HackerNews Readings
40,000 HackerNews book recommendations identified using NLP and deep learning

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Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond

Chris Burniske and Jack Tatar

4.6 on Amazon

3 HN comments

Fate: Return to Avalon: Takeuchi Takashi Art Works

Type-Moon and Takeuchi Takashi

? on Amazon

3 HN comments

Mastering Ethereum: Building Smart Contracts and DApps

Andreas M. Antonopoulos and Gavin Wood Ph. D.

4.6 on Amazon

3 HN comments

Fundamentals of Software Architecture: An Engineering Approach

Mark Richards, Neal Ford, et al.

4.6 on Amazon

3 HN comments

Algorithms of Oppression: How Search Engines Reinforce Racism

Safiya Umoja Noble

4.7 on Amazon

3 HN comments

Storytelling with Data: Let's Practice!

Cole Nussbaumer Knaflic

4.6 on Amazon

3 HN comments

Introduction to Machine Learning with Python: A Guide for Data Scientists

Andreas C. Müller and Sarah Guido

4.5 on Amazon

3 HN comments

Think Like a Programmer: An Introduction to Creative Problem Solving

V. Anton Spraul

4.7 on Amazon

3 HN comments

Logo Design Love: A Guide to Creating Iconic Brand Identities, 2nd Edition

David Airey

4.7 on Amazon

3 HN comments

Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8, 3rd Edition

Dusty Phillips

4.4 on Amazon

3 HN comments

Threat Modeling: Designing for Security

Adam Shostack

4.5 on Amazon

3 HN comments

Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries

Jim Frost

4.3 on Amazon

3 HN comments

Ansible for DevOps: Server and configuration management for humans

Jeff Geerling

4.6 on Amazon

3 HN comments

Technology Strategy Patterns: Architecture as Strategy

Eben Hewitt

4.3 on Amazon

3 HN comments

Making Embedded Systems: Design Patterns for Great Software

Elecia White

4.6 on Amazon

3 HN comments

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vqconAug 29, 2017

I found

  Introduction to Machine Learning with Python - A Guide for Data Scientists (Andreas C. Müller, Sarah Guido, 2016)

to be a good introduction to using and tuning these algos.

hootguyonJuly 17, 2015

O'Reilly's publishing Introduction to Machine Learning with Python by Sarah Guido and Andreas Mueller in January 2016.

http://shop.oreilly.com/product/0636920030515.do

a_bonoboonNov 11, 2016

There's also o'reilly's 'Introduction to Machine Learning with Python', which is very much about scikit-learn

http://shop.oreilly.com/product/0636920030515.do

Just came out a few weeks ago so it's relatively unknown, I've read the first few chapters and so far it's good! The first author Andreas Mueller is one of the scikit core devs.

The Jupyter notebooks including the book's code are on GitHub: https://github.com/amueller/introduction_to_ml_with_python

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