Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition

Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition

E- BookAdvanced Machine LearningBuilding Smart Applications with Rmachine learning

English | 2019 | ISBN: 1789618002 | 354 pages | EPUB | 5.58 MB Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features • Build independent machine learning (ML) systems leveraging the best features of R 3.5 •

Machine Learning for Finance: Principles and practice for financial insiders

Machine Learning for Finance: Principles and practice for financial insiders

E- BookFinanceFinancial insidersmachine learning

English | May 31st, 2019 | ISBN: 1789136369 | 456 pages | EPUB (True/Retail Copy) | 20.68 MB Plan and build useful machine learning systems for financial services, with full working Python code Key Features • Build machine learning systems that will be useful across the financial services industry • Discover how machine learning can

Machine Learning: a Concise Introduction

Machine Learning: a Concise Introduction (Wiley in Probability and Statistics)

E- Bookmachine learningMathematicsProbabilityprogrammingstatistics

English | April 2nd, 2018 | ISBN: 1119439191 | 352 pages | EPUB | 7.12 MB AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core

Building Machine Learning Powered Applications

Building Machine Learning Powered Applications

E- BookComputer sciencemachine learningMachine Learning Powered Apllications

English | ISBN: 9781492045106 | 150 pages | February 2020 | EPUB | 4.32 MB Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers

Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

E- BookGenetic Algorithmsmachine learningprogramming

ISBN: 168050620X | 2019 | True PDF | 236 pages | 14 MB Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive

AI Self-Driving Cars Evolvement: Practical Advances in Artificial Intelligence and Machine Learning

AI Self-Driving Cars Evolvement: Practical Advances in Artificial Intelligence and Machine Learning

E- BookAIartificial intelligencemachine learningSelf-Driving Cars

English | March 25, 2019 | ISBN: 1732976082 | 256 pages | AZW3 | 1.59 Mb A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides evolving advances for the advent of AI self-driving driverless cars. Included