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ML for the Working Programmer

of programming languages. The main features of new Standard Library for the revised version of ML are described and many new examples are given, while;

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Psychology of Good Programmer

programmer successful in his/her career. A programmer is well prepared for software engineering career if he/she is well aware of some of the;

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Machine Learning with Amazon SageMaker Cookbook

, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning;

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML;

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Human and Machine Learning

-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and;

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Mastering Azure Machine Learning

choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data;

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Concurrent Programming in ML

tutorial introduction to programming in Concurrent ML (CML), the book presents three extended examples using CML for practical systems programming;

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Concurrent Programming in ML

tutorial introduction to programming in Concurrent ML (CML), the book presents three extended examples using CML for practical systems programming;

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The Definition of Standard Ml

This book presents the official, formal definition of the programming language ML including the rules for grammar and static and dynamic;

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Building Machine Learning Powered Applications Going from Idea to Product

application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills;

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Machine Learning

explainability amount to specific design choices for the model, data, and loss of a ML method.;

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Beginning Machine Learning in the Browser

intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes;

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Machine Learning with Core ML

in the context of mobile platforms (specifically iOS). You'll learn to implement Core ML for visual-based applications using the principles;

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Practical Java Machine Learning

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;

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Elements of ML Programming, ML97 Edition

For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for;

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Programmer/Programmer Analyst (C-1439): Passbooks Study Guide

The ProgrammerProgrammer Analyst Passbook® prepares you for your test by allowing you to take practice exams in the subjects you need to;

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AIML systems against attacks;

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Machine Learning for iOS Developers

Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple;

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Machine Learning in Asset Pricing

environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML;

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Intelligent Computing for Interactive System Design

an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor;

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Python Machine Learning for Beginners

Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a;

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Machine Learning for Computer Scientists and Data Analysts

helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a;

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Programming Basics

-programmers working with software developers. Those in the gaming/media industry will also benefit from understanding a programmer's point;

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Artificial Intelligence for Business

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business;

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Machine Learning and Artificial Intelligence

be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book;

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Machine Learning and Artificial Intelligence

be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book;

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Machine Learning in Chemistry

science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to;

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