In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems...
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and...
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R...
This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible,...
Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of everyday life.This...
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of...
The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014.The 107 papers...
This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in...
This book presents an interdisciplinary selection of cuttingedge research on RGBD based computer vision. Features: discusses the calibration of color and depth cameras, the reduction...
This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in...
This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in...
This book offers a clear understanding of the concept of contextaware machine learning including an automated rulebased framework within the broad area of data science...
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by...
Classifier systems play a major role in machine learning and knowledgebased systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have...
Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio...
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications,...
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used...
The twovolume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland,...
Simple explanations about emerging STEM (science, technology, engineering and mathematics) kickstarting your future genius! From artificial intelligence to neural networks, and from robots to zettabytes,...
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A Breakthrough In Machine Learning Would Be Worth Ten Microsofts. Bill Gatesdespite Being One Of The Hottest Disciplines In The Tech Industry Right Now, Artificial...
A Substantially Revised Third Edition Of A Comprehensive Textbook That Covers A Broad Range Of Topics Not Often Included In Introductory Texts.The Goal Of Machine...
Through A Recent Series Of Breakthroughs, Deep Learning Has Boosted The Entire Field Of Machine Learning. Now, Even Programmers Who Know Close To Nothing About...
With This Practical Book, Ai And Machine Learning Practitioners Will Learn How To Successfully Build And Deploy Data Science Projects On Amazon Web Services. The...
Graphics In This Book Are Printed In Black And White.Through A Series Of Recent Breakthroughs, Deep Learning Has Boosted The Entire Field Of Machine Learning....
Fundamental Topics In Machine Learning Are Presented Along With Theoretical And Conceptual Tools For The Discussion And Proof Of Algorithms.This Graduatelevel Textbook Introduces Fundamental Concepts...
An Introduction To A Broad Range Of Topics In Deep Learning, Covering Mathematical And Conceptual Background, Deep Learning Techniques Used In Industry, And Research Perspectives.?Written...
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared...
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared...
Work with petabytescale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query...
Work with petabytescale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query...
Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority...
A concise and selfcontained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and...
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis minate new results,...
Cybersolutions to realworld business problemsArtificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50...
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these...
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