UNICEF’s Magic Box Using Open Source by Red Hat and Uber and Big Data by Facebook to Map for EmergenciesSix…
Continue ReadingA quantitative approach to investing (and profiting) with music
A quantitative approach to investing (and profiting) with music|| The Introduction ||Most consumers and investors are very familiar with the content…
Continue ReadingPermutation tests when AB testing sample size is not big enough
Permutation tests when AB testing sample size is not big enoughBefore proceeding to the essence of permutation tests, let’s review a…
Continue ReadingReal-Time Face Recognition: An End-To-End Project
Real-Time Face Recognition: An End-To-End ProjectLearn step by step, how to use a PiCam to recognize faces in real-time.1. IntroductionOn…
Continue ReadingChoosing the right Hyperparameters for a simple LSTM using Keras
Choosing the right Hyperparameters for a simple LSTM using KerasPhoto by Mika Baumeister on UnsplashBuilding Machine Learning models has never been easier…
Continue ReadingData Science Using Unsupervised Learning & Visualization of Astronomy Data
Data Science Using Unsupervised Learning & Visualization of Astronomy DataA simple visualization of a complicated data makes the science behind…
Continue ReadingUnderstanding Evolved Policy Gradients
Understanding Evolved Policy GradientsLearning to hop backwards with EPG.I work at Launchpad.AI. We have biweekly internal reading groups that focus on…
Continue ReadingDeciding optimal kernel size for CNN
Deciding optimal kernel size for CNNConvolutional Neural Networks (CNNs) are neural networks that automatically extract useful features (without manual hand-tuning) from…
Continue ReadingResidual blocks — Building blocks of ResNet
Residual blocks — Building blocks of ResNetUnderstanding a residual block is quite easy. In traditional neural networks, each layer feeds into the next…
Continue ReadingSeparable convolutions — trading little accuracy for huge computational gains
Separable convolutions — trading little accuracy for huge computational gainsTypically in convolutions, we use a 2D or a 3D kernel filter where…
Continue ReadingAn Introduction to Random Forest using the fastai Library (Machine Learning for Programmers – Part 1)
Introduction Programming is a crucial prerequisite for anyone wanting to learn machine learning. Sure quite a few autoML tools are…
Continue ReadingStock Prices Prediction Using Machine Learning and Deep Learning Techniques (with Python codes)
Introduction Predicting how the stock market will perform is one of the most difficult things to do. There are so…
Continue ReadingAn Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
Introduction Machine Learning is a fast evolving field – but a few things would remain as they were years ago.…
Continue Reading7 Types of Regression Techniques you should know!
Introduction Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling. Due to their popularity, a…
Continue ReadingA Complete Tutorial to Learn Data Science with Python from Scratch
Introduction It happened few years back. After working on SAS for more than 5 years, I decided to move out…
Continue ReadingEssentials of Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on Aug 10, 2015 and updated on Sept 9th, 2017 Introduction Google’s self-driving cars and…
Continue ReadingAn Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)
Introduction Text Summarization is one of those applications of Natural Language Processing (NLP) which is bound to have a huge…
Continue ReadingTop 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)
Introduction “Should I use GitHub for my projects?” – I’m often asked this question by aspiring data scientists. There’s only…
Continue ReadingA Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
Introduction Which algorithm do you use for object detection tasks? I have tried out quite a few of them in…
Continue ReadingWant to Become a Data Engineer? Here’s a Comprehensive List of Resources to get Started
Introduction Before a model is built, before the data is cleaned and made ready for exploration, even before the role…
Continue ReadingImproving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
Introduction Building that first model – isn’t that what we strive for in the deep learning field? That feeling of…
Continue ReadingReinforcement Learning: Introduction to Monte Carlo Learning using the OpenAI Gym Toolkit
Introduction What’s the first thing that comes to your mind when you hear the words “reinforcement learning”? The most common…
Continue ReadingVisualizing Recessions with Pandas and Three.js
Visualizing Recessions with Pandas and Three.jsJust a gif. Scroll down to the CodePen for the interactive version.How have U.S. economic recessions…
Continue ReadingDo We Feel Undervalued in the Dating Market?
Do We Feel Undervalued in the Dating Market?A Speed Dating Experiment Data AnalysisWhat influences people’s perception of choosing a dating partner?…
Continue ReadingLondon Design Festival 2018 (Part 2): Natural Language Processing
London Design Festival 2018 (Part 2): Natural Language ProcessingPart 2: Natural language processing of 11,000 tweetsIntroductionIn part 1 of this series,…
Continue Reading