Contents
ai-in-society
- 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 GP2 (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
- 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
- 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
- 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)