Show notes
Video Podcast:https://www.youtube.com/watch?v=lUkifSQFlCw&ab_channel=givingBackTimestamps: 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
