An open source tool from Google to easily learn patterns from large amounts of data More data beats clever algorithms, but better data beats more data : Peter Norvig There has been a lot of uproar as to how a large quantity of training data can have a tremendous impact on the results of a machine learning … Continue reading Visualising Machine Learning Datasets with Google’s FACETS
A quick overview of the super useful Collections module of Python. If the implementation is hard to explain, it’s a bad idea :The Zen of Python Python is a pretty powerful language and a large part of this power comes from the fact that it supports modular programming. Modular programming is essentially the process of breaking down … Continue reading Python’s Collections Module — High-performance container data types.
Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with detecting instances of semantic objects of a certain class (such as humans, buildings or cars) in digital images and videos. With the advent of technology, … Continue reading Face Detection with Python using OpenCV
“Reading is essential for those who seek to rise above the ordinary.” — Jim Rohn Data Science is an emerging field, and everybody is trying to hone their skills to master it. People are curious about the vital ingredients needed to become a ‘good’ Data Scientist. I believe a sound understanding of statistics, good command over tools like … Continue reading My Top Five Data Science Reads of 2018
My notes from the book ‘Make your own Neural Network’ by Tariq Rashid. The neural network is a kind of technology that is not an algorithm. It is a network that has weights on it, and you can adjust these weights so that it learns. You teach it through trials — Howard Rheingold This is the second … Continue reading Demystifying Neural Networks: A Mathematical Approach (Part 2)
My notes from the book ‘Make your own Neural Network’ by Tariq Rashid. “Take inspiration from all the small things around you.”- Tariq Rashid There are some tasks which are very simple for computers but hard for humans, like multiplying millions and trillions of numbers, i.e. repetitive tasks. On the other hand, humans outperform computers fairly … Continue reading Demystifying Neural Networks: A Mathematical Approach (Part 1)