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Machine learning models play a critical role in many aspects of today’s business. The use of a predictive model can improve the business bottom line, and a slightly improved model … Read more

The implement of the point operation affect on the histogram. Raising the brightness shift the histogram to right and increasing the contrast of the image expand the histogram. These point … Read more

Dec 3, 2018 In this article you will learn how a neural network can be trained by using backpropagation and stochastic gradient descent. The theories will be described thoroughly and … Read more

Dec 3, 2018 This is the first of a series of articles in which I will describe machine learning concepts, types, algorithms and python implementations. The main goals of this … Read more

Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates Abstract: This post provides an overview of a phenomenon called “Super Convergence” where we can train a deep neural … Read more

A robot judge in Futurama was all fun and games, until COMPAS was created. The quiet revolution of artificial intelligence looks nothing like the way movies predicted; AI seeps into our … Read more

Image File Format Any images are stored in memory, raster image contain pixel values arrange in regular matrix. Conversely, vector image represent geometric objects using continuous coordinates. If you scale up … Read more

Nov 29, 2018 The rapid rise in AI applications, decreasing processor and memory costs have allowed the last decade to show incredible progress with Recommender Systems. Given their rising importance … Read more

Nov 29, 2018 TL;DR: In this article you’ll learn how to implement sequence-to-sequence models with and without attention on a simple case: inverting a randomly generated sequence. You might already … Read more

Gentle introduction on Neural Networks Nov 29, 2018 This series of posts on Neural Networks are part of the collection of notes during the Facebook PyTorch Challenge, previous to the Deep … Read more

Nov 27, 2018 In this series of articles I will explain the inner workings of a neural network. I will lay the foundation for the theory behind it as well … Read more

How art and wanting to change the world led me to data science Nov 27, 2018 Data plays a crucial role in understanding the world around us. I’ve been working with … Read more

What kind of data is there? Is it only numerical? Are there categorical features which could be incorporated into the model? Heads up, categorical features can be considered any type … Read more

Reflections on how data (or lack thereof) helps (or fails) policy makers in developing countries Foreword When I stood up to speak last Friday at the Steering Committee meeting between … Read more

Gentle introduction on Neural Networks Nov 25, 2018 This series of posts on Neural Networks are part of the collection of notes during the Facebook PyTorch Challenge, previous to the Deep … Read more

The popularization of blockchain will not depend on the users understanding its operation but on the existence of friendly and effective applications that solve real problems. Nov 22, 2018 Historically, … Read more

Nov 19, 2018 Photo by Randy Colas on Unsplash In the world of fake news and ideology-driven subjective media coverage, it is questionable which sources of journalism can be considered “reliable”. … Read more

(Photo by rawpixel on Unsplash) Nov 18, 2018 It’s A Career Change. Starting out as a data scientist may be the modern version of becoming a rock star but no-one really … Read more

Businesses from every sector are investing in a data science education programmes. Working at tech education company Decoded, I have found it fascinating to see the immense value data skills … Read more

Nov 13, 2018 A few weeks ago finished TGS Salt Identification Challenge on the Kaggle, a popular platform for data science competitions. The task was to accurately identify if a … Read more

The experiment was simple: could a machine learning (ML) model produce Golden Retriever images that people would mistake for being real? The reason for choosing dogs… was because dogs are … Read more

If you missed the 1st installement of this series, Humans vs Robots is here. Prompted by advances in Generative Adversarial Networks (GAN), a year ago I tweeted a thread about … Read more

The future of data storage What is Data? How is it stored, processed, transferred? What is the cloud? Will we eventually run out of space?! These are the questions that populated … Read more

Quantum computing is becoming visible in the tech world. There are over a dozen of hardware companies, each trying to build their own quantum computer, from small startups like Xanadu … Read more

Image Source: www.mapr.com/products/apache-hadoop/ There are many links on the web about install Hadoop 3. Many of them are not working well or need improvements. This article is taken from the … Read more

Austrian Quant The Austrian Quant is named after the Austrian School of Economics which serves as the inspiration for how I structured the portfolio. I designed a trading strategy composed … Read more

I have spent much of my career as a graduate student researcher, and now as a Data Scientist in the industry. One thing I have come to realize is that … Read more

Introduction In this series, I’ll explain how to create a chat bot that is capable of detecting sentiment, analyzing images, and finally having the basis of a evolving personality. This … Read more

Things that could go wrong, and how to diagnose if they did. Oct 24, 2018 In this article, you get to look over my shoulder as I go about debugging a … Read more

Computing the Graph With generate_dataset() and linear_regression(), we are now ready to run the program and begin finding our optimal gradient W and bias b! [line 2, 3] x_batch, y_batch = … Read more

The perplexity of a discrete probability distribution is defined as: from https://en.wikipedia.org/wiki/Perplexity where H(p) is the entropy of the distribution p(x) and x is a random variable over all possible … Read more

ALife 2018 conference, © Lana Sinapayen Prompted by a video where people thought a human was actually a hyper-realistic robot, I decided to write about how to spot humanoid robots. … Read more

Tools to shape the future In many product announcements from Google, Apple and BMW, more and more data will be overlaid in our physical environments through augmented reality or projection. That … Read more

There is a huge selection of wines on the market and as for a wine lover it is always a quest to select the best wine. US, France, Spain, Germany … Read more

First, a couple of pointers to keep in mind when searching for datasets. According to Carnegie Mellon University: 1.- A high-quality dataset should not be messy, because you do not … Read more