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
About Guest: ------ Bhawana grew up in the Terai region of Nepal noticing the gender-based differences within her community and the impact of systemic gender barriers on girls like her. Thus at the age of 18, she began her career as a journalist in pursuit of social change but switched careers in 2013 to spend three years as a Teach for Nepal fellow in a community school in Nepal. Currently, she is pursuing a Ph.D. in educational leadership at Kathmandu University where she is exploring how critical self-reflection helps nurture emotional intelligence among educators. Also through her organization My Emotions Matter, Bhawana is dedicated to helping individuals and teams develop the mindset and skills for emotional intelligence. She is mostly found researching, writing academic papers, and poems, designing lesson plans, facilitating sessions, reading, watching movies, gardening, and solo travels to new places. About Host: -------- Sanjib Lamichhane Send me a message: https://bit.ly/3cbxj2q ----------------- Timestamp: 00:00 - Intro -------------- Download Audio Podcast: Download givingBack Podcast wherever you get your podcasts. Apple Podcast: https://apple.co/3ACuvoj Spotify: https://open.spotify.com/show/473BXym... ------- Please drop a comment telling us how you like the podcast. You can let us know how we can make it better for you and even suggest new topics you’d like to be discussed or even better -- suggest a guest! Hmm.. not feeling like dropping a comment. Here's an anonymous survey you can fill out. We do not need your name and email. https://bit.ly/3ADfOBq === Thanks for supporting us. Subscribe to us whenever you get your podcast. Visit www.givingBack.ai for more information. ===