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Alexey Grigorev (OLX Group) - Product-oriented data science (#9)

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Manage episode 276999410 series 2813225
Content provided by Lior Barak and Michael Stiller, Lior Barak, and Michael Stiller. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lior Barak and Michael Stiller, Lior Barak, and Michael Stiller or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Michael and Alexey Grigorev talk about Product-oriented data science, How to start a data science project? How to make sure we're building the right thing? and more in a super interesting episode from the side of the data scientist and how he see things working.
Alexey thinks Data is important because it's the ultimate truth and he still eats chips for lunch.
If you wish to learn more, Alexey was kind to generate a unique discount with his publishing house giving you a 35% discount code (good for all our products in all formats): podwtd20

You can refer to this link: http://mng.bz/V8Dr

Alexey was also kind to share with us five codes for his book "Machine Learning Bookcamp
Build a portfolio of real-life projects" you can get your free copy by the following form: https://forms.gle/UdfmBrkBcs9Z7cdS6

  continue reading

Chapters

1. Alexey Grigorev (OLX Group) - Product-oriented data science (#9) (00:00:00)

2. Hello (00:00:24)

3. Gray area around data science (00:03:55)

4. Sync data scientists (00:07:18)

5. How you decide what is data science project? (00:10:44)

6. How to use a data scientist? (00:13:42)

7. How to win against recommendation engine? (00:17:24)

8. What the organization care about? (00:20:04)

9. How can become a specialist (00:23:45)

10. Always ask WHY (00:26:46)

11. We have five give away of Alexey's book (00:30:11)

12. Code or math what is more important? (00:35:09)

13. How to evaluate the level of data scientist? (00:43:15)

14. How did you decided to be a data scientist? (00:46:45)

15. It's a wrap thanks Alexey! (00:49:39)

23 episodes

Artwork
iconShare
 
Manage episode 276999410 series 2813225
Content provided by Lior Barak and Michael Stiller, Lior Barak, and Michael Stiller. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lior Barak and Michael Stiller, Lior Barak, and Michael Stiller or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Michael and Alexey Grigorev talk about Product-oriented data science, How to start a data science project? How to make sure we're building the right thing? and more in a super interesting episode from the side of the data scientist and how he see things working.
Alexey thinks Data is important because it's the ultimate truth and he still eats chips for lunch.
If you wish to learn more, Alexey was kind to generate a unique discount with his publishing house giving you a 35% discount code (good for all our products in all formats): podwtd20

You can refer to this link: http://mng.bz/V8Dr

Alexey was also kind to share with us five codes for his book "Machine Learning Bookcamp
Build a portfolio of real-life projects" you can get your free copy by the following form: https://forms.gle/UdfmBrkBcs9Z7cdS6

  continue reading

Chapters

1. Alexey Grigorev (OLX Group) - Product-oriented data science (#9) (00:00:00)

2. Hello (00:00:24)

3. Gray area around data science (00:03:55)

4. Sync data scientists (00:07:18)

5. How you decide what is data science project? (00:10:44)

6. How to use a data scientist? (00:13:42)

7. How to win against recommendation engine? (00:17:24)

8. What the organization care about? (00:20:04)

9. How can become a specialist (00:23:45)

10. Always ask WHY (00:26:46)

11. We have five give away of Alexey's book (00:30:11)

12. Code or math what is more important? (00:35:09)

13. How to evaluate the level of data scientist? (00:43:15)

14. How did you decided to be a data scientist? (00:46:45)

15. It's a wrap thanks Alexey! (00:49:39)

23 episodes

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