Aren’t these “new” AI features impractical? — A data scientist’s rant.When Technology’s Hype Outpaces Its Practicality.Aug 151Aug 151
Published inTowards AIBuilding Blocks of Transformers: AttentionThe Borrower, the Lender, and the Transformer: A Simple Look at AttentionMar 281Mar 281
Published inTowards AISimplifying Decorators in Python | A step-by-step approach.Python is one of the simpler languages that we can learn these days. However, despite being the simplest one, it still has a few areas that…Jan 61Jan 61
Making Sense of PyTorch’s to(device) and map_location.Why are there two different approaches to do the same thing? When is one approach better than the other?Aug 26, 2023Aug 26, 2023
NLP -01: Demystifying Regular Expressions | RegEx guide for beginners.One of the most underrated skills any data professional should have when working with stringsAug 5, 2023Aug 5, 2023
Published inTowards AIMachine Learning Roadmap: Community Recommendations 2023RoadMapsJul 14, 20231Jul 14, 20231
Published inTowards AIData Lifecycle in Production: Defining and Collecting useful data.How do we determine the criteria for “good” and “useful” data? Where can we collect the data from? How much data should we collect?Jun 24, 2023Jun 24, 2023
Published inTowards AIMachine Learning Roadmap — Part 1: Personal Recommendations for BeginnersThink of it as starting out as a level 1 character. Try to understand the basic game mechanics, the environment and your allegiance. As y...Jun 14, 2023Jun 14, 2023
Published inTowards AIGenerating adversaries for CNNs: My cat is a goldfish, so don’t tax it.Adversarial Machine learningMar 13, 2023Mar 13, 2023
Published inTowards AIHow to Start Your Data Journey? | Results from LinkedIn PollsSomeone trying to start their ML journey would be confused about where to start. There are thousands of roadmaps in the world, some…Mar 5, 2023Mar 5, 2023
