Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
Episodes
Mentioned books
Jun 1, 2021 • 45min
475: The 20% of Analytics Driving 80% of ROI
David Langer, a data scientist and the founder of Dave on Data, dives into analytics education and emphasizes the crucial 20% of analytics that delivers 80% of ROI. He explores practical tools like Excel, SQL, and R, unveiling how these can transform business insights. The conversation flows from the benefits of SQL for data solutions to the statistical power of R in machine learning. With a sprinkle of humor, they discuss the importance of focusing on high-impact analytics, all while promoting a vibrant data science community.
May 28, 2021 • 6min
474: The Machine Learning House
Discover the blueprint of a 'machine learning house' and how foundational topics like linear algebra, calculus, and probability form the bedrock of a successful data science career. Explore how mastering these subjects can deepen your understanding of machine learning. Learn effective strategies for progressive learning, including practical coding tools and concepts to elevate your skills. This engaging discussion provides valuable insights for anyone aspiring to thrive in the data science field!
May 25, 2021 • 1h 13min
473: Machine Learning at NVIDIA
Anima Anandkumar, Director of Machine Learning Research at NVIDIA and a Professor at Caltech, passionately discusses her innovative AI research and the synergy between academia and industry. She shares her surprising discovery of yoga as a personal growth tool and reflects on balancing demanding work commitments. Anima dives into the fascinating world of tensors, their pivotal role in AI, and NVIDIA's groundbreaking projects. The conversation also touches on the path towards generalized AI and the essential skills needed for success in this ever-evolving field.
May 21, 2021 • 3min
472: The Learning Never Stops (so Relax)
Dive into the inspiring world of lifelong learning in data science! A heartfelt note from a dedicated student sets the stage for a discussion on the continuous educational journey in this ever-evolving field. The speaker shares personal experiences and encourages embracing the complexities with enthusiasm. Discover the importance of fostering a community focused on ongoing discovery and growth in your data science career!
May 18, 2021 • 1h 41min
471: 99 Days to Your First Data Science Job
Kirill Eremenko, Founder and CEO of Super Data Science, returns to share invaluable insights on landing your first data science job. He debunks common myths, such as the necessity of specific degrees or prior experience, emphasizing the importance of passion and transferable skills. Kirill outlines a structured 99-day plan, highlighting essential skills like coding and networking. He encourages listeners to reflect on their motivations and stresses that anyone can break into the field, regardless of background, making data science accessible and exciting!
May 14, 2021 • 6min
470: My Favorite Books
Get ready for a dive into the speaker's favorite reads! Highlights include 'Atomic Habits,' which emphasizes how tiny changes can lead to massive personal transformation. The conversation also touches on 'Sapiens,' sparking optimism about humanity's journey. Additionally, graphic novels like 'Cat's Cradle' are explored, revealing their philosophical depth. Expect a delightful mix of humor and essential resources for understanding deep learning, making this a must-listen for book lovers and aspiring data scientists alike!
May 11, 2021 • 1h 12min
469: Learning Deep Learning Together
Konrad Körding, a full professor at the University of Pennsylvania, merges biological neuroscience with artificial intelligence and leads the Neuromatch Academy. In this discussion, he emphasizes the significance of causality in deep learning and explores the future of artificial general intelligence. He shares insights on innovative educational approaches during the pandemic and the high completion rates of online courses. Körding also highlights skills essential for aspiring data scientists and discusses the role of interdisciplinary collaboration in advancing AI research.
May 7, 2021 • 8min
468: The History of Data
Explore the incredible history of data, starting from the origins of RNA over 4 billion years ago. Discover how ancient clay tokens evolved into punch cards, marking the dawn of data manipulation. Learn about the revolutionary advancements in data storage and processing, culminating in modern cloud technologies. This journey highlights the significance of data in shaping our understanding of information and technology.
May 4, 2021 • 1h 17min
467: High-Impact Data Science Made Easy
Noah Gift, founder of Pragmatic AI Labs and author of eight books on data science, shares insights on the transformative power of data science. He discusses educational options beyond traditional universities, emphasizing hands-on experience. Noah highlights urgent technology applications and the democratization of machine learning through tools like AutoML. He also explores diversifying income streams and the importance of leveraging free time for impactful problem-solving. His Coursera course aims to make advanced concepts accessible to all.
Apr 30, 2021 • 8min
466: Good vs. Great Data Scientists
Discover what sets great data scientists apart from the good ones. The discussion dives into essential traits like communication skills and a strong desire to learn. Listeners are encouraged to reflect on their own journey in data science while enjoying a blend of humor and valuable insights. Tune in for a thought-provoking exploration of excellence in the field!
