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A Brief Introduction to Machine Learning for Engineers

recent developments and pointers to the literature for further study. A Brief Introduction to Machine Learning for Engineers is the entry point;

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Fundamentals of Machine Learning

fundamental part of everyday life. This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from;

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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Introduction to Machine Learning

. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory;

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Introduction to Machine Learning

. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory;

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Deploy Machine Learning Models to Production

is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into;

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Visualizing Google Cloud

Vergadia delivers a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique use cases. After a brief;

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Practical Machine Learning with Python

, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are;

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Practical Machine Learning with Rust

libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud;

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Machine Learning for Beginners

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few;

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Machine Learning for Beginners

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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Machine Learning for iOS Developers

Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement;

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Machine Learning for Engineers

and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;

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Machine Learning in Cardiovascular Medicine

; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended;

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Machine Learning for Speaker Recognition

learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and;

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Machine Learning in Bioinformatics

An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are;

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Deep Learning from Scratch Building with Python from First Principles

software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience;

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Machine Learning with Scala Quick Start Guide

concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data;

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Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;

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Statistical Reinforcement Learning

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic;

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Statistical Reinforcement Learning

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic;

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