Top 20 Data Science unpopular opinions
On the popularity of unpopular opinions in data science
Read moreDeep Learning, NLP, NMT, AI, ML
Python tutorials
On the popularity of unpopular opinions in data science
Read moreExploring Coursera Course Dataset by performing EDA. The hype surrounding “DATA” Companies worldwide have been spending big bucks on Data, in the United States alone, BDA (Big Data Analytics) spending touched
Read moreHere are some of the ways you can discover your data processing jobs are too slow: Jobs start getting killed when they hit timeouts. Customers start complaining about slow or failed jobs. Your cloud computing bill is twice what it was last month. While these notification mechanisms do work, it’s probably best not to rely on them. Life is easier when jobs finish successfully, customers are happy, and you have plenty of money left over in your budget. That means […]
Read moreThe Art of Human-Machine Language
Read moreFigure 1 — HIMYM Spanish subtitles
Read moreAbout a week ago, OpenAI released a new AI model that can transcribe speech with 50% fewer mistakes than previous models. The new model, called Whisper, works well with different accents, noise in the background, and technical language. The models (there are 5) have been trained on 680,000 hours
Read moreThe Python str class has many useful features that can help you out when you’re processing text or strings in your code. However, in some situations, all these great features may not be enough for you. You may need to create custom string-like classes. To do this in Python, you can inherit from the built-in str class directly or subclass UserString, which lives in the collections module. In this tutorial, you’ll learn how to: Create custom string-like classes by inheriting […]
Read moreWe’ve all heard about word embedding in natural language processing, which is a term used for the representation of words for text analysis, typically in the form of a real-valued vector that encodes the meaning of the word such that the words that are closer in the vector space are expected to be similar in meaning.
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