Infinite ML with Prateek Joshi

156 Episodes

1. Demetrios Brinkmann and Vishnu Rachakonda on how they built the world's largest online hub for production Machine Learning practitioners

   Published: 5/16/2022
2. What's new in ML: Prateek Joshi talks about brain computer interface, nanomagnetic computing, counting microplastics using Machine Learning, quantum tunneling memory, wine reviews written by AI, spott

   Published: 5/12/2022
3. Thom Ives on his AI journey, creating educational content, establishing online presence, building a portfolio of machine learning projects, preventing burnout, how growth happens through cycles, story

   Published: 5/9/2022
4. What's new in ML: Prateek Joshi talks about generative AI, enzyme that can break down plastic quickly, nuclear fusion, low-carbon concrete, synthesizing molecules, object detection, few-shot learning.

   Published: 5/5/2022
5. Tushar Gupta on the step-by-step process of getting a tech book published, identifying topics for books, the process of writing, and trends in machine learning books.

   Published: 5/2/2022
6. Richad Nieves-Becker on doing academic vs business work in data science, why sales skills are important for data scientists, how to define tractable problems, the advantage of modular products, rise o

   Published: 4/28/2022
7. Matt Kirk on quantitative economics, data science, writing books, being a zen student, surviving cancer, and using the pomodoro technique.

   Published: 4/25/2022
8. Che Sharma on experimentation, storytelling, reusable components, creating customer empathy, and data communities.

   Published: 4/21/2022
9. Pedram Navid on data activation, how data can get political, reverse ETL, and how data practitioners should forge alliances.

   Published: 4/18/2022
10. Amir Feizpour on building online communities, knowledge discovery, doing research, data science culture, and coaching.

    Published: 4/14/2022
11. Margaretta Colangelo on how she entered the world of AI, using AI in healthcare, 2021 milestones, cancer research, AI-power drug discovery, the process of writing, and building a career.

    Published: 4/11/2022
12. Denis Rothman on how he entered the world of AI, what is metahuman AI, the importance of practice in machine learning, why use transformers, working with customers, interviewing people, and thriving a

    Published: 4/7/2022
13. Andrew Berry on teaching data science, designing courses, preparing data scientists for jobs, and building a career.

    Published: 4/4/2022
14. Emilie Schario on entering the world of data science, looking for jobs, working with customers, managing teams, interviewing people, and building a career.

    Published: 3/31/2022
15. Mihail Eric on how he entered the world of machine learning, the role of educational platforms in ML, working with customers, managing teams, interviewing people, and thriving at work.

    Published: 3/24/2022
16. Alexey Grigorev on how to enter the world of machine learning, learning data science, running a data community, writing books, doing projects, interviewing people, and how to be a successful professio

    Published: 3/16/2022