communicating data

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

Delta Lake: Up and Running - by Bennie Haelen & Dan Davis (Paperback)

Database Internals - by Alex Petrov (Paperback)

Introducing MLOps - (Paperback)

Efficient MySQL Performance - by Daniel Nichter (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

Apache Iceberg: The Definitive Guide - by Tomer Shiran & Jason Hughes & Alex Merced (Paperback)

Hands-On Rag for Production - by Ofer Mendelevitch & Forrest Sheng Bao (Paperback)

Learning AI Tools in Tableau - by Ann Jackson (Paperback)

Scaling Python with Dask - by Holden Karau & Mika Kimmins (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

SQL Server Advanced Troubleshooting and Performance Tuning - by Dmitri Korotkevitch (Paperback)

Learning Tensorflow.Js - by Gant Laborde (Paperback)

Neo4j: The Definitive Guide - by Luanne Misquitta & Christophe Willemsen (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Duckdb: Up and Running - by Wei-Meng Lee (Paperback)

Advanced Analytics with Pyspark - by Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills (Paperback)

High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

Natural Language Processing with Transformers, Revised Edition - by Lewis Tunstall & Leandro Von Werra & Thomas Wolf (Paperback)

Google Bigquery: The Definitive Guide - by Valliappa Lakshmanan & Jordan Tigani (Paperback)

Tidy Modeling with R - by Max Kuhn & Julia Silge (Paperback)

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

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Building Recommendation Systems in Python and Jax - by Bryan Bischof Ph D & Hector Yee (Paperback)