Towards Data Science

Our Readers’ Guide We have received feedback that some of you find it difficult to efficiently navigate our Medium publication. So we have put together a few bullet points that will … Read more

we are going to have a quick look at the architecture of four different state-of-the-art approaches by referring to the actual research paper and then we will move on to … Read more

RNNs have inherent performance limitations For a while, it seemed that RNN’s were taking the Natural Language Processing (NLP) world by storm (from about 2014–17). However, we’ve recently started realizing … Read more

Machine Learning is the science (and art) of programming computers so they can learn from data. [Machine Learning is the] field of study that gives computers the ability to learn … Read more

Data science is a booming field, but with great publicity comes great difficulty. Breaking into the data science field gets twice as hard each year. The growth of training programs … Read more

The Electric Pulse Thomas Parker Electric Car (1895) | Fisker Karma (2012) The credit to who invented the first electric vehicle is also debated due to the fact that many scientists and … Read more

The Kernel Trick We have seen how higher dimensional transformations can allow us to separate data in order to make classification predictions. It seems that in order to train a support … Read more

User review networks for customer segmentation Over the past decade or two, Americans have continued to prefer payment methods that are traceable, providing retailers and vendors with a rich source … Read more

Computer Vision it at the forefront of advancements in Artificial Intelligence (AI). It’s moving fast with new research coming out each and every day allowing us to do truly amazing … Read more

50 ways to label data There are different ways to get your data labeled. Some firms label their data themselves — although this can be costly, as hiring people simply for these tasks … Read more

The debate of whether AI will ever achieve capabilities at par or beyond human intelligence is ever ongoing. It certainly has intensified with the recent advancements in AI, Machine Learning … Read more

https://initiatives.provost.uci.edu/event/philosophy-machine-learning-knowledge-causality/ I quit my job to enter an intensive data science bootcamp. I understand the value behind the vast amount of data available that enables us to create predictive machine … Read more

In this post, I’m going to review some of the top concepts I learned that turned me from a technical data scientist to a good data scientist Two months ago, … Read more

The AI future is uncertain, but generally, I think it will improve life. I was one of the 900+ futurists interviewed for The Pew Research study released yesterday, “Artificial Intelligence and … Read more

An explanation of Bayes’ theorem and linear discriminant analysis Photo by Jerry Kiesewetter on Unsplash Overview Previously, logistic regression was introduced for classification. Unfortunately, like any model, it presents some flaws: … Read more

The Undertaking Recently, I was involved in developing a machine learning solution for one of the largest North American steel manufacturers. The company wanted to leverage the power of ML … Read more

Select the probability threshold based on the ROC curve BigQuery provides an incredibly convenient way to train machine learning models on large, structured datasets. In an earlier article, I showed you … Read more

Q: How does a data scientist manage projects and teams? How do you make duration and resource estimations? These are great questions, and I think people don’t ask them enough, … Read more

A series of insights and battle scars from the world of medical device design With the upcoming launch of one of our AI products, there has been a repeating question that … Read more

Key Points of My Work Disclaimers: I will present only a portion of the code I wrote for this competition, my teammates are absolutely not responsible for my awful and buggy … Read more

You’ve heard a lot about student debt, but what about technical debt? It’s Friday evening in the Bahamas. You’re relaxing under a striped red umbrella with a succulent glass of … Read more

From silver bullet syndrome to silver linings In this article I plan to share with you our recent experience pitching AI to business folk, and what lessons we learned along the … Read more

During my training classes, after/during discussion on the common machine learning models I will usually bring up a topic and that is the usage of insights from these models or … Read more

Reducing Costs By Improving Processes Our team was recently asked how data analytics and data science can be used to improve bottlenecks and patient flows in hospitals. Healthcare providers and … Read more

Questions related to this repository from a project I created almost three years ago are among the most numerous questions I receive. The repository itself is really nothing too special, … Read more

A walk-through of implementing AlphaZero using custom TensorFlow operations and a custom Python C module I describe here my implementation of the AlphaZero algorithm, available on Github, written in Python with … Read more

Dec 8, 2018 Photo by Alina Grubnyak on Unsplash Graphs provide us with a very useful data structure. They can help us to find structure within our data. With the advent … Read more

What should I expect before a round of the popular drinking game? Recommended equipment for Ride The Bus College. It’s a time for things like exploring your personality, finding your values, … Read more

The intersection of Chemistry and A.I A.I has seen unprecedented growth in the past couple years. Although machine learning architectures like Neural Networks (NN) have been known for a long time … Read more

Want to be an Eagle or Kaggle data scientist ? There is no doubt that Kaggle is a great place to learn data science. There are many data scientists who invest … Read more

2. Logistic Regression Just like linear regression, Logistic regression is the right algorithm to start with classification algorithms. Eventhough, the name ‘Regression’ comes up, it is not a regression model, … Read more

In our very first section, we’ll become familiar with the concept of AI by looking into its definition and some examples. As you have probably noticed, AI is currently a … Read more

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