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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

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Published Apr 1, 2022

SDS 562: Daily Habit #8: Math or Computer Science Exercise — with Jon Krohn

Jon Krohn delves into his habit tracking system that emphasizes daily technical exercises, showcasing how regular practice in math and computer science can enrich learning and create new opportunities. He also shares valuable resources that aid skill development, highlighting the intrinsic rewards of lifelong learning in these interconnected fields.
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  • Online Platforms

    shares his favorite online platforms for enhancing skills in math, computer science, and programming. He highlights resources like DataQuest for interactive data science education and his own YouTube courses on linear algebra and calculus tailored for machine learning enthusiasts 1.

    For your convenience, we've collated these recommendations for you in the Super Data Science podcast Virtual Library, which you can access for free at superdatascience.com.

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    These platforms are integral to Jon's habit-tracking system, which he uses to maintain and improve his technical skills daily.

       

    Reading Recommendations

    In addition to online platforms, recommends several books that are essential for anyone interested in data science and its mathematical foundations. He suggests "Introduction to Statistical Learning" and "Concrete Mathematics" as key texts for understanding the mathematical aspects of computer science 1.

    Like the other habits that I've already covered in my five-minute Friday episodes on my daily habits, I choose to log my math, computer science, or programming habit as a binary habit.

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    These reading materials complement his structured approach to daily learning and skill enhancement.

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