Artificial Intelligence in Plain English
New AI, ML and Data Science articles every day.

Discover the dark side of artificial intelligence

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Image source: author.

Today, we rely on artificial intelligence for everything. It helps us choose TV shows and make business decisions. Artificial intelligence works well with large amounts of information, optimizes processes, detects fraud, and creates new drugs. But from an ethical standpoint, AI poses more questions than it answers.

10 Ethical AI Issues

We will not talk about how creating artificial intelligence systems is challenging from a technical point of view. This is also an issue, but of a different kind.


Artificial Intelligence has been developing so rapidly, that technologies such as the one shown above are not as far off as people believe.

By Zachary Galante — Senior Data Science Student at Bryant University

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Photo by Maximalfocus on Unsplash

Artificial Intelligence has been developing so rapidly, that technologies such as the one shown above are not as far off as people believe. It brings along the opportunity to impact humanity in both a positive and negative way. Looking back 20 years, the idea of a fully self driving car seemed crazy but we are closer to that achievement than ever. This is not the only field that could ultimately have a tremendous impact on the human race.


Overfitting | Less Data | Data Simulation — Solution is CV

Cross validation is one of the things which can be used to make your training of model more reliable with the given data. It is also known as rotation estimation or out of sample testing. You will understand in a while why is it so!

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Cross validation or simply CV can also be referred as out of sample testing or rotation sampling. Once you have model which is not generalizing better with test data or in other words, we can say model is overfitting. So, it means you have less data for model to learn and converge. And, solution is…


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Image Source: Author

Python is well-established as the go-to language for data science and machine learning, partially thanks to the open-source ML library PyTorch.

  • What is PyTorch?
  • Why use PyTorch?
  • PyTorch Basics
  • Computation…


To avoid chaos, things must be balanced

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Photo by Chris Liverani on Unsplash

In this blog post, we’ll discuss Class Imbalance Problem in machine learning, what causes it and how to overcome it. From my experience of attending interviews, interviewers ask at least one scenario based question on class imbalance, widely being how to handle class imbalance?


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Photo by Volkan Olmez on Unsplash

When we think of an image, it's almost natural to think of a two-dimensional (2-D) representation right? Well, in reading the previous sentence carefully, ‘almost’ is the keyword.


When GME goes up, the market goes down. Read on!

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Figure made by the author.

Disclaimer: This is a short article and does not intent to provide financial advice or to suggest anything whatsoever.

Introduction

Recently there is a lot of noise around GME, reddit and the stock market.


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Photo by Pang Yuhao on Unsplash

Artificial Intelligence (AI) has already made an impression on higher education. And like businesses in many industries, educators and administrators are cautiously evaluating the pros and cons of AI applications.

AI and Higher Education Workflows

AI can bring about significant changes to how administrative processes are handled at higher Ed institutions. The objective of AI improvements is a…


A Powerful Supervised Machine Learning Algorithm

k-Nearest Neighbor classification example for k=3 and k=7
k-Nearest Neighbor classification example for k=3 and k=7
Photo by Sarang Anil Gotke on Kdnuggets

kNN is one of the simplest yet powerful supervised ML algorithms. It is widely used for classification problems as well as can be used for regression problems. The data-point is classified on the basis of its k Nearest Neighbors, followed by the majority vote of those nearest neighbors; a query point is assigned the data class which has the most representatives within the nearest neighbors of the point.


Using Machine Learning to Enhance Decision Making

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Photo by Markus Spiske on Unsplash

Data at scale. What does this term mean? The term “Data at Scale” refers to moving from a small repository to large repository by increasing volume of data and retaining tools and usage.

Decision Support with Artificial Intelligence (AI)

Using data processed with algorithms for aggregating data for ingestion to…

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