Introduction to Statistical and Machine Learning Methods for Data Science

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Introduction to Statistical and Machine Learning Methods for Data Science - Carlos Andre Reis Pinheiro, Mike Patetta 2021 PDF | EPUB SAS BOOKS PROGRAMMING

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Introduction to Statistical and Machine Learning Methods for Data Science

Author: Carlos Andre Reis Pinheiro, Mike Patetta
Year: 2021
Format: PDF | EPUB
File size: 18,5 MB, 10 MB
Language: ENG

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In addition it explores emerging topics such as deep learning and big data. Book Description: Introduction to Statistical and Machine Learning Methods for Data Science Author: [Name] 2021 Pages: [Number] SAS Introduction: In today's world, technology is rapidly evolving, and data science has become an essential tool for businesses and organizations to make informed decisions. With the increasing amount of data being generated every day, there is a growing need for professionals who can analyze and interpret these data to gain valuable insights. Introduction to Statistical and Machine Learning Methods for Data Science is a comprehensive guide that provides readers with the fundamentals of data science techniques and methods, enabling them to solve real-world problems effectively. This book covers every aspect of the analytics life cycle, from data preparation and exploration to model assessment and deployment, making it an indispensable resource for anyone looking to enter the field of data science. The Need to Study and Understand the Process of Technological Evolution: Technology has been advancing at an unprecedented rate, and data science is no exception. As more and more data becomes available, the demand for professionals who can analyze and interpret this data has grown exponentially. The ability to extract insights from data has become a vital skill in various industries, such as finance, healthcare, marketing, and more. This book provides readers with the necessary tools and knowledge to succeed in this field. It emphasizes the importance of understanding the technological process of developing modern knowledge and how it can be applied to solve real-world problems. Developing a Personal Paradigm: To survive in today's world, it is essential to develop a personal paradigm for perceiving the technological process of developing modern knowledge.

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