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Reviews of : Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF Book
Inside this Book – The book topics are good, but there are too many covered in 195 pages, since the explanations are too short for many serious topics. Chapter 5 on Deep Learning and Neural Networks / Tensorflow is a good example: 15 pages of source code with no explanation / 20 pages in total. Some source code files are given but they are often different from in the book, and many examples are missing. This requires copying and reformatting the exact text from the book and reformatting it before testing the concepts illustrated in the book. PET PEEVE: Source code files are not named in the book, so it takes a lot of time to find and rename files to correspond to book chapters. Please organize the code examples much better.
Inside this book –Advanced Data Analytics Using Python PDF Book by Sayan Mukhopadhyay – Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis.
Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF : eBook Information
- Full Book Name – Advanced Data Analytics Using Python
- Author of this Book – Sayan Mukhopadhyay
- Language – English
- Book Genre – Non Fiction, Novel, Short Story
- Download Format – PDF
- Size – 1.53 MB
- eBook Pages –190
- Price – Free