Substack Explorermachine learning newsletters

Best machine learning Newsletters

24 machine learning newsletters on Substack, ranked by subscriber count. Find expert voices, compare audiences, and discover what's worth reading.

1

by Tivadar Danka

mathematics ∪ machine learning

2

by Pau Labarta Bajo

AI engineering wout BS

3

by David Andrés

Weekly pill-sized articles on key AI, Machine Learning and Data Science concepts.

4

by Sam DeBrule

Machine Learning, AI, Facial Recognition and more!

5

by Logan Thorneloe

Equipping software engineers for the AI era. Insights and technical depth spanning the full AI stack.

6

by Ludovico Bessi

Machine learning systems in the real world.

7

by Dr. Derek Snow

Links on Quantitative Topics (1-weekly)

8

by Alejandro Saucedo

Join over 15,000 ML professionals and enthusiasts who receive weekly curated articles & tutorials on production Machine Learning. Obtain insights on real-world ML best practice encompassing key areas in Model Monitoring, MLOps, DataOps, AIOps + beyond 🚀

9

by Justin Hodges, PhD

Read what I read, code what I code. I share lots of papers/code for topics in artificial intelligence/machine learning applied to engineering (CFD, FEA, numerical methods, aerodynamics, turbulence modeling, & more). I will publish enough to keep you busy.

10

by Frank Zickert, PhD

You're interested in quantum computing and machine learning? But you don't know how to get started? Let me help!

11

by BowTied_Raptor

By Data Professionals, for Data Professionals. This is your centralized Website that has all of your data professional needs: We cover: - Money Making Guides - Job Searching - Technical Skills (R, Python, SQL, MLOps, etc...) - Industry Knowledge

12

by Samuel Flender

Real-life lessons on ML theory, practice, and careers from a seasoned ML engineer. This is the stuff you won't learn in "standard" ML curricula.

13

by Laszlo Sragner

Deliberate Machine Learning: Machine Learning Product Management & How to write better code as a DS?

14

by Massimiliano Viola

Weekly insights into machine learning research, focusing on computer vision and generative models.

15

by Susan Shu Chang

Guide to your ML career, from a 2-time Principal data scientist and author of Machine Learning Interviews (O’Reilly). Subscribe to get bonus content that didn't make it into the book.

16

by Sarah Gebauer, MD

Crucial Concepts in Healthcare AI

17

by Priyanka Nath

We help to discover and learn rare Machine learning insights in a simple and engaging way so you can impress your boss.

18

by Ameer Saleem

I write about how machine learning algorithms work, so that aspiring data scientists can learn how to build AI models that they understand.

19

by Bee

Thoughts on machine learning, programming and finance

20

by Vishal R

The different sides of Machine Learning.

21

by Arun Subramanian

A deep dive into the world of data science, machine learning, marketing science and causal inference. Explore the intersection of theory and practice, with a focus on real-world applications and Python-based implementations.

22

by Machine Learning Zuu

Accelerating Change with LLMs | Build & Film Zuu Crew - Sri Lanka's First Machine Learning Academy

23

by meghna rao

the b sides

24

by Ben Lorica 罗瑞卡

Put data, machine learning, and AI to work.

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