Machine learning is arguably the most popular starting point for anyone looking to get into data science, and where many organizations start to implement AI into their practice. With AI becoming commonplace in much of the world, even the term “machine learning” itself is starting to become common knowledge.
It’s difficult to say where one should start their machine learning journey. What coding language do you want to use? What tools, platforms, and libraries to work with? What problems do you need to look out for and to avoid?
These 10 written tutorials and 10 videos from past ODSC conferences will hopefully be able to address those questions. Covering from the bare basics with R and Python to avoiding the black box problem, these ODSC resources will help those new to data science get started with machine learning, and may even provide a good resource for others to become acquainted with the fundamentals of the field.
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