Track Dive Into Machine Learning Updates Weekly

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

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[ Daily / Weekly / Overview ]

Jun 13 - Jun 19, 2022

Supplement: Troubleshooting / Easier sharing of deep learning models and demos

Mar 21 - Mar 27, 2022

Supplement: Troubleshooting / Production, Deployment, MLOps

Mar 14 - Mar 20, 2022

More ways to "Dive into Machine Learning" / Aside: Bayesian Statistics and Machine Learning

Feb 28 - Mar 06, 2022

Explore another notebook / What just happened?

Prof. Andrew Ng's Machine Learning on Coursera / Tips for this course

Feb 21 - Feb 27, 2022

Getting Help: Questions, Answers, Chats / Some communities to know about!

Deep Learning / Easier sharing of deep learning models and demos

Skilling up / Machine Learning and User Experience (UX)

More ways to "Dive into Machine Learning" / Aside: Bayesian Statistics and Machine Learning

Jan 31 - Feb 06, 2022

Supplement: Learning Pandas well / Some communities to know about!

Supplement: Troubleshooting / Some communities to know about!

Deep Learning / Easier sharing of deep learning models and demos

More Data Science materials / Machine Learning and User Experience (UX)

Jan 17 - Jan 23, 2022

Deep Learning / Easier sharing of deep learning models and demos

Jan 10 - Jan 16, 2022

Other courses / Take my tips with a grain of salt

Deep Learning / Easier sharing of deep learning models and demos

Dec 27 - Jan 02, 2021

Prof. Andrew Ng's Machine Learning on Coursera / Tips for this course

Prof. Andrew Ng's Machine Learning on Coursera / Tips for studying on a busy schedule

Other courses / Take my tips with a grain of salt

Deep Learning / Easier sharing of deep learning models and demos

Dec 20 - Dec 26, 2021

Supplement: Troubleshooting / Risks - some starting points

Dec 13 - Dec 19, 2021

Supplement: Troubleshooting / Risks - some starting points

Nov 29 - Dec 05, 2021

Tools you'll need / If you prefer local installation

Other courses / Take my tips with a grain of salt

Supplement: Learning Pandas well / Some communities to know about!

Supplement: Troubleshooting / Risks - some starting points

More Data Science materials / Aside: Bayesian Statistics and Machine Learning

Nov 15 - Nov 21, 2021

Tools you'll need / Cloud-based options

Explore another notebook / What just happened?

Other courses / Take my tips with a grain of salt

Supplement: Learning Pandas well / Some communities to know about!

Supplement: Troubleshooting / Production, Deployment, MLOps

More Data Science materials / Machine Learning and User Experience (UX)

Oct 18 - Oct 24, 2021

Tools you'll need / Cloud-based options

Jul 17 - Jul 23, 2017

Supplement: Learning Pandas well / Some communities to know about!

Oct 17 - Oct 23, 2016

Supplement: Learning Pandas well / Some communities to know about!

Jan 11 - Jan 17, 2016

Supplement: Learning Pandas well / Some communities to know about!