© fast.ai 2019. All rights reserved.

Contents

ai-in-society
courses
advice
technical

ai-in-society

Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics (04 Nov 2019)
The problem with metrics is a big problem for AI (24 Sep 2019)
8 Things You Need to Know about Surveillance (07 Aug 2019)
USF Launches New Center of Applied Data Ethics (05 Aug 2019)
Was this Google Executive deeply misinformed or lying in the New York Times? (28 May 2019)
16 Things You Can Do to Make Tech More Ethical, part 3 (03 May 2019)
16 Things You Can Do to Make Tech More Ethical, part 2 (25 Apr 2019)
16 Things You Can Do to Make Tech More Ethical, part 1 (22 Apr 2019)
A Conversation about Tech Ethics with the New York Times Chief Data Scientist (04 Mar 2019)
Dairy farming, solar panels, and diagnosing Parkinson's disease: what can you do with deep learning? (21 Feb 2019)
Some thoughts on zero-day threats in AI, and OpenAI's GPT-2 (15 Feb 2019)
Five Things That Scare Me About AI (29 Jan 2019)
AI Ethics Resources (24 Sep 2018)
What HBR Gets Wrong About Algorithms and Bias (07 Aug 2018)
What you need to know about Facebook and Ethics (19 Apr 2018)
New Opportunities For New Deep Learning Practitioners (09 Jan 2018)
When Data Science Destabilizes Democracy and Facilitates Genocide (02 Nov 2017)
Can Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective (13 Sep 2017)
Diversity Crisis in AI, 2017 edition (16 Aug 2017)
Thoughts on OpenAI, reinforcement learning, and killer robots (28 Jul 2017)
Deep Learning: Not Just for Silicon Valley (27 Feb 2017)
Where is AI/ML actually adding value at your company? (29 Dec 2016)
Andrew Ng says Deep learning is the "New Electricity"; what this means to your organization (11 Oct 2016)
The Diversity Crisis in AI, and fast.ai Diversity Fellowship (09 Oct 2016)
Launching fast.ai (07 Oct 2016)

courses

USF Launches New Center of Applied Data Ethics (05 Aug 2019)
new fast.ai course: A Code-First Introduction to Natural Language Processing (08 Jul 2019)
Deep Learning from the Foundations (28 Jun 2019)
Decrappification, DeOldification, and Super Resolution (03 May 2019)
Dairy farming, solar panels, and diagnosing Parkinson's disease: what can you do with deep learning? (21 Feb 2019)
fast.ai Diversity Fellows and Sponsors Wanted (28 Jan 2019)
Practical Deep Learning for Coders 2019 (24 Jan 2019)
The new fast.ai research datasets collection, on AWS Open Data (16 Oct 2018)
Introduction to Machine Learning for Coders: Launch (26 Sep 2018)
Practical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018 (16 Aug 2018)
Launching Cutting Edge Deep Learning for Coders: 2018 edition (07 May 2018)
Practical Deep Learning for Coders 2018 (26 Jan 2018)
International Fellowship applications for Part 2 now open (17 Jan 2018)
New Opportunities For New Deep Learning Practitioners (09 Jan 2018)
Deep Learning Diversity Fellowship Applications Now Open (02 Jan 2018)
Introducing Pytorch for fast.ai (08 Sep 2017)
International Fellowship applications for Part 1 now open (08 Sep 2017)
Sponsor a Deep Learning Diversity Scholarship (17 Aug 2017)
Announcing fast.ai diversity scholarships (15 Aug 2017)
Cutting Edge Deep Learning for Coders: Launching Deep Learning Part 2 (28 Jul 2017)
New fast.ai course: Computational Linear Algebra (17 Jul 2017)
Deep Learning: Not Just for Silicon Valley (27 Feb 2017)
Deep Learning For Coders - Full notes and transcripts now available (24 Feb 2017)
Diversity and International Fellowships for Deep Learning Part 2 (28 Jan 2017)
Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning (17 Jan 2017)
The Deep Learning MOOC is now available! (24 Dec 2016)
Additional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17 (12 Oct 2016)
The Diversity Crisis in AI, and fast.ai Diversity Fellowship (09 Oct 2016)
A unique path to deep learning expertise (08 Oct 2016)
Providing a Good Education in Deep Learning (08 Oct 2016)
What We Will Cover in the First Deep Learning Certificate (08 Oct 2016)
The First Certificate in Deep Learning (08 Oct 2016)

advice

Advice for Better Blog Posts (13 May 2019)
One year of deep learning (02 Jan 2019)
AI Ethics Resources (24 Sep 2018)
What You Need to Know Before Considering a PhD (27 Aug 2018)
A Discussion about Accessibility in AI at Stanford (10 Apr 2018)
Adding Data Science to your College Curriculum (27 Feb 2018)
Five Trends to Avoid When Founding a Startup (08 Jan 2018)
Making Peace with Personal Branding (18 Dec 2017)
What you need to do deep learning (16 Nov 2017)
Credible sources of accurate information about AI (19 Sep 2017)
Advice to Medical Experts Interested in AI (21 Aug 2017)
How to Encourage Your Child's Interest in Science and Tech (07 May 2017)
Alternatives to a Degree to Prove Yourself in Deep Learning (06 Apr 2017)
To become a data scientist, focus on coding (23 Mar 2017)
Machine learning hasn't been commoditized yet, but that doesn't mean you need a PhD (17 Mar 2017)
How to change careers and become a data scientist - one quant's experience (01 Mar 2017)
Where is AI/ML actually adding value at your company? (29 Dec 2016)
So you are interested in deep learning (19 Dec 2016)
How should you structure your Data Science and Engineering teams? (08 Dec 2016)
Please Don't Say "It used to be called big data and now it's called deep learning" (17 Nov 2016)
Andrew Ng says Deep learning is the "New Electricity"; what this means to your organization (11 Oct 2016)

technical

nbdev: use Jupyter Notebooks for everything (02 Dec 2019)
The problem with metrics is a big problem for AI (24 Sep 2019)
new fast.ai course: A Code-First Introduction to Natural Language Processing (08 Jul 2019)
A LaTeX add-in for PowerPoint - my father's day project (17 Jun 2019)
fast.ai Embracing Swift for Deep Learning (06 Mar 2019)
fastec2 script: Running and monitoring long-running tasks (15 Feb 2019)
fastec2: AWS computer management for regular folks (15 Feb 2019)
C++11, random distributions, and Swift (13 Jan 2019)
High Performance Numeric Programming with Swift: Explorations and Reflections (10 Jan 2019)
The new fast.ai research datasets collection, on AWS Open Data (16 Oct 2018)
fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices (02 Oct 2018)
Now anyone can train Imagenet in 18 minutes (10 Aug 2018)
Google's AutoML: Cutting Through the Hype (23 Jul 2018)
An Opinionated Introduction to AutoML and Neural Architecture Search (16 Jul 2018)
What do machine learning practitioners actually do? (12 Jul 2018)
AdamW and Super-convergence is now the fastest way to train neural nets (02 Jul 2018)
Training Imagenet in 3 hours for $25; and CIFAR10 for $0.26 (30 Apr 2018)
An Introduction to Deep Learning for Tabular Data (29 Apr 2018)
What you need to do deep learning (16 Nov 2017)
How (and why) to create a good validation set (13 Nov 2017)
Introducing Pytorch for fast.ai (08 Sep 2017)
Notes on state of the art techniques for language modeling (25 Aug 2017)
Big deep learning news: Google Tensorflow chooses Keras (03 Jan 2017)
(Update - problem resolved!) Azure and AWS's 'GPU general availability' lies (19 Dec 2016)
Please Don't Say "It used to be called big data and now it's called deep learning" (17 Nov 2016)