The Statistics and Machine Learning with R Workshop: Unlock the power of efficient data science modeling with this hands-on guide

Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference

Key Features:

• Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples
• Gain practical insights into the real-world applications of statistics and machine learning
• Explore the technicalities of statistics and machine learning for effective data presentation
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

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, you'll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you'll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You'll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career.

By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You'll also be proficient in using R's 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.

What You Will Learn:

• Hone your skills in different probability distributions and hypothesis testing
• Explore the fundamentals of linear algebra and calculus
• Master crucial statistics and machine learning concepts in theory and practice
• Discover essential data processing and visualization techniques
• Engage in interactive data analysis using R
• Use R to perform statistical modeling, including Bayesian and linear regression

Who this book is for:

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.

學習使用R程式庫進行數據處理、可視化、模型訓練和統計推斷的統計學和機器學習基礎。

主要特點：
- 通過詳細的解釋、直觀的插圖和代碼示例，提升您的機器學習職業生涯。
- 獲得有關統計學和機器學習在現實世界應用的實用見解。
- 探索統計學和機器學習的技術細節，以實現有效的數據呈現。
- 購買印刷版或Kindle電子書，即可獲得免費的PDF電子書。

書籍描述：
《統計學和機器學習與R工作坊》是一本充滿統計學和機器學習見解的綜合資源，並深入介紹了R程式庫。通過實際示例和實踐練習，進一步提升學習體驗，並解釋了關鍵概念。

從基礎知識開始，您將探索完整的模型開發過程，涵蓋從數據預處理到模型開發的所有內容。除了機器學習，您還將深入研究R的統計能力，學習操作各種數據類型，並應對從代數和微積分到概率和貝葉斯統計學的複雜數學挑戰。您將探索線性回歸技術和更高級的統計方法，以提升您的技能並推進職業生涯。

通過閱讀本書，您將對統計學和機器學習有堅實的基礎理解。您還將熟練使用R的廣泛程式庫進行數據處理和模型訓練，並能夠在未來的項目中充分利用R的潛力。

學到什麼：
- 提升在不同概率分佈和假設檢驗方面的技能。
- 探索線性代數和微積分的基礎知識。
- 在理論和實踐中掌握關鍵的統計學和機器學習概念。
- 發現必要的數據處理和可視化技術。
- 使用R進行交互式數據分析。
- 使用R進行統計建模，包括貝葉斯和線性回歸。

適合對象：
本書適合初級到中級數據科學家、本科到碩士學生以及早期到中期的高級數據科學家或分析師，他們希望通過探索各種R程式庫來擴展他們的機器學習知識。必須具備線性代數和數據建模的基本知識。