fast.ai—Making neural nets uncool again – fast.ai Overview & Contact Data

CategoriesAll (158)advice (24)ai-in-society (44)Blog (1)courses (40)education (7)health (14)machine learning (2)science (1)technical (42)Other FormatsCommonMark Courses: How to Solve it With Code; Practical Deep Learning for Coders Software: fastai for PyTorch; nbdev Book: Practical Deep Learning for Coders with fastai and PyTorch In the news: The Economist; The New York Times; MIT Tech Review Blog Stop Saying Boredom is Good for Kids education Chronic boredom causes stress, disengagement, and poor well-being in adults. So why do we glorify it for children? Dec 3, 2025 Rachel Thomas A Guide to Solveit Features An overview of the features of the Solveit platform, which is designed to make exploration and iterative development easier and faster. Nov 7, 2025 Solveit and Kerem Turgutlu Build to Last Chris Lattner on software craftsmanship and AI Oct 30, 2025 Jeremy Howard Let’s Build the GPT Tokenizer: A Complete Guide to Tokenization in LLMs Blog A text and code version of Karpathy’s famous tokenizer video. Oct 16, 2025 Andrej Karpathy, via Solveit and Kerem Turgutlu How to Solve it With Code course now available An email sent to all fast.ai forum users. Oct 15, 2025 Jeremy Howard fasttransform: Reversible Pipelines Made Simple Introducing fasttransform, a Python library that makes data transformations reversible and extensible through the power of multiple dispatch. Feb 20, 2025 Rens Dimmendaal, Hamel Husain, & Jeremy Howard What AI can tell us about microscope slides machine learning science A friendly introduction to Foundation Models for Computational Pathology Feb 3, 2025 Rachel Thomas A New Chapter for fast.ai: How To Solve It With Code fast.ai is joining Answer.AI, and we’re announcing a new kind of educational experience, ‘How To Solve It With Code’ Nov 7, 2024 Jeremy Howard In defense of screen time education Pundits say my husband and I are parenting wrong. Oct 29, 2024 Rachel Thomas A new old kind of R&D lab Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs. Dec 12, 2023 Jeremy Howard Can LLMs learn from a single example? technical We’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. Sep 4, 2023 Jeremy Howard and Jonathan Whitaker AI and Power: The Ethical Challenges of Automation, Centralization, and Scale machine learning ai-in-society Moving AI ethics beyond explainability and fairness to empowerment and justice Jul 29, 2023 Rachel Thomas AI Safety and the Age of Dislightenment ai-in-society Model licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways Jul 10, 2023 Jeremy Howard Is Avoiding Extinction from AI Really an Urgent Priority? ai-in-society The history of technology suggests that the greatest risks come not from the tech, but from the people who control it May 30, 2023 Seth Lazar, Jeremy Howard, & Arvind Narayanan Mojo may be the biggest programming language advance in decades technical Mojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems. May 4, 2023 Jeremy Howard From Deep Learning Foundations to Stable Diffusion courses We’ve released our new course with over 30 hours of video content. Apr 4, 2023 Jeremy Howard GPT 4 and the Uncharted Territories of Language ai-in-society Language is a source of limitation and liberation. GPT 4 pushes this idea to the extreme by giving us access to unlimited language. Mar 20, 2023 Jeremy Howard I was an AI researcher. Now, I am an immunology student. education Last year, I became captivated by a new topic in a way that I hadn’t felt since I first discovered machine learning Feb 7, 2023 Rachel Thomas 1st Two Lessons of From Deep Learning Foundations to Stable Diffusion courses 4 videos from Practical Deep Learning for Coders Part 2, 2022 have been released as a special early preview of the new course. Oct 19, 2022 Jeremy Howard Deep Learning Foundations Signup, Open Source Scholarships, & More courses Signups 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. Sep 23, 2022 Jeremy Howard From Deep Learning Foundations to Stable Diffusion courses Practical Deep Learning for Coders part 2, 2022 Sep 16, 2022 Jeremy Howard My family’s unlikely homeschooling journey education Prior to 2020, we never expected to homeschool, and now we have committed to it long-term. Sep 6, 2022 Rachel Thomas The Jupyter+git problem is now solved technical Previously, using git with Jupyter could create conflicts and break notebooks. With nbdev2, the problem has been totally solved. Aug 25, 2022 Jeremy Howard nbdev+Quarto: A new secret weapon for productivity technical Our favorite tool for software engineering productivity–nbdev, now re-written with Quarto Jul 28, 2022 Hamel Husain and Jeremy Howard Practical Deep Learning for Coders 2022 courses A complete from-scratch rewrite of fast.ai’s most popular course, that’s been 2 years in the making. Jul 21, 2022 Jeremy Howard Masks for COVID: Updating the evidence health Notes 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 Jul 4, 2022 Jeremy Howard Qualitative humanities research is crucial to AI ai-in-society Following 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. Jun 1, 2022 Louisa Bartolo and Rachel Thomas AI Harms are Societal, Not Just Individual ai-in-society In 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. May 17, 2022 Rachel Thomas and Louisa Bartolo There’s no such thing as not a math person advice education Many cultural factors, misconceptions, stereotypes, and obstacles turn people off to math. Mar 15, 2022 Rachel Thomas 7 Great Lightning Talks Related to Data Science Ethics ai-in-society Lightning 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 Mar 14, 2022 Rachel Thomas Doing Data Science for Social Good, Responsibly ai-in-society While data for social good projects can be useful, there are also pitfalls to avoid. Nov 23, 2021 Rachel Thomas Avoiding Data Disasters technical ai-in-society Things 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. Nov 4, 2021 Rachel Thomas SARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety health All 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. Oct 27, 2021 Jeremy Howard and Uri Manor Statistical problems found when studying Long Covid in kids health technical Statistical 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. Oct 17, 2021 Jeremy Howard Medicine is Political health From 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. Oct 12, 2021 Rachel Thomas Inaccuracies, irresponsible coverage, and conflicts of interest in The New Yorker health Letter 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 Sep 25, 2021 Rachel Thomas Australia can, and must, get R under 1.0 health By 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. Sep 3, 2021 Jeremy Howard Getting Specific about AI Risks (an AI Taxonomy) ai-in-society The 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… Aug 16, 2021 Rachel Thomas 11 Short Videos About AI Ethics ai-in-society I 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… Aug 16, 2021 Rachel Thomas fastai A Layered API for Deep Learning Abstract: fastai 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… Aug 13, 2021 Jeremy Howard and Sylvain Gugger fastdownload: the magic behind one of the famous 4 lines of code technical Summary: Today we’re launching fastdownload, a new library that makes it easy for your users to download, verify, and extract archives. Aug 2, 2021 Jeremy Howard Is GitHub Copilot a blessing, or a curse? technical GitHub 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… Jul 19, 2021 Jeremy Howard fastchan, a new conda mini-distribution technical Summary: 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… Jul 15, 2021 Jeremy Howard 20 Years of Tech Startup Experiences in One Hour ai-in-society I’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… May 26, 2021 Jeremy Howard I violated a code of conduct ai-in-society Update Oct 30, 2020: 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… Oct 28, 2020 Jeremy Howard Avoiding the smoke - how to breath clean air advice health You can use filters in your mask, your home central air, and your fans to clean the air in your home. Sep 11, 2020 Jeremy Howard fast.ai releases new deep learning course, four libraries, and 600-page book courses technical We’re releasing Practical Deep Learning for Coders (2020), fastai v2, fastcore, and fastgpu. Aug 21, 2020 Jeremy Howard Forward from the ‘Deep Learning for Coders’ Book courses To 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 Aug 20, 2020 Soumith Chintala Applied Data Ethics, a new free course, is essential for all working in tech ai-in-society courses Free, 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. Aug 19, 2020 Rachel Thomas Essential Work-From-Home Advice: Cheap and Easy Ergonomic Setups advice health You can permanently damage your back, neck, and wrists from working without an ergonomic setup. Learn how to create one for less at home. Aug 6, 2020 Rachel Thomas Cloth masks can protect the wearer health DIY 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. Jul 10, 2020 Jeremy Howard Particle sizes for mask filtration health SARS-CoV-2 does not float in the air. It’s expelled as large droplets, which are easily caught by a cloth mask. Jun 26, 2020 Jeremy Howard Introducing the first cohort of USF CADE Data Ethics Research Fellows ai-in-society The University of San Francisco Center for Applied Data Ethics welcomes its first cohort of research fellows. Jun 16, 2020 Rachel Thomas Masks - FAQ for Skeptics health Wearing 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 Apr 20, 2020 Jeremy Howard Masks for all? The science says yes. health Most scientific evidence points in the same direction: keep your droplets to yourself - wear a mask Apr 13, 2020 Professor Trisha Greenhalgh OBE and Jeremy Howard 6 Important Videos about Tech, Ethics, Policy, and Government ai-in-society At 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. Mar 31, 2020 Rachel Thomas Saving The Mask health An initiative from STEM teachers in Hong Kong to make reusable masks, for the community, by the community Mar 20, 2020 Sarada Lee Covid-19, your community, and you - a data science perspective health We 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… Mar 9, 2020 Jeremy Howard and Rachel Thomas Disinformation: what it is, why it’s pervasive, and proposed regulations ai-in-society At 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. Feb 26, 2020 Rachel Thomas Tech Ethics Crisis: The Big Picture, and How We Got Here ai-in-society At 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. Feb 9, 2020 Rachel Thomas 4 Principles for Responsible Government Use of Technology ai-in-society As 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. Jan 21, 2020 Rachel Thomas Blogging with Jupyter Notebooks technical With Jupyter Notebooks and fast_template, we can easily share prose, code, tables, charts, and more! Jan 20, 2020 Jeremy Howard Your own blog with GitHub Pages and fast_template (4 part tutorial) technical Overview of 4 part series explaining how to host your own blog without any coding Jan 20, 2020 Jeremy Howard Blogging with screenshots technical We show how to use fast_template’s special ‘screenshot’ feature to get high-resolution screenshots Jan 19, 2020 Jeremy Howard Syncing your blog with your PC, and using your word processor technical With GitHub Pages you can synchronize your blog with your computer, and write posts with MS Word or Google Docs Jan 18, 2020 Jeremy Howard Your own hosted blog, the easy, free, open way (even if you’re not a computer expert) technical An easy and free approach to using an entirely browser-based interface for all your blogging needs Jan 16, 2020 Jeremy Howard Self-supervised learning and computer vision technical Pretrain a model using labels that are naturally part of the input data, instead of using external labels Jan 13, 2020 Jeremy Howard Data project checklist technical There’s a lot more to creating useful data projects than just training an accurate model Jan 7, 2020 Jeremy Howard nbdev: use Jupyter Notebooks for everything technical nbdev is a Python programming environment which allows you to create complete python packages, including tests and a rich documentation system, all in Jupyter Notebooks Dec 2, 2019 Jeremy Howard Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics ai-in-society Three months after the launch of CADE, find out what we’ve been up to and how you can get involved. Nov 4, 2019 Rachel Thomas The problem with metrics is a big problem for AI ai-in-society technical Unthinkingly optimizing metrics can lead to a variety of grave harms, and what most current AI approaches do is to optimize metrics. Sep 24, 2019 Rachel Thomas 8 Things You Need to Know about Surveillance ai-in-society 8 important truths about surveillance Aug 7, 2019 Rachel Thomas Make Delegation Work in Python Fixing the delegation program using delegates decorator and GetAttr Aug 6, 2019 Jeremy Howard USF Launches New Center of Applied Data Ethics ai-in-society courses University of San Francisco is launching a Center of Applied Data Ethics, and Rachel Thomas is the director of the new center. Aug 5, 2019 Rachel Thomas new fast.ai course: A Code-First Introduction to Natural Language Processing technical courses fast.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. Jul 8, 2019 Rachel Thomas Deep Learning from the Foundations courses Today 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. Jun 28, 2019 Jeremy Howard A LaTeX add-in for PowerPoint - my father’s day project technical For 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… Jun 17, 2019 Jeremy Howard Was this Google Executive deeply misinformed or lying in the New York Times? ai-in-society YouTube has played a significant role in radicalizing people into conspiracy theories that promote white supremacy, anti-vaxxing, denial of mass shootings, climate change… May 28, 2019 Rachel Thomas Advice for Better Blog Posts advice A 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… May 13, 2019 Rachel Thomas Decrappification, DeOldification, and Super Resolution courses We 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. May 3, 2019 Jason Antic (Deoldify), Jeremy Howard (fast.ai), and Uri Manor (Salk Institute) 16 Things You Can Do to Make Tech More Ethical, part 3 ai-in-society This post is part 3 in a series. Please check out part 1 here and part 2 here. May 3, 2019 Rachel Thomas 16 Things You Can Do to Make Tech More Ethical, part 2 ai-in-society This post is part 2 in a 3-part series. Please check out part 1 and part 3 as well. Apr 25, 2019 Rachel Thomas 16 Things You Can Do to Make Tech More Ethical, part 1 ai-in-society This post is part 1 in a 3-part series. Please check out part 2 and part 3 as well. Apr 22, 2019 Rachel Thomas fast.ai Embracing Swift for Deep Learning technical Note from Jeremy: 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… Mar 6, 2019 Jeremy Howard A Conversation about Tech Ethics with the New York Times Chief Data Scientist ai-in-society Note 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… Mar 4, 2019 Rachel Thomas and Chris Wiggins Dairy farming, solar panels, and diagnosing Parkinson’s disease: what can you do with deep learning? ai-in-society courses Many 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… Feb 21, 2019 Rachel Thomas fastec2: AWS computer management for regular folks technical This is part 1 of a series on fastec2. To learn how to run and monitor long-running tasks with fastec2 check out part 2. Feb 15, 2019 Jeremy Howard fastec2 script: Running and monitoring long-running tasks technical This is part 2 of a series on fastec2. For an introduction to fastec2, see part 1. Feb 15, 2019 Jeremy Howard Some thoughts on zero-day threats in AI, and OpenAI’s GPT-2 ai-in-society There’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… Feb 15, 2019 Jeremy Howard Five Things That Scare Me About AI ai-in-society AI 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… Jan 29, 2019 Rachel Thomas fast.ai Diversity Fellows and Sponsors Wanted courses This post was originally published on 2018-08-16, but has been updated for the newest, upcoming course. Jan 28, 2019 Rachel Thomas Practical Deep Learning for Coders 2019 courses Launching 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… Jan 24, 2019 Jeremy Howard C++11, random distributions, and Swift technical Generating 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… Jan 13, 2019 Jeremy Howard High Performance Numeric Programming with Swift: Explorations and Reflections technical Over 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?… Jan 10, 2019 Jeremy Howard One year of deep learning advice My 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… Jan 2, 2019 Sylvain Gugger The new fast.ai research datasets collection, on AWS Open Data courses technical In 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)… Oct 16, 2018 Jeremy Howard (fast.ai) and Jed Sundwall (Open Data Global Lead, AWS) fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices technical Note from Jeremy: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview. Oct 2, 2018 Jeremy Howard Introduction to Machine Learning for Coders: Launch courses Today 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… Sep 26, 2018 Jeremy Howard AI Ethics Resources advice ai-in-society My 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… Sep 24, 2018 Rachel Thomas What You Need to Know Before Considering a PhD advice education My 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. Aug 27, 2018 Rachel Thomas Practical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018 courses At 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… Aug 16, 2018 Rachel Thomas Now anyone can train Imagenet in 18 minutes technical This post extends the work described in a previous post, Training Imagenet in 3 hours for $25; and CIFAR10 for $0.26. Aug 10, 2018 Jeremy Howard What HBR Gets Wrong About Algorithms and Bias ai-in-society The 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… Aug 7, 2018 Rachel Thomas Google’s AutoML: Cutting Through the Hype technical This is part 3 in a series. Part 1 is here and Part 2 is here. Jul 23, 2018 Rachel Thomas An Opinionated Introduction to AutoML and Neural Architecture Search technical This is part 2 in a series. Check out part 1 here and part 3 here. Jul 16, 2018 Rachel Thomas What do machine learning practitioners actually do? technical This 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. Jul 12, 2018 Rachel Thomas AdamW and Super-convergence is now the fastest way to train neural nets technical Note from Jeremy: Welcome 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… Jul 2, 2018 Sylvain Gugger and Jeremy Howard Launching Cutting Edge Deep Learning for Coders: 2018 edition courses Today we are launching the 2018 edition of Cutting Edge Deep Learning for Coders, part 2 of fast.ai’s free deep learning course. Just as with our part 1 Practical Deep… May 7, 2018 Jeremy Howard Training Imagenet in 3 hours for USD 25; and CIFAR10 for USD 0.26 technical Posted: May 2, 2018 Apr 30, 2018 Jeremy Howard An Introduction to Deep Learning for Tabular Data technical There 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… Apr 29, 2018 Rachel Thomas What you need to know about Facebook and Ethics ai-in-society While 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… Apr 19, 2018 Rachel Thomas A Discussion about Accessibility in AI at Stanford advice I 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… Apr 10, 2018 Rachel Thomas Adding Data Science to your College Curriculum advice We 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… Feb 27, 2018 Rachel Thomas Practical Deep Learning for Coders 2018 courses Last 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… Jan 26, 2018 Jeremy Howard International Fellowship applications for Part 2 now open courses From 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… Jan 17, 2018 Rachel Thomas New Opportunities For New Deep Learning Practitioners courses ai-in-society Dawit Haile fought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off… Jan 9, 2018 Rachel Thomas Five Trends to Avoid When Founding a Startup advice This 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… Jan 8, 2018 Rachel Thomas Deep Learning Diversity Fellowship Applications Now Open courses Cutting 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.… Jan 2, 2018 Rachel Thomas Making Peace with Personal Branding advice As 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… Dec 18, 2017 Rachel Thomas What you need to do deep learning advice technical This post has been translated into Chinese here. Nov 16, 2017 Rachel Thomas How (and why) to create a good validation set technical An 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… Nov 13, 2017 Rachel Thomas When Data Science Destabilizes Democracy and Facilitates Genocide ai-in-society What 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… Nov 2, 2017 Rachel Thomas Credible sources of accurate information about AI advice There 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… Sep 19, 2017 Rachel Thomas Can Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective ai-in-society This post has been translated into Chinese here. Sep 13, 2017 Jeremy Howard Introducing Pytorch for fast.ai technical courses The 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… Sep 8, 2017 Jeremy Howard International Fellowship applications for Part 1 now open courses This post is from 2017. To apply for the 2018 version, please read this post Sep 8, 2017 Jeremy Howard Notes on state of the art techniques for language modeling technical Edit 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… Aug 25, 2017 Jeremy Howard Advice to Medical Experts Interested in AI advice This week’s Ask-A-Data-Scientist column is from a medical doctor. Email your data science advice questions to mailto:[email protected]. Previous posts include: Aug 21, 2017 Rachel Thomas Sponsor a Deep Learning Diversity Scholarship courses Last 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… Aug 17, 2017 Rachel Thomas Diversity Crisis in AI, 2017 edition ai-in-society Deep 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… Aug 16, 2017 Rachel Thomas Announcing fast.ai diversity scholarships courses At 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… Aug 15, 2017 Rachel Thomas Cutting Edge Deep Learning for Coders: Launching Deep Learning Part 2 courses Special 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… Jul 28, 2017 Jeremy Howard Thoughts on OpenAI, reinforcement learning, and killer robots ai-in-society “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… Jul 28, 2017 Rachel Thomas New fast.ai course: Computational Linear Algebra courses I am thrilled to release fast.ai’s newest free course, Computational Linear Algebra, including an online textbook and a series of videos, and covering applications (using… Jul 17, 2017 Rachel Thomas How to Encourage Your Child’s Interest in Science and Tech advice This 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:[email protected].… May 7, 2017 Rachel Thomas Alternatives to a Degree to Prove Yourself in Deep Learning advice This post has been translated into Chinese here. Apr 6, 2017 Rachel Thomas To become a data scientist, focus on coding advice This week’s Ask-A-Data-Scientist column answers two short questions from students. Please email your data science related quandaries to mailto:[email protected]. Note that… Mar 23, 2017 Rachel Thomas Machine learning hasn’t been commoditized yet, but that doesn’t mean you need a PhD advice This post has been translated into Chinese here. Mar 17, 2017 Rachel Thomas How to change careers and become a data scientist - one quant’s experience advice This post has been translated into Chinese here. Mar 1, 2017 Rachel Thomas Deep Learning: Not Just for Silicon Valley ai-in-society courses Recent 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… Feb 27, 2017 Rachel Thomas Deep Learning For Coders - Full notes and transcripts now available courses We’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… Feb 24, 2017 Diversity and International Fellowships for Deep Learning Part 2 courses Applications 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… Jan 28, 2017 Rachel Thomas Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning courses With 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… Jan 17, 2017 Jeremy Howard Big deep learning news: Google Tensorflow chooses Keras technical Buried 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… Jan 3, 2017 Rachel Thomas Where is AI/ML actually adding value at your company? ai-in-society advice An 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… Dec 29, 2016 Jeremy Howard The Deep Learning MOOC is now available! courses We’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… Dec 24, 2016 Jeremy Howard (Update - problem resolved!) Azure and AWS’s ‘GPU general availability’ lies technical Huge 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… Dec 19, 2016 Jeremy Howard So you are interested in deep learning advice This was inspired by a bright high school student that emailed me for advice about his interest in deep learning. Dec 19, 2016 Rachel Thomas How should you structure your Data Science and Engineering teams? advice I 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… Dec 8, 2016 Rachel Thomas It used to be called big data and now it’s called deep learning technical advice At the Financial Times-Nikkei conference on The Future of AI, Robots, and Us a few weeks ago, Andreessen Horowitz partner Chris Dixon spoke just before Jeremy Howard and I… Nov 17, 2016 Rachel Thomas Additional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17 courses We 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… Oct 12, 2016 Rachel Thomas New Electricity ai-in-society advice I’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… Oct 11, 2016 Jeremy Howard The Diversity Crisis in AI, and fast.ai Diversity Fellowship ai-in-society courses Update: The deadline has been extended to 10/17. Read more here Oct 9, 2016 Rachel Thomas What We Will Cover in the First Deep Learning Certificate courses For 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… Oct 8, 2016 Jeremy Howard & Rachel Thomas Providing a Good Education in Deep Learning courses education Paul 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… Oct 8, 2016 Rachel Thomas A unique path to deep learning expertise courses If 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… Oct 8, 2016 Jeremy Howard The First Certificate in Deep Learning courses Update: The deadline has been extended to 10/17 Oct 8, 2016 Jeremy Howard Launching fast.ai ai-in-society Jeremy is the past president of Kaggle, founder of Enlitic, FastMail.FM, and Optimal Decisions Group, and is on the faculty at Singularity University. See fast.ai’s About page… Oct 7, 2016 Jeremy Howard No matching items