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Machine Learning

. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for;

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A Concise Introduction to Machine Learning

addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful;

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A Concise Introduction to Machine Learning

addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful;

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Foundations Of Machine Learning

concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices;

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Elements of Causal Inference

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The;

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Artificial Intelligence and Machine Learning for Business

Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to;

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Artificial Intelligence and Machine Learning for Business

Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to;

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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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Machine Learning: Introduction To Machine Learning

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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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A Brief Introduction to Machine Learning for Engineers

introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning;

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Foundations of Machine Learning

introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern;

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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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Introduction To Machine Learning In Quantitative Finance, An

well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you;

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Introduction To Machine Learning In Quantitative Finance, An

well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you;

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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 Statistical Machine Learning

, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine;

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Machine Learning The New AI

A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation;

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Data Science

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data;

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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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Machine Learning

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled;

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Python Machine Learning

skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science;

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Introduction to Artificial Intelligence

, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to;

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