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Data Science For Decision Makers Enhance Your Leadership Skills With Data Science And Ai Expertise Jon Howells

  • SKU: BELL-58616748
Data Science For Decision Makers Enhance Your Leadership Skills With Data Science And Ai Expertise Jon Howells
$ 31.00 $ 45.00 (-31%)

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Data Science For Decision Makers Enhance Your Leadership Skills With Data Science And Ai Expertise Jon Howells instant download after payment.

Publisher: Packt Publishing Ltd
File Extension: EPUB
File size: 9.9 MB
Pages: 270
Author: Jon Howells
ISBN: 9781837638345, 1837638349
Language: English
Year: 2024

Product desciption

Data Science For Decision Makers Enhance Your Leadership Skills With Data Science And Ai Expertise Jon Howells by Jon Howells 9781837638345, 1837638349 instant download after payment.

Gain the critical skills you need to manage data science teams, understand and evaluate statistical and machine learning models., and make decisions for your data science team and organization with confidence.

Key Features​Learn how to frame business problems as machine learning use-cases​Get a handle of on key machine learning and statistical concepts to better understand and evaluate data science results​Understand how to manage a data science team and structure a data science project from beginning to endBook Description​With the rise in the use of data science and artificial intelligence across industries, executives who may not have had a formal education and training in statistics and machine learning, are expected to make decisions around the outputs of complex models and manage data scientists and machine learning engineers. Leaders and managers within who work with, or are looking to bring data science into their departments and teams; can learn the fundamentals of data science to make better decisions. Decision makers reading this book will gain a solid understanding of the key concepts within statistics and machine learning to better and resource data science projects; interpret models developed by data scientists and machine learning engineers, and evaluate model accuracy, bias and fairness.

with step-by-step explanations of essential concepts and practical examples, you will begin by understanding fundamental concepts of statistical inference and machine learning. You will then learn how to interpret and evaluate machine learning models, and recent innovations in artificial intelligence.

​By the end of this book, you will be able to better equipped to frame business challenges as data science problems, manage data science projects, and become an effective data leader within your organization.

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