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Data Science for Decision Makers

You're reading from   Data Science for Decision Makers Enhance your leadership skills with data science and AI expertise

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837637294
Length 270 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Jon Howells Jon Howells
Author Profile Icon Jon Howells
Jon Howells
LinkedIn
​Jon Howells is a seasoned AI and Data Science professional with a decade of experience in the field. He runs an AI consultancy called Qualifai and has worked with various companies, including Unilever, Permira and Capgemini, developing and deploying data science services and solutions. He holds a Master's degree in Computational Statistics & Machine Learning from UCL. Jon is particularly interested in the application of Large Language Models (LLMs) in consumer-focused businesses, such as using LLMs for consumer research and feedback analysis, personalized content generation, and enhanced customer support, ultimately helping businesses better understand and engage with their customers.
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Understanding Data Science and Its Foundations
2. Chapter 1: Introducing Data Science FREE CHAPTER 3. Chapter 2: Characterizing and Collecting Data 4. Chapter 3: Exploratory Data Analysis 5. Chapter 4: The Significance of Significance 6. Chapter 5: Understanding Regression 7. Part 2: Machine Learning – Concepts, Applications, and Pitfalls
8. Chapter 6: Introducing Machine Learning 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Interpreting and Evaluating Machine Learning Models 12. Chapter 10: Common Pitfalls in Machine Learning 13. Part 3: Leading Successful Data Science Projects and Teams
14. Chapter 11: The Structure of a Data Science Project 15. Chapter 12: The Data Science Team 16. Chapter 13: Managing the Data Science Team 17. Chapter 14: Continuing Your Journey as a Data Science Leader 18. Index 19. Other Books You May Enjoy

Staying up to date with current DS/ML/AI news and trends

In addition to continuous learning through online courses and certifications, staying informed about the latest developments, trends, and news in the world of data science, machine learning, and artificial intelligence is important for data science leaders.

Here are some effective ways to stay up to date:

Industry blogs and publications

Follow reputable blogs and publications that cover DS/ML/AI topics, such as the following:

  • Towards Data Science
  • KDnuggets
  • Machine Learning Mastery
  • Google AI Blog
  • OpenAI Blog

These resources provide insights, tutorials, and news on the latest advancements and applications in the field.

Podcasts

Listen to podcasts and YouTube channels that provide AI news, interview experts, and discuss current trends in DS/ML/AI, such as the following:

  • Two Minute Papers
  • Data Skeptic
  • Matthew Berman
  • The AI Podcast by Lex Fridman
  • Matt Wolfe
    • ...
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Authors (1)

Profile icon Howells
Howells
LinkedIn icon Github icon
​Jon Howells is a seasoned AI and Data Science professional with a decade of experience in the field. He runs an AI consultancy called Qualifai and has worked with various companies, including Unilever, Permira and Capgemini, developing and deploying data science services and solutions. He holds a Master's degree in Computational Statistics & Machine Learning from UCL. Jon is particularly interested in the application of Large Language Models (LLMs) in consumer-focused businesses, such as using LLMs for consumer research and feedback analysis, personalized content generation, and enhanced customer support, ultimately helping businesses better understand and engage with their customers.
Read more
See other products by Howells

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