book on data science

Thoughtful Data - (Paperback)

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

Data Visualization with Excel Dashboards and Reports - by Dick Kusleika (Paperback)

Basic Statistics for Life Scientists - by Jakub Tomek (Hardcover)

Branch-And-Price - by Jacques Desrosiers & Marco Lübbecke & Guy Desaulniers & Jean Bertrand Gauthier (Hardcover)

Artificial Intelligence and Brain Research - by Patrick Krauss (Paperback)

Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)

The Well-Grounded Data Analyst - by David Asboth (Paperback)

Developing Data Migrations and Integrations with Salesforce - by David Masri (Paperback)

Deep Learning Architectures - (Springer the Data Sciences) by Ovidiu Calin (Paperback)

Introduction to Data Mining - by Camila Thompson (Hardcover)

Uncertainty Modeling for Data Mining - (Advanced Topics in Science and Technology in China) by Zengchang Qin & Yongchuan Tang (Hardcover)

It Savvy - by Peter Weill & Jeanne W Ross (Hardcover)

The Feel of Algorithms - by Minna Ruckenstein (Paperback)

Data Engineering with Databricks Cookbook - by Pulkit Chadha (Paperback)

Network Security Through Data Analysis - 2nd Edition by Michael Collins (Paperback)

What Are the Challenges of Developing Ai? - (The Science of AI) by Traci Pedersen (Hardcover)

Hands-On Data Visualization - by Jack Dougherty & Ilya Ilyankou (Paperback)

Unlocking Data with Generative AI and RAG - by Keith Bourne (Paperback)

The Essential Book of Useless Information - by Don Voorhees (Paperback)

R All-In-One for Dummies - by Joseph Schmuller (Paperback)

Data Pipelines Pocket Reference - by James Densmore (Paperback)

Discrete Mathematics and Graph Theory - (Undergraduate Topics in Computer Science) by K Erciyes (Paperback)

The Enterprise Data Catalog - by Ole Olesen-Bagneux (Paperback)