5 Probability Distributions Every Data Scientist Should Know
Probability Distributions are like 3D glasses. They allow a skilled Data Scientist to recognize patterns in otherwise completely random variables.
Convolutional Neural Networks: Python Tutorial (TensorFlow Eager API)
Convolutional Neural Networks are a part of what made Deep Learning reach the headlines so often in the last decade. Today we’ll train a CNN to tell us whether an image contains a dog or a cat, using TensorFlow’s eager API.
K Means Clustering with Dask (Image Filters for Cat Pictures)
Applying filters to images is not a new concept to anyone. We take a picture, make a few changes to it, and now it looks cooler. But where does Artificial Intelligence come in? Let’s try out a fun use for Unsupervised Machine Learning with K Means Clustering.
My First 1000 Medium Followers: A Tech Writing Journey
Are you wondering how to get Medium followers for your tech blog? Do you worry your content isn’t reaching enough people? Do you dream of that day when your analytics page of choice will display thousands upon thousands of views?
This piece is for you.
3 Machine Learning Books that Helped me Level Up as a Data Scientist
There is a Japanese word, tsundoku (積ん読), which means buying and keeping a growing collection of books, even though you don’t really read them all.
Autoencoders: Deep Learning with TensorFlow’s Eager Execution
Deep Learning has revolutionized the Machine Learning scene in the last years. Can we apply it to image compression? How well can a Deep Learning algorithm reconstruct pictures of kittens? What’s an autoencoder?
FuzzyWuzzy: How to Measure String Distance on Python
FuzzyWuzzy is a Python library used for measuring the similarity between two strings. Here’s how you can start using it too.
