The Definitive Guide to Machine Learning for Business Leaders
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
Data Scientist
Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.





