Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: The Data Scientist's Manual to Data Mining, Deep Learning & Natural

Peter Ghavami

商品描述

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods are covered. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. This book is ideal as a text book for a course or as a reference for data scientists, data engineers, data analysts, Business intelligence practitioners, and business managers. It covers 10 chapters that discuss natural language processing (NLP), data visualization, prediction, optimization, artificial intelligence, regression analysis, cox hazard model and many analytics use case examples with applications in healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services. Big Data Analytics Methods Is a must read for those who wish to gain confidence and knowledge about big data and advanced analytics techniques. Read this book and confidently speak, lead and guide others about machine learning, neural networks, NLP, deep learning, and over 100 other analytics techniques. This book is fun and easy to read. It starts with simple and broad explanation of methods and gradually introduces more technical terms and techniques layer by layer. It finally introduces the underlying mathematical terms for those who want a mathematical foundation of the analytics methods. This book is one of a kind as it provides state of the art in advanced data analytics methods with important best practices to ensure the reader’s success in data analytics.

商品描述(中文翻譯)

《大數據分析方法》揭示了高級分析技術的秘密,包括機器學習、隨機森林分類器、預測建模、聚類分析、自然語言處理(NLP)、卡爾曼濾波和模型集成等,以實現分析和預測的最佳準確性。書中涵蓋了100多種分析技術和方法。本書提供了處理缺失數據、噪聲和髒數據、誤差減少和增強信號以減少噪聲的解決方案和技巧。本書非常適合作為課程教材或數據科學家、數據工程師、數據分析師、商業智能從業者和業務經理的參考書。書中涵蓋了10個章節,討論了自然語言處理(NLP)、數據可視化、預測、優化、人工智能、回歸分析、Cox風險模型以及在醫療、交通、零售、電信、咨詢、製造、能源和金融服務等領域的許多分析應用案例。《大數據分析方法》是那些希望在大數據和高級分析技術方面獲得信心和知識的人必讀之書。閱讀本書,您將能自信地談論、領導和指導他人關於機器學習、神經網絡、NLP、深度學習和其他100多種分析技術。本書閱讀起來有趣且易懂。它從簡單而廣泛的方法解釋開始,逐步引入更多的技術術語和技巧。最後,它介紹了底層的數學術語,以滿足那些希望在分析方法上建立數學基礎的讀者需求。本書是獨一無二的,因為它提供了先進的數據分析方法的最新技術和重要最佳實踐,以確保讀者在數據分析方面的成功。