Machine learning with tensorflow
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Beginning Deep Learning with TensorFlow
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow
Více informacíLearning Tensorflow.js
In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js
Více informacíHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e
This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help yo
Více informacíMachine Learning with oneAPI
Intel OneAPI is a unified programming model and software development kit (SDK) that empowers developers to generate high performance applications that
Více informacíMachine Learning
This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical fou
Více informacíMachine Learning
This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suit
Více informacíMachine 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,
Více informacíHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e, Concepts, Tools, and Techniques to Build Intelligent Systems O'Reilly Media
This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems....
Více informacíMachine Learning with Neural Networks
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundam
Více informacíMachine Learning with Python Cookbook
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.
Více informacíScaling Machine Learning with Spark
With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You
Více informacíMachine 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
Více informacíUnderstanding Machine Learning
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the
Více informacíMathematics 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
Více informacíMathematics 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
Více informacíMachine Learning Pocket Reference
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison
Více informacíKubeflow 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
Více informacíEffective 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
Více informacíPracticing Trustworthy Machine Learning
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models
Více informacíSignal Processing and Machine Learning with Applications
Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligenc
Více informacíBehavior Analysis with Machine Learning Using R
This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on
Více informacíIntroduction to Machine Learning with Python
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies
Více informacíIntroduction to Machine Learning with R
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will hel
Více informacíLinear Algebra With Machine Learning and Data
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study app
Více informacíHands-On Machine Learning with R
This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R pro
Více informacíPractical 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
Více informacíFeature 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
Více informacíMachine Learning in Asset Pricing
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an a
Více informacíMachine Learning Taylor & Francis Ltd
This book starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A com...
Více informacíCultural Life of Machine Learning
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and i
Více informacíIntroduction to Machine Learning with Applications in Information Security
This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information
Více informacíMachine 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,
Více informacíGraph-Powered Analytics and Machine Learning with TigerGraph
This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGrap
Více informacíLinear Algebra With Machine Learning and Data Taylor & Francis Ltd
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and t...
Více informacíMachine 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
Více informacíHands-On Introduction to Machine Learning
Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy
Více informacíMachine 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
Více informacíPhytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques Taylor & Francis Ltd
Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies....
Více informacíIntroduction to IoT with Machine Learning and Image Processing using Raspberry Pi
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step
Více informacíIntroduction to IoT with Machine Learning and Image Processing using Raspberry Pi
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step
Více informacíStatistics and Machine Learning Methods for EHR Data
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and
Více informacíStatistics and Machine Learning Methods for EHR Data
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and
Více informacíExam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine
Více informacíIntroduction to Intelligent Systems, Control, and Machine Learning using MATLAB
Dive into intelligent systems, machine learning, and control with this hands-on, project-based textbook, including over 20 hands-on Arduino, Matlab an
Více informacíStatistical Physics of Data Assimilation and Machine Learning
The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statistical
Více informacíMachine Learning and Data Science Blueprints for Finance
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researc
Více informacíThe Pragmatic Programmer for Machine Learning Taylor & Francis Ltd
Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life, yet software engineering has played a remarkably small role compared to other disciplines. Comprising a complete overview of how to design machine learning pipelines, this book provides a multi-disciplinary view of how traditional software learning...
Více informacíApplied Machine Learning Using mlr3 in R Taylor & Francis Ltd
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. This book gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R....
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