Exploring the Significance of Mathematics in Data Science and Machine Learning

Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why Mariya was first interested in learning Python [04:44]
• The positive potential for future AI applications [12:02]
• Useful broadcasting software [23:09]
• The importance of productivity hacking in data science [34:13]
• The ethical problems of web scraping [38:45]
• Mariya’s favorite Python libraries [53:48]
• What excites Mariya about the future of NLP [1:13:53]
• Mariya’s favorite software tools [1:15:23]

Additional materials: www.superdatascience.com/639