Item-Based Collaborative Filtering in Python
In another post, we explained how we can easily apply advanced Recommender Systems. In this post we will provide an
How to run Recommender Systems in Python
A Brief Introduction to Recommender Systems Nowadays, almost every company applies Recommender Systems (RecSys) which is a subclass of information
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How to Do Word Level Text Generation
In the previous post we gave a walk-through example of how “Character Based Text Generation”. In this post we will
Basic Examples of Anaconda Environments
This post is a gentle introduction about Anaconda Environments which is like the “Docker” of the Machine Learning projects. It
How to Do Character Level Text Generation
Today, we will provide a walkthrough example of how you can apply character based text generation using RNN and more
Iteration vs Reduce vs Recursion vs Memoization in R
Today, we are going to introduce and compare some concepts of Functional Programming like “Reduce”, “Recursion” and “Memoization” taking as
YOLO: Object Detection in Images and Videos
NB: YOLO–> You Only Look Once! In another post we explained how to apply Object Detection in Tensorflow. In this
Computer Vision: Face Detection in OpenCV
This post is a practical example of how we can use OpenCV with Python for detecting faces in a video.
Bookmaker’s Margin in Multiple Bets
In the previous post we explained how to calculate the Bookmaker’s Margin for a single bet. Now, we are going
Dplyr Pipes In Python Using Pandas
One of the advantages of R is the data manipulation process using the dplyr library. It has a fast, easy
Bookmaker’s Margin and Arbitrage Betting
Calculate Bookmaker’s Margin Betting companies are making a great profit due to their margins, which means that the gambler is
