Podcast #2 - Learning AI today, Cracking Kaggle Competitions, Java in Data Science ...
Mani is a polyglot in that he is known for his contribution to the Java community. He is one of the very few who started as a software engineer and turned into a data scientist. Mani has laid the foundation for quite a few AI start-ups in London by developing their early products. On top of that, he is a Kaggle Expert who started participating in Kaggle competitions very early on. In this podcast, he shares his thoughts on cracking the Kaggle competitions and learning on the go rather than learning using traditional ways. We also deep dive into Java from a data science perspective.
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0:00 Intro
1:54 - Getting started in Machine Learning/Data Science
8:14 - Cracking Kaggle Competitions
18:07 - Impact of AI on S/W development
31:10 - Java and Data Science
44:47 - Updating knowledge in Data Science
50:55 - Emergence & AI
KEY FROM THE PODCAST
Learning paths:
https://github.com/neomatrix369/learn...
https://github.com/neomatrix369/learn...
Java Resources:
https://github.com/neomatrix369/aweso...
MY KEY LINKS
YouTube: / @aibites
Twitter: / ai_bites
Patreon: / ai_bites
Github: https://github.com/ai-bites
WHO AM I?
I am a Machine Learning researcher/practitioner who has seen the grind of academia and start-ups. I started my career as a software engineer 15 years ago. Because of my love for Mathematics (coupled with a glimmer of luck), I graduated with a Master's in Computer Vision and Robotics in 2016 when the now happening AI revolution had started. Life has changed for the better ever since.
#machinelearning #deeplearning #aibites