Infinite ML with Prateek Joshi

152 Episoder

1. 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.

   Udgivet: 2.5.2022
2. 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

   Udgivet: 28.4.2022
3. Matt Kirk on quantitative economics, data science, writing books, being a zen student, surviving cancer, and using the pomodoro technique.

   Udgivet: 25.4.2022
4. Che Sharma on experimentation, storytelling, reusable components, creating customer empathy, and data communities.

   Udgivet: 21.4.2022
5. Pedram Navid on data activation, how data can get political, reverse ETL, and how data practitioners should forge alliances.

   Udgivet: 18.4.2022
6. Amir Feizpour on building online communities, knowledge discovery, doing research, data science culture, and coaching.

   Udgivet: 14.4.2022
7. 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.

   Udgivet: 11.4.2022
8. 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

   Udgivet: 7.4.2022
9. Andrew Berry on teaching data science, designing courses, preparing data scientists for jobs, and building a career.

   Udgivet: 4.4.2022
10. Emilie Schario on entering the world of data science, looking for jobs, working with customers, managing teams, interviewing people, and building a career.

    Udgivet: 31.3.2022
11. 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.

    Udgivet: 24.3.2022
12. 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

    Udgivet: 16.3.2022