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
Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series)
from 18 Nov 2024 to 22 Nov 2024
Archive
- LLM Engineer's Handbook by Paul Iusztin, Maxime Labonne (from 04 Nov 2024 to 08 Nov 2024)
- Build a Large Language Model (From Scratch) by Sebastian Raschka (from 17 Oct 2024 to 21 Oct 2024)
- Data Storytelling with Altair and AI by Angelica Lo Duca (from 02 Sep 2024 to 06 Sep 2024)
- AI Data Privacy and Protection by Mario Lazo, Justin Ryan (from 15 Jul 2024 to 19 Jul 2024)
- Prompt Engineering for Generative AI by Michael Taylor, James Phoenix (from 01 Jul 2024 to 05 Jul 2024)
- Fundamentals of Data Observability by Andy Petrella (from 29 Apr 2024 to 03 May 2024)
- Understanding ETL by Matt Palmer (from 15 Apr 2024 to 19 Apr 2024)
- Data-Centric Machine Learning with Python by Nakul Bajaj, Jonas Christensen, Manmohan Gosada (from 08 Apr 2024 to 12 Apr 2024)
- Creating Intelligent Products by Janna Lipenkova (from 05 Feb 2024 to 09 Feb 2024)
- Distributed Machine Learning Patterns by Yuan Tang (from 15 Jan 2024 to 19 Jan 2024)
- Analytics Engineering with SQL and DBT by Rui Machado, Hélder Russa (from 06 Nov 2023 to 10 Nov 2023)
- Driving Data Quality with Data Contracts by Andrew Jones (from 07 Aug 2023 to 11 Aug 2023)
- Hands-on Time Series Analysis with Python by Ashish Patel, Vishwas BV (from 12 Jun 2023 to 16 Jun 2023)
- Modeling Mindsets by Christoph Molnar (from 29 May 2023 to 02 Jun 2023)
- GPT-3 by Sandra Kublik, Shubham Saboo (from 06 Mar 2023 to 10 Mar 2023)
- Snowflake: The Definitive Guide by Joyce Kay Avila (from 23 Jan 2023 to 27 Jan 2023)
- Reliable Machine Learning by Todd Underwood, Kranti K. Parisa, Cathy Chen, Niall Murphy (from 05 Dec 2022 to 09 Dec 2022)
- Machine Learning on Kubernetes by Ross Brigoli, Faisal Masood (from 07 Nov 2022 to 11 Nov 2022)
- Comet for Data Science by Angelica Lo Duca (from 24 Oct 2022 to 28 Oct 2022)
- Managing Machine Learning Projects by Simon Thompson (from 10 Oct 2022 to 14 Oct 2022)
- Graph Algorithms for Data Science by Tomaz Bratanic (from 26 Sep 2022 to 30 Sep 2022)
- The Kaggle Book by Luca Massaron, Konrad Banachewicz (from 19 Sep 2022 to 23 Sep 2022)
- Skills of a Successful Software Engineer by Fernando Doglio (from 12 Sep 2022 to 16 Sep 2022)
- Essential Math for Data Science by Thomas Nield (from 29 Aug 2022 to 02 Sep 2022)
- Fundamentals of Data Engineering by Joe Reis, Matthew Housley (from 15 Aug 2022 to 19 Aug 2022)
- Data Analytics Initiatives by Ondřej Kubera, David Bednar, Ondřej Bothe, Martin Potančok (from 01 Aug 2022 to 05 Aug 2022)
- Hands-On Data Analysis with Pandas - Second Edition by Stefanie Molin (from 18 Jul 2022 to 22 Jul 2022)
- Grokking Streaming Systems by Josh Fischer, Ning Wang (from 04 Jul 2022 to 08 Jul 2022)
- Designing Machine Learning Systems by Chip Huyen (from 27 Jun 2022 to 01 Jul 2022)
- Python Machine Learning By Example by Hayden Liu (from 20 Jun 2022 to 24 Jun 2022)
- AI-Powered Business Intelligence by Tobias Zwingmann (from 06 Jun 2022 to 10 Jun 2022)
- Practical Fairness by Nielsen Aileen (from 23 May 2022 to 27 May 2022)
- Everyday ML Questions by Santiago Valdarrama, Vladimir Haltakov (from 16 May 2022 to 20 May 2022)
- Artificial Intelligence with Python by Prateek Joshi (from 09 May 2022 to 13 May 2022)
- Natural Language Processing with Transformers by Leandro von Werra, Lewis Tunstall, Thomas Wolf (from 25 Apr 2022 to 29 Apr 2022)
- Interpretable Machine Learning by Christoph Molnar (from 11 Apr 2022 to 15 Apr 2022)
- Serverless Analytics with Amazon Athena by Anthony Virtuoso (from 28 Mar 2022 to 01 Apr 2022)
- Data Engineering with Apache Spark, Delta Lake, and Lakehouse by Manoj Kukreja (from 14 Mar 2022 to 18 Mar 2022)
- Hands-On Data Preprocessing in Python by Roy Jafari (from 28 Feb 2022 to 04 Mar 2022)
- A Visual Introduction to Deep Learning by Meor Amer (from 14 Feb 2022 to 18 Feb 2022)
- Effective Pandas by Matt Harrison (from 31 Jan 2022 to 04 Feb 2022)
- Machine Learning Engineering with Python by Andrew McMahon (from 10 Jan 2022 to 21 Jan 2022)
- Mastering spaCy by Duygu Altinok (from 13 Dec 2021 to 17 Dec 2021)
- Deep Learning with fastai Cookbook by Mark Ryan (from 06 Dec 2021 to 10 Dec 2021)
- Own Your Tech Career by Don Jones (from 29 Nov 2021 to 03 Dec 2021)
- Building Machine Learning Powered Applications by Emmanuel Ameisen (from 22 Nov 2021 to 26 Nov 2021)
- Ace The Data Science Interview by Kevin Huo, Nick Singh (from 15 Nov 2021 to 19 Nov 2021)
- Generative AI with Python and TensorFlow 2 by Joseph Babcock, Raghav Bali (from 08 Nov 2021 to 12 Nov 2021)
- AI-Powered Search by Trey Grainger, Doug Turnbull, Max Irwin (from 01 Nov 2021 to 05 Nov 2021)
- Data Analysis with Python and PySpark by Jonathan Rioux (from 25 Oct 2021 to 29 Oct 2021)
- 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)