Parallel and High Performance Computing 
by Robert Robey, Yuliana Zamora
Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours - or even days - of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore pr...
Price: $61.68 | Publisher: Manning | Release: 2021
Human-in-the-Loop Machine Learning 
by Robert Monarch
Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorith...
Price: $56.21 | Publisher: Manning | Release: 2021
by Alexey Grigorev
The only way to learn is to practice! In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. You'll build a portfolio of business-relevant mac...
Price: $37.49 | Publisher: Manning | Release: 2021
by Sedat Kapanoglu
Street Coder: Rules to break and how to break them is a programmer's survival guide, full of tips, tricks, and hacks that will make you a more efficient programmer. It takes the best practices you learn in a computer science class and deconstructs them to show when they're beneficial - and when they aren't!This book's rebel mindset challenges status quo thinking and exposes the important...
Price: $42.50 | Publisher: Manning | Release: 2021
by Dennis Byrne
Full Stack Python Security: Cryptography, TLS, and attack resistance teaches you everything you'll need to build secure Python web applications. As you work through the insightful code snippets and engaging examples, you'll put security standards, best practices, and more into action. Along the way, you'll get exposure to important libraries and tools in the Python ecosystem.Security is a ful...
Price: $59.99 | Publisher: Manning | Release: 2021
Racket Programming the Fun Way
by James W. Stelly
At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You'll learn a variety of coding paradigms, including iterative, object oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics - from statistical analysis to search algorithms, the Turing...
Price: $37.49 | Publisher: No Starch Press | Release: 2021
by Randall Hyde
Randall Hyde's The Art of Assembly Language has long been the go-to guide for learning assembly language. In this long-awaited follow-up, Hyde presents a 64-bit rewrite of his seminal text. It not only covers the instruction set for today's x86-64 class of processors in-depth (using MASM), but also leads you through the maze of assembly language programming and machine organization by showing you ...
Price: $59.76 | Publisher: No Starch Press | Release: 2021
by Ronald T. Kneusel
Deep learning is everywhere, making this powerful driver of AI something more STEM professionals need to know. Learning which library commands to use is one thing, but to truly understand the discipline, you need to grasp the mathematical concepts that make it tick. This book will give you a working knowledge of topics in probability, statistics, linear algebra, and differential calculus - the essential mat...
Price: $37.30 | Publisher: No Starch Press | Release: 2021
Quantum Computing with Silq Programming
by Srinjoy Ganguly, Thomas Cambier
Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq...
Price: $39.99 | Publisher: Packt Publishing | Release: 2021
FREE EBOOK - Machine Learning for Cyber Physical Systems
by Jurgen Beyerer, Alexander Maier, Oliver Niggemann
This open proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based o...
Price: $6.91 | Publisher: Springer | Release: 2021