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Data Science & Machine Learning - Baivab Pokhrel | givingBack Podcast w/Sanjib Lamichhane #30

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Manage episode 327441788 series 3121825
Content provided by givingBack नेपाली Podcast and GivingBack नेपाली Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by givingBack नेपाली Podcast and GivingBack नेपाली Podcast 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.

Video Podcast:

https://www.youtube.com/watch?v=lUkifSQFlCw&ab_channel=givingBack

Timestamps:

00:00 | Intro

02:17 | Transition to a job from an internship

03:13 | Associate Data Scientist

03:38 | CS Skills in Data Science

04:55 | Bridging the gap between CS and DS

06:18 | Projects

08:00 | Real-life examples and tools

09:06 | Supervised & Unsupervised Learning

11:35 | Linear & Logistic Regression

15:25 | Variables

18:00 | Precision

18:26 | Messy Data!?

19:31 | Selecting Features

21:20 | Data dealt by Companies

24:12 | Training

26:30 | Life at IBM

30:00 | Recommendation System

31:47 | Software Engineering and ML Algorithms

33:35 | Testing a Model

36:00 | Biasness and Outliers

39:11 | ML, AI, and Deep Learning

43:00 | Cloud & Big Query

46:15 | Resources

--- Support this podcast: https://podcasters.spotify.com/pod/show/givingbackpodcast/support
  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 327441788 series 3121825
Content provided by givingBack नेपाली Podcast and GivingBack नेपाली Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by givingBack नेपाली Podcast and GivingBack नेपाली Podcast 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.

Video Podcast:

https://www.youtube.com/watch?v=lUkifSQFlCw&ab_channel=givingBack

Timestamps:

00:00 | Intro

02:17 | Transition to a job from an internship

03:13 | Associate Data Scientist

03:38 | CS Skills in Data Science

04:55 | Bridging the gap between CS and DS

06:18 | Projects

08:00 | Real-life examples and tools

09:06 | Supervised & Unsupervised Learning

11:35 | Linear & Logistic Regression

15:25 | Variables

18:00 | Precision

18:26 | Messy Data!?

19:31 | Selecting Features

21:20 | Data dealt by Companies

24:12 | Training

26:30 | Life at IBM

30:00 | Recommendation System

31:47 | Software Engineering and ML Algorithms

33:35 | Testing a Model

36:00 | Biasness and Outliers

39:11 | ML, AI, and Deep Learning

43:00 | Cloud & Big Query

46:15 | Resources

--- Support this podcast: https://podcasters.spotify.com/pod/show/givingbackpodcast/support
  continue reading

38 episodes

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