Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF Download

Download Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF eBook. The book “Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples” 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.

Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF Book Review

“Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples” is a great book for data scientists and software developers interested in the field of data analytics. Sayan Mukhopadhyay is the author of this book. Sayan has 13+ years industry experience with companies like Credit-Suisse, Paypal, CA Technolgy, CSC, Mphasis. His area of expertise is applied of high-performance computing in distributed and data-driven environment. He has a deep understanding of applications of data analysis in the domain like Investment Banking, Online Payment, Online Advertisement, IT Infrastructure, and Retail.

Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF Download

In this book, he discusses how to implement ETL techniques. It provides a ton of usable, executable advice using good examples and in a very readable style. Examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP are discussed in details. The book also covers important traditional data analysis techniques such as time series and principal component analysis. In summary, we highly recommend this book to all data scientists and software developers interested in the field of data analytics.

Details About Advanced Data Analytics Using Python by Sayan Mukhopadhyay PDF

  • Name: Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
  • Author: Sayan Mukhopadhyay
  • Language: English
  • Genere: Software Development
  • Format: PDF
  • Size: 1.53 MB
  • Pages: 186
  • Price: Free

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