52 Books in 52 weeks.

Here I'll be including book summaries and key takeaways from books I've committed to read and finish in 2018.

These books are organised by subject area and once finished, a summary will go up. To access these, please click the relevant Markdown files (*.md) above.

1. Good to Great - Jim Collins

2. Zero to One - Peter Thiel

3. Crossing the Chasm

4. The Mckinsey Mind

5. The Mckinsey Way

6. 10 deadly marketing sins.

7. Business Model Generation - Alexander Osterwalder and Yves Pigneur

8. Effective Negotiation - Fells R

1. Algorithms to Live By - Brian Christian & Tom Griffiths

2. Computer Science Distilled - Wladston Ferreira Filho

3. Code - Charles Petzold

4. Code Complete - Steve Mconnell

1. Automate the Boring Stuff - Al Sweigert

2. Hitchhikers guide to python - Kenneth Reitz

3. Buiild Applications with Python - The Anti-Textbook - Suraj

4. Invent with Python - Al Sweigert

5. Invent your own games with Python - Al Sweigert

6. Think Python - Adam Downey

1. Artificial Intelligence - A modern Approach - Sebastian

2. Artificial Intellgience - A new Synthesis

3. Introduction to Neural Networks - Kevin Gurney

4. Artificial Intelligence - Structures and Strategies for Complex Problem Solving

5. Introduction to Machine Learning - Ethem Alpaydin - MIT Press

6. Introduction to Machine Learning - Yahoo Labs Alex Smola and SVN Vishwanathan

7. Introduction to Machine Learning - Nils J Nillson - Stanford Robotics Laboratory

1. Artifical Intelligence - What Everyone needs to know - Jerry Kaplan

2. Artificial Intelligence - Humans need not apply - Herry Kaplan

3. Superintelligence - Nick Bostrom

4. Life 3.0 - Max Tegmark

1. Guns, Germs and Steel - Jared Diamond

2. Why Nations fail - Adam Smith

3. Winning in emerging markets

4. Manufacturing Consent - Noam Chomsky

1. 12 Rules for Life and an Antidote for Chaos - Jordan Peterson

2. The Asshole Survival Guide - Robert I Sutton

3. The Subtle art of not giving a Fuck - Mark Manson