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This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.

This book offers deep insight into the facts of the Qur'an, nature of revelation, difference of readings, miracles of the Qur'an, different approaches to the tafsir, and includes a rebuttal of the Orientalists' criticism of the Qur'an. Some have considered this work to be Mufti Taqi Usmani's greatest work. Part 1: Qur'an Wahy History of the Descent of the Qur'an The Seven Readings of the Qur'an Abrogator and Abrogated (Naskh and Mansookh) History of Preservation of the Qur'an Doubts about Preservation of the Qur'an and Their Answers Truthfulness of the Qur'an Subjects of the Qur'an Part 2: The Science of Tafsir (Exegesis) The Science of Exegesis (Tafsir) and Its Sources Unreliable Sources of Exegesis Some Important Principles of Exegesis Some Exegettes of Early Era