Track Dive Into Machine Learning Updates Daily

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 17, 2022

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

Mar 27, 2022

Supplement: Troubleshooting / Production, Deployment, MLOps

Mar 14, 2022

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

Mar 04, 2022

Explore another notebook / What just happened?

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

Feb 26, 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

Feb 02, 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, 2022

Deep Learning / Easier sharing of deep learning models and demos

Jan 16, 2022

Other courses / Take my tips with a grain of salt

Jan 15, 2022

Deep Learning / Easier sharing of deep learning models and demos

Jan 02, 2022

Other courses / Take my tips with a grain of salt

Deep Learning / Easier sharing of deep learning models and demos

Jan 01, 2022

Deep Learning / Easier sharing of deep learning models and demos

Dec 29, 2021

Other courses / Take my tips with a grain of salt

Dec 27, 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

Dec 23, 2021

Supplement: Troubleshooting / Risks - some starting points

Dec 18, 2021

Supplement: Troubleshooting / Risks - some starting points

Dec 02, 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 20, 2021

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)

Nov 17, 2021

Supplement: Troubleshooting / Production, Deployment, MLOps

Nov 16, 2021

Tools you'll need / Cloud-based options

Oct 20, 2021

Tools you'll need / Cloud-based options

Oct 18, 2021

Tools you'll need / Cloud-based options

Jul 18, 2017

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

Oct 19, 2016

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

Jan 13, 2016

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