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Liu Peng
The Statistics and Machine Learning with R Workshop
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1797101The Statistics and Machine Learning with R Workshophttps://www.gandhi.com.mx/the-statistics-and-machine-learning-with-r-workshop/phttps://gandhi.vtexassets.com/arquivos/ids/157560/02136b6c-8bc5-4169-9b11-4ba05259cbb4.jpg?v=638333628070330000739821MXNPackt PublishingInStock/Ebooks/1768712The Statistics and Machine Learning with R Workshop739821https://www.gandhi.com.mx/the-statistics-and-machine-learning-with-r-workshop/phttps://gandhi.vtexassets.com/arquivos/ids/157560/02136b6c-8bc5-4169-9b11-4ba05259cbb4.jpg?v=638333628070330000InStockMXN99999DIEbook20239781803237756_W3siaWQiOiI2ZGRjYmI1Ni1iNmM4LTQ2N2ItOTI2YS0xZGExNjMzZDU1ZDgiLCJsaXN0UHJpY2UiOjgyMSwiZGlzY291bnQiOjgyLCJzZWxsaW5nUHJpY2UiOjczOSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781803237756_<p><strong>Gain a better grasp of the foundational knowledge in statistics and machine learning, understand how to use common R libraries for data processing, model training and web application development.</strong></p><h4>Key Features</h4><ul><li>Well-illustrated theory and codes, making the material intuitive and beginner-friendly</li><li>Essential knowhow with proper context on the usage and application beyond simple knowledge sharing</li><li>Both hard skills for statistics and machine learning and soft presentational skills</li></ul><h4>Book Description</h4><p>This workshop title combines thorough explanations of essential concepts, practical examples, and self-assessment questions with detailed hands-on exercises to help you explore the essential topics in statistics and machine learning.</p><p>You will learn the critical components of the entire model development process, as well as common applications. You will also build interactive applications that support effective presentation and cover advanced topics such as computer vision and natural language processing.</p><p>Youll see how to use R to work with different data types, and how to overcome all kinds of mathematical challenges in R, including algebra, calculus, and probability questions. Youll even see how to use R for linear regression and Bayesian statistical problems.</p><p>By the end of this book, you will have a better grasp of the foundational knowledge in statistics and machine learning, understand how to use common R libraries for data processing, model training and web application development, and know how to tweak the inner workings of libraries.</p><h4>What you will learn</h4><ul><li>Understand the theory and practice of essential concepts in statistics and ML</li><li>Learn Algorithms and implementation for popular machine learning approaches</li><li>Learn how to build web applications from scratch</li><li>Lear to create efficient model development and interactive analysis</li><li>Learn how to visualize data with ggplot</li><li>Use R to meet your statistical needs, including Bayesian and linear regression</li></ul><h4>Who This Book Is For</h4><p>Beginner to intermediate level data scientists will get a lot out of this book; so will undergraduate to masters-level students, and early to mid-senior data scientist or analytics related roles.</p><p>Basic knowledge of linear algebra and modelling will be helpful to understand the concepts covered in this book.</p><h4>Table of Contents</h4><ol><li>Getting started with R</li><li>Data processing with dplyr</li><li>Intermediate Data Processing</li><li>Data visualization with ggplot2</li><li>Exploratory Data analysis</li><li>Effective reporting with R Markdown</li><li>Linear algebra in R</li><li>Intermediate linear algebra in R</li><li>Calculus in R</li><li>Probability basics</li><li>Sampling distribution</li><li>Statistics estimation</li><li>Hypothesis testing</li><li>Linear regression</li><li>Bayesian statistics</li></ol>...(*_*)9781803237756_<p><b>Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference</b></p><h2>Key Features</h2><ul><li>Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples</li><li>Gain practical insights into the real-world applications of statistics and machine learning</li><li>Explore the technicalities of statistics and machine learning for effective data presentation</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts. Starting with the fundamentals, youll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, youll also delve into Rs statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. Youll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career. By the end of this book, youll have a robust foundational understanding of statistics and machine learning. Youll also be proficient in using Rs extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.<h2>What you will learn</h2><ul><li>Hone your skills in different probability distributions and hypothesis testing</li><li>Explore the fundamentals of linear algebra and calculus</li><li>Master crucial statistics and machine learning concepts in theory and practice</li><li>Discover essential data processing and visualization techniques</li><li>Engage in interactive data analysis using R</li><li>Use R to perform statistical modeling, including Bayesian and linear regression</li></ul><h2>Who this book is for</h2><p>This book is for beginner to intermediate-level data scientists, undergraduate to masters-level students, and early to mid-senior data scientists or analysts looking to expand their knowledge of machine learning by exploring various R libraries. Basic knowledge of linear algebra and data modeling is a must.</p>...9781803237756_Packt Publishinglibro_electonico_4bbf3c22-0208-3a65-b5f4-f4c3c142d00a_9781803237756;9781803237756_9781803237756Liu PengInglésMéxico2023-10-25T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-51d11dc2-eccf-4303-972a-4d5820e05e1e.epub2023-10-25T00:00:00+00:00Packt Publishing