top big data blogs

Grokking Deep Learning - by Andrew Trask (Paperback)

Data by Design - by Lauren F Klein (Hardcover)

Google Data Studio for Beginners - by Grant Kemp & Gerry White (Paperback)

Build AI Drug Discovery Pipelines - by Noah Flynn (Paperback)

Vector Databases - by Nitin Borwankar (Paperback)

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Text Mining with R - by Julia Silge & David Robinson (Paperback)

Beyond Inheritance - by Roxanne Khamsi (Hardcover)

Jaws Hardcover Journal - by Insight Editions

Elements of Data Science - by Allen B Downey (Paperback)

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

Communicating with Data - by Carl Allchin (Paperback)

Data-Oriented Programming in Java - by Chris Kiehl (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Emergence - by Bob Burgin (Hardcover)

Retrieval Augmented Generation, the Foundational Ideas - by Ben Auffarth (Paperback)

The Universe in Thirteen Graphs - by Chris Lintott & Jeffrey Grube & Daina Bouquin (Hardcover)

The Seven Rules of Trust - by Jimmy Wales (Hardcover)

Computers with Salaries and Cemeteries - by Frederik F Flöther & Maria Fay & Christian Hugo Hoffmann (Paperback)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)

Exploring the Power of ChatGPT - by Eric Sarrion (Paperback)

TCP / IP for Dummies - (For Dummies) 6th Edition by Candace Leiden & Marshall Wilensky (Paperback)