graphing and data

Deep Learning for Finance - by Sofien Kaabar (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Root Cause Analysis - 2nd Edition by Duke Okes (Paperback)

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

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)

Efficient MySQL Performance - by Daniel Nichter (Paperback)

Getting Started with Enterprise Architecture - by Eric Jager (Paperback)

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

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

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

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

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

Supercharge Power Bi - 3rd Edition by Matt Allington (Paperback)

The Testability of Distributed Real-Time Systems - (The Springer International Engineering and Computer Science) by Werner Schütz (Hardcover)

Beginning Salesforce Developer - by Michael Wicherski (Paperback)

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

Algorithmic Realism - by Ben Green (Paperback)

Tiny Machine Learning: Design Principles and Applications - by Agbotiname Lucky Imoize & Dinh-Thuan Do & Houbing Herbert Song (Hardcover)