{ "source_file": "0930", "source_platform": "研究机构", "author": "fast.ai", "title_listed": "fast.ai 博客", "keywords": "深度学习,机器学习,AI", "domain": "机器学习", "content_type": "博客", "is_paid_flag": "否", "url": "https://www.fast.ai/", "publish_date": "持续更新", "corpus_stage": "机器学习", "notes": "fast.ai 博客首页", "id": "80bad7f8c4d4", "collected_at": "2026-10-02T16:07:36", "title": "fast.ai—Making neural nets uncool again – fast.ai", "body_markdown": "Courses\n:\nHow to Solve it With Code\n;\nPractical Deep Learning for Coders\nSoftware\n:\nfastai for PyTorch\n;\nnbdev\nBook\n:\nPractical Deep Learning for Coders with fastai and PyTorch\nIn the news\n:\nThe Economist\n;\nThe New York Times\n;\nMIT Tech Review\nBlog\nMy friends all hate AI; I just joined an AI startup\neducation\nai-in-society\nOver a decade after co-founding fast.ai, I am returning to the field\nAug 18, 2026\nRachel Thomas\nI Don’t Want a Learning Dashboard for My Child\neducation\ntechnical\nWhat analog and AI education both get wrong\nFeb 17, 2026\nRachel Thomas\nBreaking the Spell of Vibe Coding\nai-in-society\ntechnical\nSinister variations on the positive state of flow\nJan 28, 2026\nRachel Thomas\nHow To Use AI for the Ancient Art of Close Reading\neducation\ntechnical\nExperiments in reading with LLMs\nJan 21, 2026\nRachel Thomas\nStop Saying Boredom is Good for Kids\neducation\nChronic boredom causes stress, disengagement, and poor well-being in adults. So why do we glorify it for children?\nDec 3, 2025\nRachel Thomas\nA Guide to Solveit Features\ntechnical\nAn overview of the features of the Solveit platform, which is designed to make exploration and iterative development easier and faster.\nNov 7, 2025\nSolveit and Kerem Turgutlu\nBuild to Last\nadvice\ntechnical\nChris Lattner on software craftsmanship and AI\nOct 30, 2025\nJeremy Howard\nLet’s Build the GPT Tokenizer: A Complete Guide to Tokenization in LLMs\ntechnical\nA text and code version of Karpathy’s famous tokenizer video.\nOct 16, 2025\nAndrej Karpathy, via Solveit and Kerem Turgutlu\nHow to Solve it With Code course now available\ncourses\nAn email sent to all fast.ai forum users.\nOct 15, 2025\nJeremy Howard\nfasttransform: Reversible Pipelines Made Simple\ntechnical\nIntroducing fasttransform, a Python library that makes data transformations reversible and extensible through the power of multiple dispatch.\nFeb 20, 2025\nRens Dimmendaal, Hamel Husain, & Jeremy Howard\nWhat AI can tell us about microscope slides\nhealth\ntechnical\nA friendly introduction to Foundation Models for Computational Pathology\nFeb 3, 2025\nRachel Thomas\nA New Chapter for fast.ai: How To Solve It With Code\neducation\ncourses\nfast.ai is joining Answer.AI, and we’re announcing a new kind of educational experience, ‘How To Solve It With Code’\nNov 7, 2024\nJeremy Howard\nIn defense of screen time\neducation\nPundits say my husband and I are parenting wrong.\nOct 29, 2024\nRachel Thomas\nA new old kind of R&D lab\nai-in-society\ntechnical\nAnswer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs.\nDec 12, 2023\nJeremy Howard\nCan LLMs learn from a single example?\ntechnical\nWe’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.\nSep 4, 2023\nJeremy Howard and Jonathan Whitaker\nThe real risk of AI is how it concentrates power\nai-in-society\nMoving AI ethics beyond explainability and fairness to justice\nJul 29, 2023\nRachel Thomas\nAI Safety and the Age of Dislightenment\nai-in-society\nModel licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways\nJul 10, 2023\nJeremy Howard\nIs Avoiding Extinction from AI Really an Urgent Priority?\nai-in-society\nThe history of technology suggests that the greatest risks come not from the tech, but from the people who control it\nMay 30, 2023\nSeth Lazar, Jeremy Howard, & Arvind Narayanan\nMojo may be the biggest programming language advance in decades\ntechnical\nMojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems.\nMay 4, 2023\nJeremy Howard\nFrom Deep Learning Foundations to Stable Diffusion\ncourses\nWe’ve released our new course with over 30 hours of video content.\nApr 4, 2023\nJeremy Howard\nGPT 4 and the Uncharted Territories of Language\nai-in-society\nLanguage is a source of limitation and liberation. GPT 4 pushes this idea to the extreme by giving us access to unlimited language.\nMar 20, 2023\nJeremy Howard\nI was an AI researcher. Now, I am an immunology student.\neducation\nLast year, I became captivated by a new topic in a way that I hadn’t felt since I first discovered machine learning\nFeb 7, 2023\nRachel Thomas\n1st Two Lessons of From Deep Learning Foundations to Stable Diffusion\ncourses\n4 videos from Practical Deep Learning for Coders Part 2, 2022 have been released as a special early preview of the new course.\nOct 19, 2022\nJeremy Howard\nDeep Learning Foundations Signup, Open Source Scholarships, & More\ncourses\nSignups are now open for Practical Deep Learning for Coders Part 2, 2022. Scholarships are available for fast.ai community contributors, open source developers, and diversity scholars.\nSep 23, 2022\nJeremy Howard\nFrom Deep Learning Foundations to Stable Diffusion\ncourses\nPractical Deep Learning for Coders part 2, 2022\nSep 16, 2022\nJeremy Howard\nMy family’s unlikely homeschooling journey\neducation\nPrior to 2020, we never expected to homeschool, and now we have committed to it long-term.\nSep 6, 2022\nRachel Thomas\nThe Jupyter+git problem is now solved\ntechnical\nPreviously, using git with Jupyter could create conflicts and break notebooks. With nbdev2, the problem has been totally solved.\nAug 25, 2022\nJeremy Howard\nnbdev+Quarto: A new secret weapon for productivity\ntechnical\nOur favorite tool for software engineering productivity–nbdev, now re-written with Quarto\nJul 28, 2022\nHamel Husain and Jeremy Howard\nPractical Deep Learning for Coders 2022\ncourses\nA complete from-scratch rewrite of fast.ai’s most popular course, that’s been 2 years in the making.\nJul 21, 2022\nJeremy Howard\nMasks for COVID: Updating the evidence\nhealth\nNotes taken whilst preparing a paper on mask efficacy from Nov to Jan 2022. My previous paper on this was written in April 2020 and published in the Proceedings of the National Academy of Science\nJul 4, 2022\nJeremy Howard\nQualitative humanities research is crucial to AI\nai-in-society\nFollowing the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.\nJun 1, 2022\nLouisa Bartolo and Rachel Thomas\nAI Harms are Societal, Not Just Individual\nai-in-society\nIn the west, our ideas of harm are largely anchored to an individual being harmed by a particular action at a discrete moment in time. Yet the harms caused by algorithmic systems are often collective and communal.\nMay 17, 2022\nRachel Thomas and Louisa Bartolo\nThere’s no such thing as not a math person\nadvice\neducation\nMany cultural factors, misconceptions, stereotypes, and obstacles turn people off to math.\nMar 15, 2022\nRachel Thomas\n7 Great Lightning Talks Related to Data Science Ethics\nai-in-society\nLightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy\nMar 14, 2022\nRachel Thomas\nDoing Data Science for Social Good, Responsibly\nai-in-society\nWhile data for social good projects can be useful, there are also pitfalls to avoid.\nNov 23, 2021\nRachel Thomas\nAvoiding Data Disasters\ntechnical\nai-in-society\nThings can go disastrously wrong on data science and machine learning projects when we undervalue data work, use data in contexts that it wasn’t gathered for, or ignore the crucial role that humans play in the data science pipeline.\nNov 4, 2021\nRachel Thomas\nSARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety\nhealth\nAll approved SARS-CoV-2 vaccines provide far more benefits than risks. The very rare risk of VITT from the AZ and JJ vaccines is not due to the spike proteins, but is most likely due to details of their formulation.\nOct 27, 2021\nJeremy Howard and Uri Manor\nStatistical problems found when studying Long Covid in kids\nhealth\ntechnical\nStatistical tests need to be paired with proper data and study design to yield valid results. A recent review paper on Long Covid in children provides a useful example of how researchers can get this wrong. We use causal diagrams to decompose the problem and illustrate where errors were made.\nOct 17, 2021\nJeremy Howard\nMedicine is Political\nhealth\nFrom covid-19 to HIV research to the long history of wrongly assuming women’s illnesses are psychosomatic, we have seen again and again that medicine, like all science, is political.\nOct 12, 2021\nRachel Thomas\nInaccuracies, irresponsible coverage, and conflicts of interest in The New Yorker\nhealth\nLetter to the editor of the New Yorker on the irresponsible description of a suicide, undisclosed financial conflicts of interest, and omission of relevant medical research and historical context in their recent long covid article\nSep 25, 2021\nRachel Thomas\nAustralia can, and must, get R under 1.0\nhealth\nBy using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.\nSep 3, 2021\nJeremy Howard\nGetting Specific about AI Risks (an AI Taxonomy)\nai-in-society\nThe term “Artificial Intelligence” is a broad umbrella, referring to a variety of techniques applied to a range of tasks. This breadth can breed confusion. Success in using…\nAug 16, 2021\nRachel Thomas\n11 Short Videos About AI Ethics\nai-in-society\nI made a playlist of 11 short videos (most are 6-13 mins long) on Ethics in Machine Learning. This is from my ethics lecture in Practical Deep Learning for Coders v4. I…\nAug 16, 2021\nRachel Thomas\nfastai A Layered API for Deep Learning\nAbstract:\nfastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard…\nAug 13, 2021\nJeremy Howard and Sylvain Gugger\nfastdownload: the magic behind one of the famous 4 lines of code\ntechnical\nSummary\n:\nToday we’re launching fastdownload, a new library that makes it easy for your users to download, verify, and extract archives.\nAug 2, 2021\nJeremy Howard\nIs GitHub Copilot a blessing, or a curse?\ntechnical\nGitHub Copilot is a new service from GitHub and OpenAI, described as “Your AI pair programmer”. It is a plugin to Visual Studio Code which auto-generates code for you based…\nJul 19, 2021\nJeremy Howard\nfastchan, a new conda mini-distribution\ntechnical\nSummary: today we’re announcing fastchan, a new conda mini-distribution with a focus on the PyTorch ecosystem. Using fastchan, installation and updates of libraries such as P…\nJul 15, 2021\nJeremy Howard\n20 Years of Tech Startup Experiences in One Hour\nai-in-society\nI’ve just returned to Australia to live, after a decade as an entrepreneur in San Francisco. For my first in-person talk in Australia, I shared my thoughts on how to build a…\nMay 26, 2021\nJeremy Howard\nI violated a code of conduct\nai-in-society\nUpdate Oct 30, 2020\n: NumFOCUS has apologized to me. I accept their apology. I do not accept their assertion that “At the time of the interview, the committee had not…\nOct 28, 2020\nJeremy Howard\nAvoiding the smoke - how to breath clean air\nadvice\nhealth\nYou can use filters in your mask, your home central air, and your fans to clean the air in your home.\nSep 11, 2020\nJeremy Howard\nfast.ai releases new deep learning course, four libraries, and 600-page book\ncourses\ntechnical\nWe’re releasing Practical Deep Learning for Coders (2020), fastai v2, fastcore, and fastgpu.\nAug 21, 2020\nJeremy Howard\nForward from the ‘Deep Learning for Coders’ Book\ncourses\nTo celebrate the release of fast.ai’s new course, book, and software libraries on August 21st, we’re making available the foreword that Soumith Chintala (the co-creator of PyTorch) wrote for the book\nAug 20, 2020\nSoumith Chintala\nApplied Data Ethics, a new free course, is essential for all working in tech\nai-in-society\ncourses\nFree, online course from fast.ai and University of San Francisco Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism.\nAug 19, 2020\nRachel Thomas\nEssential Work-From-Home Advice: Cheap and Easy Ergonomic Setups\nadvice\nhealth\nYou can permanently damage your back, neck, and wrists from working without an ergonomic setup. Learn how to create one for less at home.\nAug 6, 2020\nRachel Thomas\nCloth masks can protect the wearer\nhealth\nDIY masks aren’t just for protecting those around you. They can protect you too, but material and fit matters a lot. Learn what works, based on the latest research.\nJul 10, 2020\nJeremy Howard\nParticle sizes for mask filtration\nhealth\nSARS-CoV-2 does not float in the air. It’s expelled as large droplets, which are easily caught by a cloth mask.\nJun 26, 2020\nJeremy Howard\nIntroducing the first cohort of USF CADE Data Ethics Research Fellows\nai-in-society\nThe University of San Francisco Center for Applied Data Ethics welcomes its first cohort of research fellows.\nJun 16, 2020\nRachel Thomas\nMasks - FAQ for Skeptics\nhealth\nWearing a mask decreases the number of people infected by an infectious wearer, because it reduces by around 99% the number of droplets that are ejected during speech\nApr 20, 2020\nJeremy Howard\nMasks for all? The science says yes.\nhealth\nMost scientific evidence points in the same direction: keep your droplets to yourself - wear a mask\nApr 13, 2020\nProfessor Trisha Greenhalgh OBE and Jeremy Howard\n6 Important Videos about Tech, Ethics, Policy, and Government\nai-in-society\nAt the CADE Tech Policy Workshop, members of local government, activists, researchers, and those in industry shared prespectives on how to understand the uses, risks, and opporutnities around government use of technology.\nMar 31, 2020\nRachel Thomas\nSaving The Mask\nhealth\nAn initiative from STEM teachers in Hong Kong to make reusable masks, for the community, by the community\nMar 20, 2020\nSarada Lee\nCovid-19, your community, and you - a data science perspective\nhealth\nWe are data scientists—that is, our job is to understand how to analyze and interpret data. When we analyze the data around covid-19, we are very concerned. The most…\nMar 9, 2020\nJeremy Howard and Rachel Thomas\nDisinformation: what it is, why it’s pervasive, and proposed regulations\nai-in-society\nAt the CADE Tech Policy Workshop, experts Renee DiResta and Guillaume Chaslot spoke on disinformation, including the dyanmics that cause it to go viral and attempts towards addressing it.\nFeb 26, 2020\nRachel Thomas\nTech Ethics Crisis: The Big Picture, and How We Got Here\nai-in-society\nAt the CADE Tech Policy Workshop, Y-Vonne Hutchinson spoke about the role of tech in facilitating mass atrocity, and Catherine Bracy spoke on the need for empathy and collective action.\nFeb 9, 2020\nRachel Thomas\n4 Principles for Responsible Government Use of Technology\nai-in-society\nAs governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.\nJan 21, 2020\nRachel Thomas\nBlogging with Jupyter Notebooks\ntechnical\nWith Jupyter Notebooks and fast_template, we can easily share prose, code, tables, charts, and more!\nJan 20, 2020\nJeremy Howard\nYour own blog with GitHub Pages and fast_template (4 part tutorial)\ntechnical\nOverview of 4 part series explaining how to host your own blog without any coding\nJan 20, 2020\nJeremy Howard\nBlogging with screenshots\ntechnical\nWe show how to use fast_template’s special ‘screenshot’ feature to get high-resolution screenshots\nJan 19, 2020\nJeremy Howard\nSyncing your blog with your PC, and using your word processor\ntechnical\nWith GitHub Pages you can synchronize your blog with your computer, and write posts with MS Word or Google Docs\nJan 18, 2020\nJeremy Howard\nYour own hosted blog, the easy, free, open way (even if you’re not a computer expert)\ntechnical\nAn easy and free approach to using an entirely browser-based interface for all your blogging needs\nJan 16, 2020\nJeremy Howard\nSelf-supervised learning and computer vision\ntechnical\nPretrain a model using labels that are naturally part of the input data, instead of using external labels\nJan 13, 2020\nJeremy Howard\nData project checklist\ntechnical\nThere’s a lot more to creating useful data projects than just training an accurate model\nJan 7, 2020\nJeremy Howard\nnbdev: use Jupyter Notebooks for everything\ntechnical\nnbdev is a Python programming environment which allows you to create complete python packages, including tests and a rich documentation system, all in Jupyter Notebooks\nDec 2, 2019\nJeremy Howard\nConcerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics\nai-in-society\nThree months after the launch of CADE, find out what we’ve been up to and how you can get involved.\nNov 4, 2019\nRachel Thomas\nThe problem with metrics is a big problem for AI\nai-in-society\ntechnical\nUnthinkingly optimizing metrics can lead to a variety of grave harms, and what most current AI approaches do is to optimize metrics.\nSep 24, 2019\nRachel Thomas\n8 Things You Need to Know about Surveillance\nai-in-society\n8 important truths about surveillance\nAug 7, 2019\nRachel Thomas\nMake Delegation Work in Python\nFixing the delegation program using\ndelegates\ndecorator and\nGetAttr\nAug 6, 2019\nJeremy Howard\nUSF Launches New Center of Applied Data Ethics\nai-in-society\ncourses\nUniversity of San Francisco is launching a Center of Applied Data Ethics, and Rachel Thomas is the director of the new center.\nAug 5, 2019\nRachel Thomas\nnew fast.ai course: A Code-First Introduction to Natural Language Processing\ntechnical\ncourses\nfast.ai’s newest course is Code-First Intro to NLP. It covers a blend of traditional NLP techniques, recent deep learning approaches, and urgent ethical issues.\nJul 8, 2019\nRachel Thomas\nDeep Learning from the Foundations\ncourses\nToday we are releasing a new course, Deep Learning from the Foundations, which shows how to build a state of the art deep learning model from scratch.\nJun 28, 2019\nJeremy Howard\nA LaTeX add-in for PowerPoint - my father’s day project\ntechnical\nFor creating presentations there’s a lot of features in PowerPoint that are hard to beat. So it’s not surprising that it’s a very popular tool—I see a lot of folks…\nJun 17, 2019\nJeremy Howard\nWas this Google Executive deeply misinformed or lying in the New York Times?\nai-in-society\nYouTube has played a significant role in radicalizing people into conspiracy theories that promote white supremacy, anti-vaxxing, denial of mass shootings, climate change…\nMay 28, 2019\nRachel Thomas\nAdvice for Better Blog Posts\nadvice\nA blog is like a resume, only better. I’ve been invited to give keynote talks based on my posts, and I know of people for whom blog posts have led to job offers. I’ve…\nMay 13, 2019\nRachel Thomas\nDecrappification, DeOldification, and Super Resolution\ncourses\nWe presented this work at the Facebook f8 conference. You can see this video of our talk here, or read on for more details and examples.\nMay 3, 2019\nJason Antic (Deoldify), Jeremy Howard (fast.ai), and Uri Manor (Salk Institute)\n16 Things You Can Do to Make Tech More Ethical, part 3\nai-in-society\nThis post is part 3 in a series. Please check out part 1 here and part 2 here.\nMay 3, 2019\nRachel Thomas\n16 Things You Can Do to Make Tech More Ethical, part 2\nai-in-society\nThis post is part 2 in a 3-part series. Please check out part 1 and part 3 as well\n.\nApr 25, 2019\nRachel Thomas\n16 Things You Can Do to Make Tech More Ethical, part 1\nai-in-society\nThis post is part 1 in a 3-part series. Please check out part 2 and part 3 as well\n.\nApr 22, 2019\nRachel Thomas\nfast.ai Embracing Swift for Deep Learning\ntechnical\nNote from Jeremy\n: If you want to join the next deep learning course at the University of San Francisco, discussed below, please apply as soon as possible because it’s under…\nMar 6, 2019\nJeremy Howard\nA Conversation about Tech Ethics with the New York Times Chief Data Scientist\nai-in-society\nNote from Rachel: Although I’m excited about the positive potential of tech, I’m also scared about the ways that tech is having a negative impact on society, and I’m…\nMar 4, 2019\nRachel Thomas and Chris Wiggins\nDairy farming, solar panels, and diagnosing Parkinson’s disease: what can you do with deep learning?\nai-in-society\ncourses\nMany people incorrectly assume that AI is only for an elite few– a handful of Silicon Valley computer science prodigies with monthly budgets larger than most people’s…\nFeb 21, 2019\nRachel Thomas\nfastec2: AWS computer management for regular folks\ntechnical\nThis is part 1 of a series on fastec2. To learn how to run and monitor long-running tasks with fastec2 check out part 2.\nFeb 15, 2019\nJeremy Howard\nfastec2 script: Running and monitoring long-running tasks\ntechnical\nThis is part 2 of a series on fastec2. For an introduction to fastec2, see part 1.\nFeb 15, 2019\nJeremy Howard\nSome thoughts on zero-day threats in AI, and OpenAI’s GPT-2\nai-in-society\nThere’s been a lot of discussion in the last couple of days about OpenAI’s new language model. OpenAI made the unusual decision to not release their trained model (the AI…\nFeb 15, 2019\nJeremy Howard\nFive Things That Scare Me About AI\nai-in-society\nAI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and…\nJan 29, 2019\nRachel Thomas\nfast.ai Diversity Fellows and Sponsors Wanted\ncourses\nThis post was originally published on 2018-08-16, but has been updated for the newest, upcoming course.\nJan 28, 2019\nRachel Thomas\nPractical Deep Learning for Coders 2019\ncourses\nLaunching today, the 2019 edition of Practical Deep Learning for Coders, the third iteration of the course, is 100% new material, including applications that have never been…\nJan 24, 2019\nJeremy Howard\nC++11, random distributions, and Swift\ntechnical\nGenerating numbers from random distributions is a practically useful tool that any coder is likely to need at some point. C++11 added a rich set of random distribution…\nJan 13, 2019\nJeremy Howard\nHigh Performance Numeric Programming with Swift: Explorations and Reflections\ntechnical\nOver the past few weeks I’ve been working on building some numeric programming libraries for Swift. But wait, isn’t Swift just what iOS programmers use for building apps?…\nJan 10, 2019\nJeremy Howard\nOne year of deep learning\nadvice\nMy resolution for 2018 was to get into deep learning. I had stumbled upon a website called fast.ai in October 2017 after reading an article from the New York Times…\nJan 2, 2019\nSylvain Gugger\nThe new fast.ai research datasets collection, on AWS Open Data\ncourses\ntechnical\nIn machine learning and deep learning we can’t do anything without data. So the people that create datasets for us to train our models are the (often under-appreciated)…\nOct 16, 2018\nJeremy Howard (\nfast.ai\n) and Jed Sundwall (\nOpen Data Global Lead, AWS\n)\nfastai v1 for PyTorch: Fast and accurate neural nets using modern best practices\ntechnical\nNote from Jeremy\n: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview.\nOct 2, 2018\nJeremy Howard\nIntroduction to Machine Learning for Coders: Launch\ncourses\nToday we’re launching our newest (and biggest!) course, Introduction to Machine Learning for Coders. The course, recorded at the University of San Francisco as part of the Ma…\nSep 26, 2018\nJeremy Howard\nAI Ethics Resources\nadvice\nai-in-society\nMy newest Ask-A-Data-Scientist post was inspired by a computer science student who wrote in asking for advice on how to pursue a career in policy making related to the…\nSep 24, 2018\nRachel Thomas\nWhat You Need to Know Before Considering a PhD\nadvice\neducation\nMy newest Ask-A-Data-Scientist post addresses the question of whether to pursue a PhD. You can find my previous Ask-A-Data-Scientist advice columns here.\nAug 27, 2018\nRachel Thomas\nPractical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018\ncourses\nAt fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. We are providing diversity…\nAug 16, 2018\nRachel Thomas\nNow anyone can train Imagenet in 18 minutes\ntechnical\nThis post extends the work described in a previous post, Training Imagenet in 3 hours for $25; and CIFAR10 for $0.26.\nAug 10, 2018\nJeremy Howard\nWhat HBR Gets Wrong About Algorithms and Bias\nai-in-society\nThe Harvard Business Review recently published an article, Want Less-Biased Decisions? Use Algorithms. by Alex P. Miller. The article focuses on the fact that humans make…\nAug 7, 2018\nRachel Thomas\nGoogle’s AutoML: Cutting Through the Hype\ntechnical\nThis is part 3 in a series. Part 1 is here and Part 2 is here.\nJul 23, 2018\nRachel Thomas\nAn Opinionated Introduction to AutoML and Neural Architecture Search\ntechnical\nThis is part 2 in a series. Check out part 1 here and part 3 here.\nJul 16, 2018\nRachel Thomas\nWhat do machine learning practitioners actually do?\ntechnical\nThis post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.\nJul 12, 2018\nRachel Thomas\nAdamW and Super-convergence is now the fastest way to train neural nets\ntechnical\nNote from Jeremy:\nWelcome to fast.ai’s first scholar-in-residence, Sylvain Gugger. What better way to introduce him than to publish the results of his first research…\nJul 2, 2018\nSylvain Gugger and Jeremy Howard\nLaunching Cutting Edge Deep Learning for Coders: 2018 edition\ncourses\nToday we are launching the 2018 edition of\nCutting Edge Deep Learning for Coders\n, part 2 of fast.ai’s\nfree\ndeep learning course. Just as with our part 1\nPractical Deep…\nMay 7, 2018\nJeremy Howard\nTraining Imagenet in 3 hours for USD 25; and CIFAR10 for USD 0.26\ntechnical\nPosted: May 2, 2018\nApr 30, 2018\nJeremy Howard\nAn Introduction to Deep Learning for Tabular Data\ntechnical\nThere is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff Dean), Pinterest, and Instacart, yet that many people don’t…\nApr 29, 2018\nRachel Thomas\nWhat you need to know about Facebook and Ethics\nai-in-society\nWhile many news outlets have covered what Zuckerberg wore for his testimony before congress last week, I wish that several more substantial issues were getting greater…\nApr 19, 2018\nRachel Thomas\nA Discussion about Accessibility in AI at Stanford\nadvice\nI recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford…\nApr 10, 2018\nRachel Thomas\nAdding Data Science to your College Curriculum\nadvice\nWe keep hearing that data scientist is the hottest job of the 21st century and that there is a cross-industry shortage of employees with enough data skills, yet the idea of…\nFeb 27, 2018\nRachel Thomas\nPractical Deep Learning for Coders 2018\ncourses\nLast year we announced that we were developing a new deep learning course based on Pytorch (and a new library we have built, called fastai), with the goal of allowing more…\nJan 26, 2018\nJeremy Howard\nInternational Fellowship applications for Part 2 now open\ncourses\nFrom the time of our very first deep learning course at the USF Data Institute (which was recorded and formed the basis of our MOOC), we have allowed selected students that…\nJan 17, 2018\nRachel Thomas\nNew Opportunities For New Deep Learning Practitioners\ncourses\nai-in-society\nDawit Haile\nfought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off…\nJan 9, 2018\nRachel Thomas\nFive Trends to Avoid When Founding a Startup\nadvice\nThis post was inspired by a round-table discussion I led on the topics of founding start-ups and personal branding at the Women in Machine Learning Workshop, co-located with…\nJan 8, 2018\nRachel Thomas\nDeep Learning Diversity Fellowship Applications Now Open\ncourses\nCutting Edge Deep Learning for Coders (Part 2) will be taught this spring at the USF Data Institute in downtown San Francisco, on Monday evenings from March 19 to April 30.…\nJan 2, 2018\nRachel Thomas\nMaking Peace with Personal Branding\nadvice\nAs a child, I was nerdy and shy. At my elementary and middle schools, we had to present our science projects to judges in the school science fair each year, and I noticed…\nDec 18, 2017\nRachel Thomas\nWhat you need to do deep learning\nadvice\ntechnical\nThis post has been translated into Chinese here.\nNov 16, 2017\nRachel Thomas\nHow (and why) to create a good validation set\ntechnical\nAn all-too-common scenario: a seemingly impressive machine learning model is a complete failure when implemented in production. The fallout includes leaders who are now…\nNov 13, 2017\nRachel Thomas\nWhen Data Science Destabilizes Democracy and Facilitates Genocide\nai-in-society\nWhat we’re talking about is a cataclysmic change… What we’re talking about is a major foreign power with sophistication and ability to involve themselves in a presidential…\nNov 2, 2017\nRachel Thomas\nCredible sources of accurate information about AI\nadvice\nThere is a lot of misleading and even false information about AI out there, ranging from apallingly bad journalism to overhyped marketing materials to quotes from…\nSep 19, 2017\nRachel Thomas\nCan Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective\nai-in-society\nThis post has been translated into Chinese here.\nSep 13, 2017\nJeremy Howard\nIntroducing Pytorch for fast.ai\ntechnical\ncourses\nThe next fast.ai courses will be based nearly entirely on a new framework we have developed, built on Pytorch. Pytorch is a different kind of deep learning library (dynamic…\nSep 8, 2017\nJeremy Howard\nInternational Fellowship applications for Part 1 now open\ncourses\nThis post is from 2017. To apply for the 2018 version, please read this post\nSep 8, 2017\nJeremy Howard\nNotes on state of the art techniques for language modeling\ntechnical\nEdit one day later… Much to my surprise a lot of people shared this on twitter, and much to my delight there were some very helpful and interesting comments from people I…\nAug 25, 2017\nJeremy Howard\nAdvice to Medical Experts Interested in AI\nadvice\nThis week’s Ask-A-Data-Scientist column is from a medical doctor. Email your data science advice questions to mailto:\n[email protected]\n. Previous posts include:\nAug 21, 2017\nRachel Thomas\nSponsor a Deep Learning Diversity Scholarship\ncourses\nLast year’s diversity fellowships (funded by University of San Francisco and fast.ai), open to women, people of Color, LGBTQ people, and vets, played a role in helping us…\nAug 17, 2017\nRachel Thomas\nDiversity Crisis in AI, 2017 edition\nai-in-society\nDeep learning has great potential, but currently the people using this technology are overwhelmingly white and male. We’re already seeing society’s racial and gender biases…\nAug 16, 2017\nRachel Thomas\nAnnouncing fast.ai diversity scholarships\ncourses\nAt fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. Therefore, we are providing diversity…\nAug 15, 2017\nRachel Thomas\nCutting Edge Deep Learning for Coders: Launching Deep Learning Part 2\ncourses\nSpecial note: we’re teaching a fully updated part 1, in person, for seven weeks from Oct 30, 2017, at the USF Data Institute. See the course page for details and application…\nJul 28, 2017\nJeremy Howard\nThoughts on OpenAI, reinforcement learning, and killer robots\nai-in-society\n“So how is fast.ai different from OpenAI?” I’ve been asked this question numerous times, and on the surface, there are several similarities: both are non-profits, both value…\nJul 28, 2017\nRachel Thomas\nNew fast.ai course: Computational Linear Algebra\ncourses\nI am thrilled to release fast.ai’s newest free course,\nComputational Linear Algebra\n, including an online textbook and a series of videos, and covering applications (using…\nJul 17, 2017\nRachel Thomas\nHow to Encourage Your Child’s Interest in Science and Tech\nadvice\nThis week’s Ask-A-Data-Scientist column is from a parent on how to encourage their child in STEAM. Please email your data science related quandaries to mailto:\n[email protected]\n.…\nMay 7, 2017\nRachel Thomas\nAlternatives to a Degree to Prove Yourself in Deep Learning\nadvice\nThis post has been translated into Chinese here.\nApr 6, 2017\nRachel Thomas\nTo become a data scientist, focus on coding\nadvice\nThis week’s Ask-A-Data-Scientist column answers two short questions from students. Please email your data science related quandaries to mailto:\n[email protected]\n. Note that…\nMar 23, 2017\nRachel Thomas\nMachine learning hasn’t been commoditized yet, but that doesn’t mean you need a PhD\nadvice\nThis post has been translated into Chinese here.\nMar 17, 2017\nRachel Thomas\nHow to change careers and become a data scientist - one quant’s experience\nadvice\nThis post has been translated into Chinese here.\nMar 1, 2017\nRachel Thomas\nDeep Learning: Not Just for Silicon Valley\nai-in-society\ncourses\nRecent American news events range from horrifying to dystopian, but reading the applications of our fast.ai international fellows brought me joy and optimism. I was blown…\nFeb 27, 2017\nRachel Thomas\nDeep Learning For Coders - Full notes and transcripts now available\ncourses\nWe’ve been so excited to watch the thousands of people working their way through part 1 of Practical Deep Learning For Coders, and the buzzing community that has formed…\nFeb 24, 2017\nDiversity and International Fellowships for Deep Learning Part 2\ncourses\nApplications are now open for Deep Learning Part 2, to be offered at the University of San Francisco Data Institute on Monday evenings, Feb 27-April 10. The course will cover…\nJan 28, 2017\nRachel Thomas\nPractical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning\ncourses\nWith part 2 of our in person SF course starting in 6 weeks, and applications having just opened, we figured we better tell you a bit about what to expect!… So here’s an…\nJan 17, 2017\nJeremy Howard\nBig deep learning news: Google Tensorflow chooses Keras\ntechnical\nBuried in a Reddit comment, Francois Chollet, author of Keras and AI researcher at Google, made an exciting announcement: Keras will be the first high-level library added to…\nJan 3, 2017\nRachel Thomas\nWhere is AI/ML actually adding value at your company?\nai-in-society\nadvice\nAn interesting thread came up over at Hacker News: Ask HN: Where is AI/ML actually adding value at your company?. And the folks at High Scalability were good enough to summar…\nDec 29, 2016\nJeremy Howard\nThe Deep Learning MOOC is now available!\ncourses\nWe’re very excited and proud to announce the launch of the fast.ai Deep Learning MOOC. It contains all the lessons from the in-person course we’ve been discussing here over…\nDec 24, 2016\nJeremy Howard\n(Update - problem resolved!) Azure and AWS’s ‘GPU general availability’ lies\ntechnical\nHuge thanks to Boyd Mcgeachie from AWS for reaching out to us and organizing a (nearly) frictionless AWS onboarding experience for our MOOC participants. He couldn’t have…\nDec 19, 2016\nJeremy Howard\nSo you are interested in deep learning\nadvice\nThis was inspired by a bright high school student that emailed me for advice about his interest in deep learning.\nDec 19, 2016\nRachel Thomas\nHow should you structure your Data Science and Engineering teams?\nadvice\nI sometimes receive emails asking for guidance related to data science, and I’m going to start sharing my answers here as a data science advice column. If you have a data…\nDec 8, 2016\nRachel Thomas\nIt used to be called big data and now it’s called deep learning\ntechnical\nadvice\nAt the Financial Times-Nikkei conference on\nThe Future of AI, Robots, and Us\na few weeks ago, Andreessen Horowitz partner Chris Dixon spoke just before Jeremy Howard and I…\nNov 17, 2016\nRachel Thomas\nAdditional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17\ncourses\nWe have been getting a lot of interest in our upcoming deep learning course over the last couple of days. With applications closing today, we’ve heard from USF that they…\nOct 12, 2016\nRachel Thomas\nNew Electricity\nai-in-society\nadvice\nI’ve been saying for some time that Deep Learning is going to be even more transformative than the internet. This view is shared by the always insightful Andrew Ng (Chief…\nOct 11, 2016\nJeremy Howard\nThe Diversity Crisis in AI, and fast.ai Diversity Fellowship\nai-in-society\ncourses\nUpdate: The deadline has been extended to 10/17. Read more here\nOct 9, 2016\nRachel Thomas\nWhat We Will Cover in the First Deep Learning Certificate\ncourses\nFor those of you considering joining our deep learning certificate, I’m sure you’d like to hear more about what we will be covering. This first course if part 1 of a two…\nOct 8, 2016\nJeremy Howard & Rachel Thomas\nProviding a Good Education in Deep Learning\ncourses\neducation\nPaul Lockhart, a Columbia math PhD, former Brown professor, and K-12 math teacher, writes in the influential essay A Mathematician’s Lament of a nightmare world where…\nOct 8, 2016\nRachel Thomas\nA unique path to deep learning expertise\ncourses\nIf you’re considering investing time in studying deep learning with fast.ai, then we want to give you all the information you need to decide whether you could benefit from…\nOct 8, 2016\nJeremy Howard\nThe First Certificate in Deep Learning\ncourses\nUpdate: The deadline has been extended to 10/17\nOct 8, 2016\nJeremy Howard\nLaunching fast.ai\nai-in-society\nJeremy is the past president of Kaggle, founder of Enlitic, FastMail.FM, and Optimal Decisions Group, and is on the faculty at Singularity University. 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