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Machine Learning With Go

learning applications that leverage Go's standard library along with popular Go packages. * Learn the statistics, algorithms, and techniques;

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Go Machine Learning Projects

learning ecosystem Implement clustering, regression, classification, and neural networks with Go Get to grips with libraries such as Gorgonia;

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Deep Learning and the Game of Go

applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model;

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Hands-On Deep Learning with Go

efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these;

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Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments;

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Machine Learning on Geographical Data Using Python

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data;

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Machine Learning with Spark -

grips with the latest version of Apache Spark * Utilize Spark's machine learning library to implement predictive analytics * Leverage Spark's;

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A Primer on Machine Learning in Subsurface Geosciences

This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It;

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Practical Machine Learning

solutions taking you into the future of machine learning * Go a step further and integrate your machine learning projects with Hadoop Who This;

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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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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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Mastering Go

with other systems using WebAssembly, JSON, and gRPC Write reliable, high-performance concurrent code Build machine learning systems in Go;

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Deep Learning with R

recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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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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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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Machine Learning with scikit-learn Quick Start Guide

learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data's behavior; develop;

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Machine Learning with R

Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;

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Python

deep learning algorithms * Increase predictive accuracy with deep learning and scalable data-handling techniques * Work with modern state;

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Introduction to Machine Learning with Python

machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn;

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Python Advanced Guide to Artificial Intelligence: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents us

DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the;

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Data Science Solutions on Azure

review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You'll also explore Azure;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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