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Machine Learning: 2 manuscript

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Artificial Intelligence Bundle

Artificial Intelligence Bundle - 3 Books in 1Book 1: Artificial Intelligence for People in a HurryBook 2: Machine Learning in FinanceBook 3;

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Python 3 for Machine Learning

related to machine learning Includes separate appendices for regular expressions, Keras, and TensorFlow 2;

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Computational Learning Theory & Natural Learning Systems V 2 - Intersections Between Theory & Experiment

This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the;

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Machine Learning with Core ML 2 and Swift

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Artificial Intelligence, Machine Learning, and Deep Learning

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn

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Challenges in Machine Generation of Analytic Products from Multi-Source Data

2 Session 1: Plenary 3 Session 2: Machine Learning from Image, Video, and Map Data 4 Session 3: Machine Learning from Natural Languages 5;

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Tensorflow 2

learning, linear and logical regression, etc. Covers TensorFlow 2 and previous versions that run with TF2. Includes companion files with source;

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Handbook of Research on Machine Learning Innovations and Trends, VOL 2

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Machine Learning for Economics and Finance in TensorFlow 2

;ll LearnDefine, train, and evaluate machine learning models in TensorFlow 2 Apply fundamental concepts in machine learning, such as deep;

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Practical Machine Learning with Python

also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and;

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Machine Learning

the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents;

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Apache Spark 2

hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for;

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Intelligent Learning Systems

for pattern classification. Section 2 focuses on intelligent learning methods and approaches, describing evolutionary learning of concepts;

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Artificial Neural Networks with TensorFlow 2

capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into;

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Mastering Machine Learning Algorithms

machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage;

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Machine Learning with Spark -

Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book * Get to the;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural;

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TensorFlow 2.0 Quick Start Guide

book is forData scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will;

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Beginning Deep Learning with TensorFlow

learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For;

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Machine Learning for Oracle Database Professionals

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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