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Machine Learning Systems

monitoring. Reactive Machine Learning Systems teaches readers how to implement reactive design solutions in their machine learning systems;

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Machine Learning Research Progress

As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques;

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Designing Machine Learning Systems with Python

Design efficient machine learning systems that give you more accurate results About This Book * Gain an understanding of the machine;

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Machine Learning Design Patterns

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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Python

algorithms * Solve unique tasks by building models * Get grips on the machine learning design process In Detail Machine learning and;

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Graph-Powered Machine Learning

in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis;

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Exact Constraint

Exact Constraint: Machine Design Using Kinematic Principles gives you a unique and powerful set of rules and techniques to facilitate the;

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Machine Learning Engineering with Python

using a variety of techniques and design your own processes for consistently performant machine learning engineering. What you will learn;

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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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Zen of Cloud

This book provides a comprehensive review of cloud philosophy, design principals, development trends as well as practical patterns to guide;

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Practical Design Patterns for Teaching and Learning with Technology

ISBN Practical Design Patterns for Teaching and Learning with Technology. Type boekomslag: Hardcover, Uitgever: Brill, Sense, Minimum;

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Machine Learning for Cyber Physical Systems

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers;

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Machine Learning for Cyber Physical Systems

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers;

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Machine Learning with Apache Spark Quick Start Guide

Data, Distributed Technologies and Machine Learning Learn how to design, develop and interpret the results of common Machine Learning;

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Thinking Machines

in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware;

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Computer Analysis of Images and Patterns

and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;

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Intelligent Learning Systems

recommendation, intelligent interaction support for e-learning, data mining for instructional design, learning and assessment, students' access patterns;

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Optimization in Machine Learning and Applications

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information;

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Optimization in Machine Learning and Applications

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information;

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Machine Learning for Cyber Physical Systems

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains;

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Machine Component Analysis with MATLAB

thorough, rigorous presentation of machine design, augmented with proven learning techniques which can be used by students and practicing engineers;

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ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020)

Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data;

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PyTorch Pocket Reference

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas;

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