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Bayesian Optimization in Action
by Quan Nguyen
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Data Science For Dummies
by Lillian Pierson
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Bandit Algorithms
by Tor Lattimore (University of Alberta)
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Basic Proof Theory
by A. S. Troelstra (Universiteit van Amsterdam)
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Classical and Quantum Computation
by A. Yu. Kitaev
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UI is Communication
by Everett N McKay (is principal of UX Design Edge, a user experience design training and consulting firm specializing in helping non-designers, based in St. Albans, Vermont.)
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Mastering Machine Learning with scikit-learn -
by Gavin Hackeling
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Computability and Unsolvability
by Martin Davis
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Adobe After Effects CC Classroom in a Book (2018 release)
by Lisa Fridsma
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Software Testing
by Srinivasan Desikan
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Quantum Computing in Practice with Qiskit (R) and IBM Quantum Experience (R)
by Hassi Norlen
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Deep Thinking
by Garry Kasparov
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Neuronal Dynamics
by Wulfram Gerstner (Ecole Polytechnique Federale de Lausanne)
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Scaling Machine Learning with Spark
by Adi Polak
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The VR Book
by Jason Jerald
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Invitation to Computer Science
by Judith Gersting (Indiana University-Purdue University at Indianapolis)
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Parallel and High Performance Programming with Python
by Fabio Nelli
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Data-Driven Science and Engineering
by Steven L. Brunton (University of Washington)
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Implementing Enterprise Observability for Success
by Manisha Agrawal
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Getting Started with Onshape
by Elise Moss
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Terraform - Up and Running
by Yevgeniy Brikman
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Code Dependent
by Madhumita Murgia
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The Essentials of Computer Organization and Architecture
by Linda Null
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Schaum's Outline of Computer Architecture
by Nick Carter
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Management Information Systems
by R. Kelly Rainer (Auburn University)
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Experimentation for Engineers
by David Sweet
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Writing Effective User Stories
by Angela Hathaway
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Process Color Manual
by Michael Rogondino
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Building Machine Learning Pipelines
by Hannes Hapke
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Designing Software Architectures
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Artificial Intelligence
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Augmented Reality
by Dieter Schmalstieg
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Assembly Language Step-by-Step
by Jeff Duntemann
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SystemC: From the Ground Up, Second Edition
by David C. Black
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High Performance Computing
by Kevin Dowd
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Hands-On Web Scraping with Python
by Anish Chapagain
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Deep Generative Modeling
by Jakub M. Tomczak
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Computer Vision
by David A. Forsyth
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An Introduction to Usability
by Patrick W. Jordan
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Skew-Tolerant Circuit Design
by David Harris (Associate Professor of Engineering, Harvey Mudd College, Claremont, CA, USA)
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Pandas Cookbook
by Theodore Petrou
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Microsound
by Curtis Roads (University of California at Santa Barbara)
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AI Crash Course
by Hadelin de Ponteves
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Spark in Action, Second Edition
by Jean-Georges Perrin
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An Introduction to Automata Theory, Languages, and Computation
by John E. Hopcroft
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Introduction to Digital Signal Processing
by Dick Blandford
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Information Systems for Business
by France Belanger, PhD
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Numsense! Data Science for the Layman
by Kenneth Soo
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