If you're in the beginning stages of your data science credential journey, you're either about to take (or have taken) a probability class. As part of that class, you're introduced to several different probability distributions, like the binomial distribution,…

This article was written by Harshvardhan Gupta. 

Data driven algorithms like neural networks have taken the world by storm. Their recent surge is due to several factors, including cheap and powerful hardware, and vast amounts of data. Neural Networks are currently the state of the art when it comes to ‘cognitive’ tasks like image recognition, natural language understanding , etc. ,but they don’t have to be limited to such tasks. In this post I will discuss a way to…

This article was written by Fjodor Van Veen. 

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first.

So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these…

It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data often expose to serial correlation. In this article, we will compare k nearest neighbor (KNN) regression which is a supervised machine learning method, with a more classical and stochastic process, autoregressive integrated moving average (ARIMA).

We will use the monthly prices of refined gold futures(XAUTRY) for one gram…

ERP implementations demand plenty of investment in terms of finances and human resources. Good ERP implementations also demand regular support in order to keep the flow going. In case of Microsoft Dynamics 365 ERP and CRM, Dynamics 365 Support for Finance & Operations and Microsoft Dynamics 365…

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious…

After more than 10 years being involved with Data Science Central, initially as the founder, and most recently being acquired by TechTarget, I have decided to pursue new interests. TechTarget now has a great team taking care of DSC, and I will still be involved as a consultant to make sure that everything continues to run smoothly and that the quality standards are maintained and even enhanced. In my new role, I will…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcement…

In this blog, I will be covering some charts based on the technical data of three major stock market corrections: the Crash of 1987, Dot-com Correction of 2000, and the Great Crash of 1929.  By technical data, I mean that the charts are produced using stock market prices.  More than a month ago, I wrote about opening my first stock trading account in 1987; this is the same year I was hired for my first regular full-time job.  I worked as a store clerk on Bay…

Artificial Intelligence (AI) is one of the best recognized and most visible technologies in this time of science and technology. It allows accomplishing the task in less time more reliably and consistently. This innovative technology enables you to simplify your activities, thinking skills, speed the process, and make the traditional system more genius.

AI is a technology that, if used in the proper…

This blog continues from GPT3 and AGI: Beyond the Dichotomy – Part One

GPT3 and AGI

Let’s first clarify what AGI should look like

Consider the movie ‘Terminator’

When the…

In my first post on correlation coefficients, I outlined the differences between five popular coefficients: Pearson's,…

Big data, huh? No matter where you look, there it is! And this seeming omnipresence is not without reason, i.e., the technology does indeed play a vital role in the world today. Defined as an amalgamation of different tools to gather and closely analyze data, big data delivers highly valuable insights and analysis. As you can imagine, this ability has made it highly beneficial to, well, literally every industry and business on the face of Earth. That holds for the manufacturing industry…

Blockchain has been one revolutionary tech that has grown manifolds in the last decade, in fact, it has been named as the second-most breakthrough technology been invented after the advent of the internet. The said technology came into prominence when the first bitcoin transaction took place on January 12, 2009. Since then, there has been no looking back, and the blockchain tech has only evolved to make further disruptions across business sectors, besides fintech.…

Reliance on data is increasing across all industries. Whether it’s a retail chain or an education company functioning in the k-12 or secondary level space, how we measure the outcome of learning, student performance, teacher prowess, and school performance is built on data-driven techniques. The course of action in education across many schools and colleges now is highly dependent on data. But is the data-driven approach to education, to measure the…

Here is our selection of featured articles and resources posted since Monday:

Announcement

• Accelerating AI and ML Projects with Graph Algorithms - Virtual conference

Resources

• Most Useful C/C++ ML Libraries Every Data Scientist…

Background

Earlier this week, I spoke at an interesting online event organized by Khaleej times in the UAE (UAE’s longest running daily English newspaper).

This two-part blog is based on the talk. I addressed a hard topic – and one which I hope sparks some…

Importance of C++ in Data Science and Big Data

Introduction and Motivation – Why C++

C++ is ideal for dynamic load balancing, adaptive…

Humans have to test AI solutions to judge their efficacy and benefits.

There is much consternation nowadays regarding the inevitable loss of millions of jobs to AI. Often the doom and gloom revolve around robotics and automation of repetitive tasks taking over everything from warehouse operations to decision making. Our experience tells us something different. Although it is true that robots in warehouses don’t run out of energy and process automation doesn't "do…