Machine learning for engineers
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Machine Learning for Engineers
All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now em
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Machine Learning for Engineers
Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-w
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Machine Learning for Engineers
All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now em
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Applied Machine Learning and AI for Engineers
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers an
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Kubeflow for Machine Learning
This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models sca
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Precision Machine Design
Offers a comprehensive engineering exploration of all the aspects of precision machine design-both component and system design considerations for prec
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Practical Machine Learning for Computer Vision
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn ho
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Machine Learning
This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suit
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Machine Learning
Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures,
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Mathematics for Machine Technology
Reflecting the technology and tools of the trade, this book provides the mathematical skills and practice that students and apprentices can use on the
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Machine Learning for Managers
This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works,
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Machine Learning for Managers
This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works,
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Machine Learning For Kids
A hands-on, child-friendly, application-based introduction to machine learning and artificial intelligence (AI) using the Scratch programming language
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Mathematics for Machine Learning
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum o
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Mathematics for Machine Learning
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum o
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Machine Learning for Hackers
Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within t
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Transformers for Machine Learning
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition,
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Machine Learning for Financial Risk Management with Python
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers,
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Machine Learning for Signal Processing
Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two
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Machine Learning for Business Analytics
Machine Learning is an integral tool in a business analystÂ’s arsenal because the rate at which data is being generated from different sources is incr
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Practical Simulations for Machine Learning
With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforce
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Feature Engineering for Machine Learning
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youÂ’l
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Machine Learning for Signal Processing
Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the mos
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Machine Learning for Asset Managers
The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is n
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Civil Engineering Body of Knowledge
Outlines 21 foundational, technical, and professional practice learning outcomes for individuals entering the professional practice of civil engineeri
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Practical Machine Learning for Computer Vision, End-to-End Machine Learning for Images O'Reilly Media
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques....
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Effective Machine Learning Teams
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a prac
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Managing Machine Learning Projects
For anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive
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Machine Learning Fundamentals
This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers wi
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Machine Learning for Criminology and Crime Research
Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, and resea
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Guide to Applied Machine Learning for Biologists
This textbook is an introductory guide to applied machine learning, specifically for biology students.
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Machine Learning for the Physical Sciences
This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those f
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Machine Learning Toolbox for Social Scientists
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. Th
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Intelligent Systems and Machine Learning for Industry
The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. I
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Machine Learning for High-Risk Applications
This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on b
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Probabilistic Machine Learning for Finance and Investing
By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical fra
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Python for Probability, Statistics, and Machine Learning
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machi
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AI and Machine Learning For Coders
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely succ
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Machine Learning for Factor Investing: R Version
The aim of the book is to give an interpretation of ML tools through the lens of factor investing. Concepts illustrated with examples on the same (pub
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Data Science and Machine Learning
The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone inter
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Data Mining and Machine Learning
This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in ex
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Bayesian Reasoning and Machine Learning
This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calcul
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