Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Mar 24, 2021 • 58min

455: Legal Tech, Powered by Machine Learning

Horace Wu, founder and director of Syntheia, shares insights from his journey transitioning from attorney to machine learning entrepreneur. He discusses Syntheia's innovative approach to managing vast legal data, enhancing law firm efficiency. Horace also dives into the integration of NLP in legal tech and how it transforms document analysis. Listeners will enjoy stories from his time in New York City, entrepreneurial lessons on bootstrapping, and the essential skills needed to thrive in this evolving field.
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Mar 19, 2021 • 7min

454: The Staggering Pace of Progress Part 2

Discover how machine learning is revolutionizing recruitment by streamlining candidate evaluations. Explore the journey from traditional hiring practices to a tech-driven world, where algorithms are not just improving efficiency but also tackling biases. The conversation delves into future advancements in AI, emphasizing its potential to reshape not only recruitment but various sectors in society.
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Mar 17, 2021 • 1h 22min

453: Big Global Problems Worth Solving with Machine Learning

Stephen Welch, Vice President of Data Science at Mariner and YouTube educator from Welch Labs, explores the role of machine learning in solving global challenges. He reflects on ten critical issues that need attention, from social justice to climate change. The discussion toggles between personal insights from life during the pandemic and the evolving landscape of data science education. Welch highlights opportunities for non-technical individuals in deep learning and shares lessons from his transition to the manufacturing sector.
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Mar 12, 2021 • 6min

452: The Staggering Pace of Progress

Dive into the fascinating evolution of recruitment from ancient practices to AI-driven solutions. Discover how technology is revolutionizing the hiring process and shaping the future of work. Explore the rapid advancements that are transforming various industries and learn about the implications of these changes for recruiters and candidates alike. This insightful discussion reveals the staggering pace at which progress is occurring in the world of recruitment.
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Mar 11, 2021 • 1h 16min

451: Translating PhD Research into ML Applications

Dan Shiebler, a Staff Machine Learning Engineer at Twitter and PhD candidate at the University of Oxford, dives into the intersection of academia and industry. He discusses the challenges of balancing a full-time job with PhD research in category theory. Dan shares insights on transitioning from MATLAB to Python, innovative data labeling strategies in insurance, and the skills sought in tech interviews. He also reflects on the evolving roles of data professionals and the future of machine learning approaches. It's a blend of theoretical depth and practical application!
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Mar 5, 2021 • 30min

450: Yoga Nidra

Steve Fazzari, a seasoned Yoga instructor with 15 years of expertise in Yoga Nidra, joins to discuss the myriad physical and emotional benefits of this practice. He explains how Yoga Nidra promotes deep relaxation, affecting brain physiology similarly to deep sleep. The episode highlights optimal session lengths, recommending 15 to 30 minutes for maximum benefit. Listeners learn how to create a peaceful practice environment and experience a visual exercise aimed at fostering inner peace and personal growth.
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Mar 4, 2021 • 60min

449: Fairness in A.I.

Ayodele Odubela, a data science evangelist at Comet ML and founder of Fully Connected, promotes inclusivity in AI and ML. They dive into the complexities of bias in machine learning, stressing the need for transparency and accountability in algorithms. Ayodele shares insights on overcoming imposter syndrome and the importance of community support in data science. They also discuss actionable strategies for achieving fairness in AI and envision a future where diversified data sets lead to equitable outcomes.
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Feb 26, 2021 • 5min

448: How to be a Data Science Leader

Ever wondered how to elevate your career in data science? Discover the keys to transitioning from a technical role to a leadership position. Learn about the significance of management skills and the value of continuous learning. Hear insights on gaining practical experiences that outweigh academic credentials. This discussion is packed with essential tips for aspiring data science leaders!
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Feb 25, 2021 • 58min

447: Commercial ML Opportunities Lie Everywhere

Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.In this episode you will learn: SFL Scientific [4:20] SFL’s example work [10:55] Public sector vs private sector work [20:28] Michael’s day-to-day [30:18] What is Michael looking for in the people he hires? [33:38] Michael’s career journey [41:39] What is Michael excited about for the future? [48:38] Additional materials: www.superdatascience.com/447
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Feb 19, 2021 • 7min

446: Getting Started in Machine Learning

Dive into the world of machine learning with insights tailored for beginners! Discover essential learning paths and recommended courses to kickstart your journey. The discussion also highlights the complexities of advanced concepts like support vector machines and deep reinforcement learning, emphasizing that everyone faces challenges on their learning journey. Join the hosts as they share their experiences and celebrate continuous education in this evolving field.

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