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Machine Learning for Factor Investing: R Version

hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor;

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Machine Learning for Factor Investing: R Version

hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor;

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Machine Learning for Asset Management

area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area;

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Machine Learning with R

learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning;

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Machine Learning Using R

industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For;

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Machine Learning with R Cookbook

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;

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R

Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R;

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Machine Learning With R

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to;

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Introduction to Machine Learning with R

guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with;

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Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects About This Book * Get to grips with the;

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Mastering Machine Learning with R -

insights into the application of machine learning tools in the industry * Manipulate data in R efficiently to prepare it for analysis * Master;

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R

learning models * Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;

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Equity Smart Beta and Factor Investing for Practitioners

Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.;

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R Machine Learning By Example

complex problems by using power-packed R constructs and its robust packages for machine learning * Learn to build your own machine learning;

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Factor Investing

, and also for Mscs/PhD students and academics in finance. Grounded in decades of research, factor investing is attracting a growing interest;

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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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Advanced R Statistical Programming and Data Models

, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Linear Models with Python

This version replaces R with Python to make it accessible to a greater number of users outside of statistics including those from Machine;

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Oracle Business Intelligence with Machine Learning

successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R;

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R Machine Learning Essentials

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Practical Machine Learning in R

XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested;

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Machine Learning and Data Science

– recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.The R statistical environment;

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