Editor’s Note: This post is republished with permission from Trust Insights, a company that helps marketers solve/achieve issues with collecting data and measuring their digital marketing efforts.
A question I’m asked almost daily now is, “what are the best resources for getting started with data science, machine learning, and AI, especially for marketers?”
This list will be updated from time to time as new resources become available, but the basics should remain relatively stable.
We recommend the following path:
The fundamental underpinning of data science is statistics, so we strongly encourage you to read and become proficient with statistics. Read this book:
We also strongly recommend anyone interested in data science, machine learning, and artificial intelligence to be well versed in professional ethics. Read this book:
For learning practical data science techniques, we recommend the R statistical language and this book:
Prefer podcasts? Check out:
For those preferring a course, look to MIT’s data science course (free!):
Machine learning is the science of training machines to write their own software based on data provided to them.
For a much more technical, mathematical look, check out this book on Amazon:
A keynote address on YouTube I gave that gives a solid overview:
Prefer podcasts? Check out:
For those preferring a course, Google has an excellent free course:
Be sure to check out the following useful blogs: