Word Embeddings: word2vec and GloVe, Explained
Computers are brilliant at arithmetic and hopeless at meaning. To a raw program, “cat” and “dog” …
Abhay
5 min read
Computers are brilliant at arithmetic and hopeless at meaning. To a raw program, “cat” and “dog” …
Abhay
5 min read
Object detection draws a box around the cat. Image segmentation traces the cat. Every whisker, every paw, the awkward …
Abhay
4 min read
Every few years, someone declares that deep learning has finally conquered tabular data and the boring old …
Abhay
4 min read
Most machine learning is about finding the haystack: the patterns that repeat, the trends that hold, the average …
Abhay
5 min read
There’s a student we all remember from school: the one who memorised every answer in the textbook, aced the …
Abhay
4 min read
Your regression model spits out a number. The true answer is a different number. The gap between them is the error — and …
Abhay
4 min read
Ask a thousand strangers to guess the number of jelly beans in a jar and something faintly magical happens: the average …
Abhay
4 min read
A modern language model is a bit like a grand piano: magnificent, capable of extraordinary things, and an absolute …
Abhay
4 min read
Imagine a forger and a detective locked in a room together, with a single rule: neither leaves until one of them is …
Abhay
4 min read
Before you reach for a fancy model, ask yourself one boringly important question: am I predicting a label or a number? …
Abhay
4 min read