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,…
ContinueAdded by Stephanie Glen on September 30, 2020 at 3:00pm — No Comments
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…
ContinueAdded by Andrea Manero-Bastin on September 30, 2020 at 11:00am — No Comments
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…
ContinueAdded by Andrea Manero-Bastin on September 30, 2020 at 11:00am — No Comments
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…
ContinueAdded by Selcuk Disci on September 30, 2020 at 10:00am — No Comments
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…
ContinueAdded by Vincent Granville on September 28, 2020 at 9:19am — No Comments
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…
ContinueAdded by Vincent Granville on September 27, 2020 at 1:00pm — No Comments
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…
ContinueAdded by Don Philip Faithful on September 26, 2020 at 1:30pm — 1 Comment
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…
ContinueAdded by Maulik Pandya on September 25, 2020 at 10:00pm — No Comments
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…
ContinueAdded by ajit jaokar on September 25, 2020 at 2:00pm — No Comments
In my first post on correlation coefficients, I outlined the differences between five popular coefficients: Pearson's,…
ContinueAdded by Stephanie Glen on September 25, 2020 at 10:00am — No Comments
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…
ContinueAdded by ajit jaokar on September 24, 2020 at 11:00am — No Comments
C++ is ideal for dynamic load balancing, adaptive…
ContinueAdded by Sharmistha Chatterjee on September 24, 2020 at 8:30am — 2 Comments
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’…
ContinueAdded by Venkat Raman on September 24, 2020 at 12:00am — No Comments
Artificial Intelligence (AI) seems to be seeping into every aspect of our life with AI-powered solutions positively changing tech and trade, healthcare, education and even our personal everyday life. On the daily, we are challenging the usual order of things by automating the mundane routine work and having smart devices assist us with our tasks. The shift to smart technologies and intelligent workspaces goes even beyond…
Added by Tetiana Mykhailyk on September 23, 2020 at 2:00am — No Comments
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…
ContinueAdded by Siddhaling Urolagin on September 22, 2020 at 9:30pm — No Comments
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…
Added by William Vorhies on September 21, 2020 at 12:00pm — No Comments
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…
ContinueAdded by Vincent Granville on September 20, 2020 at 3:30pm — No Comments
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:
Added by Sergey Lukyanchikov on September 20, 2020 at 12:30pm — No Comments
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…
ContinueAdded by Don Philip Faithful on September 20, 2020 at 11:08am — No Comments
Added by Diego Lopez Yse on September 19, 2020 at 2:00pm — No Comments
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