Model-Based ML book

Announcements about our model-based machine learning book

[Model-Based ML book @mbmlbook]

The book is now available to order! You can get it from: https://t.co/JrMvIxRxcL

[Model-Based ML book @mbmlbook]

If you want a print copy, the book is currently 25% off…

https://t.co/JrMvIxS52j

[Model-Based ML book @mbmlbook]

The book is now available to order! You can get it from: https://t.co/JrMvIxRxcL

[Model-Based ML book @mbmlbook]

@SubinAlex9 @johnmwinn @tommy_da_cat We did aim to be suitable for beginners and introduce all concepts needed - have a read of this introductory chapter and see for yourself: https://t.co/8INya89Caq

[John Winn @johnmwinn]

My new book Model-Based Machine Learning with Chris Bishop, Tom Diethe @tommy_da_cat, John Guiver and Yordan Zaykov is now available.

Huge thanks to everyone who helped put the book together!

Order from https://t.co/QrtGyuYfHQ

#MachineLearning #newbook

[Model-Based ML book @mbmlbook]

So many readers of the online book have given feedback, corrected typos and generally been hugely encouraging and positive. I've tried to thank as many of you as possible in the acknowledgements.
I hope you will see this tweet and know that your input made a huge difference!

[Model-Based ML book @mbmlbook]

And here’s what it looks like as an actual real world book!

[Model-Based ML book @mbmlbook]

It's been a long time coming, but I'm very excited to share that our Model-Based Machine Learning book will be available soon in printed form.

[John Winn @johnmwinn]

Let’s take a quick look back at all the highs of 2020:
1/1

[Model-Based ML book @mbmlbook]

Hear, hear!

[Nate Silver @NateSilver538]

Statistical models are mathematical representations of the real world. So if you lose sight of either the real world *or what the math you're applying is actually doing*, your model will be prone to failure.

[Model-Based ML book @mbmlbook]

At long last, the final chapter of the book is here - 'How to Read a Model' - diving into the assumptions, strengths and weaknesses of four common ML models.

Please take a look and send feedback! https://t.co/FGjHbuNOCY

[Nate Silver @NateSilver538]

A few times a year, I get asked to be a judge of student statistical projects in politics or sports. While the students are very bright, they spend WAY too much time using fancy statistical methods and not enough time framing the right questions and contextualizing their answers.

[Model-Based ML book @mbmlbook]

@roydanroy @hardmaru I feel like I’ve got a book about that somewhere... https://t.co/hY0PjNgDLb

[Gergely Neu @neu_rips]

"Model-based vs. model-free" is possibly the worst red herring in all of machine learning. *All* of RL is model based due to assuming an MDP structure and using the Bellman equations. 1/3

[Model-Based ML book @mbmlbook]

Thanks for the kind words!!

[Yarin @yaringal]

@ESA_EO Other brilliant introductory material for the general public (about the "valley of right enough" and the probabilistic view of ML) is a book written by @ChrisBishopMSFT @johnmwinn and others, with the first chapter titled "A Murder Mystery"
https://t.co/dv5yQKCehC

[Model-Based ML book @mbmlbook]

Ideas we have so far: decision trees, latent Dirichlet allocation, PCA & ICA...

[Model-Based ML book @mbmlbook]

In our final chapter, “How to read a Model”, we’ll look at existing ML models to see what assumptions they make, when they can be applied and how they can be extended. We’re looking for suggestions of models to look at - if you have ideas, please tweet them to us!!

[Model-Based ML book @mbmlbook]

We recommend the code for Chapter 5 of our book - how to build a movie recommender! https://t.co/oqcaj20sKl

[Andrew Fitzgibbon @Awfidius]

Delighted to announce that I'm now leading the "All Data AI (ADA)" theme at Microsoft Research Cambridge.
If you love turning ideas into reality, check out our jobs postings https://t.co/plEJOY8tTn

[Model-Based ML book @mbmlbook]

Learn how to declutter your inbox with the code for Chapter 4 of the book, now on github: https://t.co/XSk5MnIvqd

[John Winn @johnmwinn]

Very excited that our work on automatic knowledge base construction has been awarded Best Research Paper at #AKBC2019!!!