Sign up to save your podcasts
Or
Share Machine Learning Engineered
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Machine Learning Engineered
Machine Learning Engineered episodes
- Peiyuan Liao: The 20 Year-Old Kaggle GrandmasterPeiyuan discusses his research in graph adversarial networks at CMU, how he climbed the Kaggle ranks to become the youngest Chinese Grandmaster, and tips for aspiring Kagglers.1 hr 16 min
- Shreya Shankar: Lessons learned after a year of putting ML into productionShreya discusses what she's learned in the past year about making ML useful by putting into production. She touches on strategies for ensuring reproducibility, feature engineering best practices, and her checklist for building AI-driven systems.1 hr 24 min
- Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in ProductionJosh discusses his research in ML for robotics at OpenAI, why putting ML into production is so hard, and how he things ML systems will be built in the future.1 hr 10 min
- Sanyam Bhutani: Chai Time Data ScienceSanyam talks about teaching himself ML during college, blogging, creating the Chai Time Data Science Show, and working at H2O.ai1 hr 29 min
- Devon Bernard: "If you can sell it, I can build it"Devon talks about how he built an app that blew up to over 500k users, best practices for engineering and consulting, and startup mega-trends.1 hr 43 min
- Catherine Yeo: Fairness in AI and AlgorithmsCatherine Yeo discusses AI and algorithmic fairness—what it is, why it matters, and how we can work to reduce biases in our own models.1 hr 4 min
- Charles Yang: Machine Learning for Scientific ResearchCharles discusses the breakthrough results ML has produced in scientific research, how both traditional scientists and ML researchers can get involved, and gives an unexpected answer to a rapid fire question.1 hr 27 min
- swyx (Shawn Wang): Coding Career Strategyswyx discusses learning in public, betting on technologies, his own move to AWS, and other subjects in his new book The Coding Career Handbook.51 min
- Solocast: Learning Machine LearningCharlie talks about getting his start in programming and machine learning, what he would do differently, and why he started this podcast.37 min
- Karthik Suresh: Advice for Computer Science StudentsKarthik and Charlie give advice for computer science students, discuss working at big companies vs startups, and trends in fintech.1 hr 14 min
About Machine Learning Engineered
From the publisher's feed
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and…
software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.