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The Hundred-Page Machine Learning Book

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Genetic Algorithms, Fuzzy Systems & Website Classification

chain through fuzzy outranking techniques; fast web page classification without accessing the web page using machine learning techniques;

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Machine Learning for Oracle Database Professionals

Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML;

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Machine Learning for Finance

learning Book DescriptionMachine Learning for Finance explores new advances in machine learning and shows how they can be applied across the;

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Machine Learning in Industry

learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;

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Machine Learning Foundations

techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Machine Learning with scikit-learn Quick Start Guide

DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;

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Hands-On Automated Machine Learning

practitioners' work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to;

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Python Machine Learning

Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence;

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Machine Learning Applications Using Python

where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;

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Oracle Business Intelligence with Machine Learning

Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;

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Record of the One Hundred and Sixteenth Regiment

Record of the One hundred and sixteenth regiment, Ohio infantry volunteers in the war of the rebellion. This book, "Record of the One;

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Machine Learning with the Elastic Stack

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights;

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Machine Learning for Healthcare

through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations;

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Machine Learning with Core ML

Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple's Core ML;

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MACHINE LEARNING (Int'l Ed)

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve;

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Machine Learning with PySpark

challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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Ensemble Machine Learning Cookbook

approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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First Hundred Words in English

A classic English word book to help children learn key vocabulary, with one hundred everyday words illustrated in busy scenes and with;

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Machine Learning with the Elastic Stack

Leverage Elastic Stack's machine learning features to gain valuable insight from your data Key Features Combine machine learning with the;

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