e-Book

The Definitive Guide to Machine Learning for Business Leaders

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The business world is overloaded with buzz terms like artificial intelligence, machine learning, AI transformation, deep learning, and data science. These fields, technologies, and tools are changing the competitive landscape across verticals and influencing business outcomes. 

In this eBook, we draw the line between these loaded terms and offer practical guidance:

  • Distinguish where artificial intelligence, machine learning, and data science intersect and diverge

  • Avoid common pitfalls and follow best practices in machine learning

  • Craft your data strategy to include data both big and small

  • Find out how point-and-click tools can reduce your barrier to entry to data science and machine learning

  • Explore what it takes to build a data-driven culture

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp

Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science seamlessly. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.

Connect with Hugo on LinkedIn and Twitter.

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