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…

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,…

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…

Dear Aspiring Data Scientist,

Before you start using ‘low code’ or ‘drag & drop’ data science tools, please learn the fundamentals.

Why aspire to be ‘Citizen Data Scientist’…

Machine Learning and Artificial Intelligence for Business Recovery after COVID 19

Currently, the world is facing the most challenging time and going through economic turmoil. One of the important priorities of many companies is to recover quickly from the current scenario and be operational as quickly as possible. The coronavirus has impacted many companies and this economic hit is very fast throughout the world. Companies around the globe are looking…

Summary: Since BERT NLP models were first introduced by Google in 2018 they have become the go-to choice.  New evidence however shows that LSTM models may widely outperform BERT meaning you may need to evaluate both approaches for your NLP project.

Over the last year or two, if you needed to bring in an NLP…

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…

Author: Sergey Lukyanchikov

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a…

Ever since I started following stocks again, I have been preoccupied with developing a "game plan" to help prevent me from making emotional investment decisions.  Plans can be improved.  What I have come up with so far is a stress avoidance model to study how different character types might perform in relation to the market.  Since quite a number of investors are actually algorithms - and many trades are algorithmically triggered - the concept of stress needs…