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Modern Data Mining Algorithms in C++ and Cuda C - by Timothy Masters (Paperback)

The Developer's Field Guide to Modern Software Engineering - by Nico Loubser (Paperback)

Pro Machine Learning Algorithms - by V Kishore Ayyadevara (Paperback)

The Azure Data Lakehouse Toolkit - by Ron L'Esteve (Paperback)

Introduction to Computational Thinking - by Thomas Mailund (Paperback)

Beginning Salesforce Developer - by Michael Wicherski (Paperback)

Evolutionary Computation for Modeling and Optimization - by Daniel Ashlock (Hardcover)

Fundamentals of Data Base Systems - (MacMillan Computer Science) by S M Deen (Paperback)

Introduction to Sparxsystems Enterprise Architect - by Peter Doomen (Paperback)

Complex Enterprise Architecture - by John D McDowall (Paperback)

Beginning Salesforce DX - by Ivan Harris (Paperback)

Python 3 - (De Gruyter Studium) by Steffan Kaminski (Paperback)

Introduction to Python in Earth Science Data Analysis - (Springer Textbooks in Earth Sciences, Geography and Environm) by Maurizio Petrelli

Natural Language Processing Projects - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni (Paperback)

ISPF Programmer's Guide - by Franz Lanz (Paperback)

Football Analytics with Python & R - by Eric A Eager & Richard a Erickson (Paperback)

Design of Mechanical Elements - by Bart Raeymaekers (Hardcover)

Organic Structures from Spectra - 6th Edition by L D Field & H L Li & A M Magill (Paperback)

Data Teams - by Jesse Anderson (Paperback)

Data Migration Management for SAP S/4hana - by Aleksei Arziaev (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

C Programming for Dummies - 2nd Edition by Dan Gookin (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)