Blog2020-08-24T18:23:35+01:00

Platforms to practice Machine Learning skills

Google Colab:  Google Colaboratory or “Colab” for short, is a product from Google Research. Google Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Google Colaboratory is a platform built on top of the Read More >>

By |December 4, 2020|

Python Framework for Data Science

  There are several python frameworks for data science. In this article, we will examine the popular ones. PyTorch: PyTorch is a framework that is perfect for data scientists who want to perform deep learning tasks easily. The tool allows us to perform tensor computations with GPU acceleration. It's also Read More >>

By |December 2, 2020|

AI is transforming the Health sector

It’s no longer fiction that artificial intelligence is transforming healthcare, Just like in our every-day lives, AI and robotics are increasingly a part of our healthcare ecosystem. AI in healthcare refers to doctors and hospitals accessing vast data sets of potentially life-saving information. This includes treatments and their outcomes, rate Read More >>

By |November 30, 2020|

Data Visualization and It’s importance

Data visualization is essential to analyze massive amounts of information and make data-driven decisions. Data Visualization involves producing images that communicate relationships among the represented data to viewers of the images. By using visual elements like charts, graphs and maps. Data visualization tools provide an accessible way to see and Read More >>

By |November 27, 2020|

Where to learn data science online?

Data Science courses flood the internet at a very high price and some of  them ain't worth it. In this article, I curated a list of platforms that teach data science online at a little or zero price. DataCamp: DataCamp is one of the top platforms to learn data science Read More >>

By |November 25, 2020|

Risks of Artificial Intelligence

As everything that is good has its bad side, Artificial Intelligence has its disadvantages. However we need to take care of it and ensure that the benefits are used to make lives better. Let's examine some of the risks. High Costs: The costs of producing AI machines is high, Apart Read More >>

By |November 24, 2020|
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