Book of the Week
Each week we have a book author coming to DataTalks.Club to answer your questions about their book and, in general, about the topic of their book.
- Register on DataTalks.Club
- Join the
#book-of-the-weekchannel in our Slack - Ask as many questions as you’d like
- The book authors answer questions from Monday till Thursday
- On Friday, the authors decide who wins free copies of their book
Upcoming books
Archive
- Blueprints for Text Analytics Using Python by Jens Albrecht, Sidharth Ramachandran, Christian Winkler (from 18 Oct 2021 to 22 Oct 2021)
- Mastering Transformers by Savaş Yıldırım, Meysam Asgari-Chenaghlu (from 11 Oct 2021 to 15 Oct 2021)
- Transfer Learning in Action by Dipanjan Sarkar, Raghav Bali (from 04 Oct 2021 to 08 Oct 2021)
- Effective Data Science Infrastructure by Ville Tuulos (from 27 Sep 2021 to 01 Oct 2021)
- Python Feature Engineering Cookbook by Soledad Galli (from 20 Sep 2021 to 24 Sep 2021)
- DataOps for Dummies by Justin Mullen, Guy Adams (from 13 Sep 2021 to 17 Sep 2021)
- Software Mistakes and Tradeoffs by Tomasz Lelek, Jon Skeet (from 06 Sep 2021 to 10 Sep 2021)
- Practical MLOps by Noah Gift, Alfredo Deza (from 30 Aug 2021 to 03 Sep 2021)
- Business Skills for Data Scientists by David Stephenson (from 23 Aug 2021 to 27 Aug 2021)
- Tuning Up by David Sweet (from 16 Aug 2021 to 20 Aug 2021)
- Grokking Machine Learning by Luis Serrano (from 09 Aug 2021 to 13 Aug 2021)
- Practical Recommender Systems by Kim Falk (from 02 Aug 2021 to 06 Aug 2021)
- Applied Natural Language Processing in the Enterprise by Ankur A. Patel, Ajay Uppili Arasanipalai (from 26 Jul 2021 to 30 Jul 2021)
- Interpretable Machine Learning with Python by Serg Masis (from 19 Jul 2021 to 23 Jul 2021)
- Relevant Search by Doug Turnbull, John Berryman (from 12 Jul 2021 to 16 Jul 2021)
- Engineering MLOps by Emmanuel Raj (from 05 Jul 2021 to 09 Jul 2021)
- Data Science on AWS by Chris Fregly, Antje Barth (from 28 Jun 2021 to 02 Jul 2021)
- Cleaning Data for Effective Data Science by David Mertz (from 21 Jun 2021 to 25 Jun 2021)
- Graph Databases in Action by Dave Bechberger, Josh Perryman (from 14 Jun 2021 to 18 Jun 2021)
- Building Machine Learning Pipelines by Hannes Hapke, Catherine Nelson (from 07 Jun 2021 to 11 Jun 2021)
- Advanced Algorithms and Data Structures by Marcello La Rocca (from 31 May 2021 to 04 Jun 2021)
- Data Governance: The Definitive Guide by Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown (from 24 May 2021 to 28 May 2021)
- Grokking Deep Reinforcement Learning by Miguel Morales (from 17 May 2021 to 21 May 2021)
- The Coding Career Handbook by Shawn Swyx Wang (from 10 May 2021 to 14 May 2021)
- Machine Learning Using TensorFlow Cookbook by Alexia Audevart, Konrad Banachewicz, Luca Massaron (from 03 May 2021 to 07 May 2021)
- Tiny Python Projects by Ken Youens-Clark (from 26 Apr 2021 to 30 Apr 2021)
- Transformers for Natural Language Processing by Denis Rothman (from 19 Apr 2021 to 23 Apr 2021)
- AI and Machine Learning for Coders by Laurence Moroney (from 12 Apr 2021 to 16 Apr 2021)
- The Practitioner's Guide to Graph Data by Denise Gosnell (from 05 Apr 2021 to 09 Apr 2021)
- Learning Tensorflow.js by Gant Laborde (from 29 Mar 2021 to 02 Apr 2021)
- Street Coder by Sedat Kapanoglu (from 22 Mar 2021 to 26 Mar 2021)
- Database Internals by Alex Petrov (from 15 Mar 2021 to 19 Mar 2021)
- Designing Data-Intensive Applications by Martin Kleppmann (from 08 Mar 2021 to 12 Mar 2021)
- Machine Learning Engineering in Action by Ben Wilson (from 01 Mar 2021 to 05 Mar 2021)
- Machine Learning for Algorithmic Trading by Stefan Jansen (from 22 Feb 2021 to 26 Feb 2021)
- Math for Programmers by Paul Orland (from 15 Feb 2021 to 19 Feb 2021)
- Machine Learning Design Patterns by Valliappa Lakshmanan, Sara Robinson, Michael Munn (from 08 Feb 2021 to 12 Feb 2021)
- Data Teams by Jesse Anderson (from 01 Feb 2021 to 05 Feb 2021)
- Mastering Machine Learning Algorithms - Second Edition by Giuseppe Bonaccorso (from 25 Jan 2021 to 29 Jan 2021)
- Deep Learning with Structured Data by Mark Ryan (from 18 Jan 2021 to 22 Jan 2021)
- Reinforcement Learning by Phil Winder (from 11 Jan 2021 to 15 Jan 2021)
- Machine Learning Bookcamp by Alexey Grigorev (from 14 Dec 2020 to 18 Dec 2020)