Startup Data Science is the podcast where you learn startup-ready data science with programming basics. We discuss how to bootstrap data science techniques and understand their underlying mechanics by discussing open-source learning materials. Startup Data Science helps forward-thinking entrepreneurs, novice programmers, and seasoned software engineers to use Data Science to make a bigger impact.
Alex gives a quick recap of Lesson 5, using embeddings with imdb review data to categorize movies into clusters using Natural Language Processing (NLP...
Alex is excited about collaborative filtering and he could see using it in his startup to help people unlearn toxic behaviors and beliefs in a product...
Apurva loved Jeremy's presentation using Excel to show how calculations are being made; it was a great confidence-building exercise for her to replica...
Alex thinks dropout is cool. He's still not quite sure what batch normalization is. Regarding ImageNet competition, Apurva, along with offering tips t...
Alex promises to do 20 min. of Data Science every day to keep making progress. Edderic learns that Apurva hasn't submitted the Cats and Dogs Kaggle su...
Apurva feels impressed because for complex tasks like image classification, "simple" things like linear regression is sometimes good enough. Alex and ...
Alex Au, Apurva Naik, and Edderic Ugaddan discuss the first part of Lesson 2 of Practical Deep Learning for Coders. Apurva and Alex talks about feelin...
Alex Au, Apurva Naik, and Edderic Ugaddan discuss what it's like to go through the setting up for AWS instance so that they could run the 7 lines of c...
Apurva Naik, Alex Au, and Edderic Ugaddan discuss the first half of the Lesson 1 of Practical Deep Learning for Coders (http://course.fast.ai/lessons/...
In Episode 0, Alex Au, Apurva Nalik, and Edderic Ugaddan introduce themselves, talk about their background, why they wanted to get into Data Science, ...