How I Stay Up-To-Date With Data Science. Sharing the best Data Science resources I know
Staying up to date with Data Science, whilst filtering the gold from the impurities is imperative for any Data Scientist who is serious about mastering their craft.
Ever since I made a pledge to myself about putting out 3 blog post a week, having reliable, inspirational, and effective resources has been paramount to ensuring I meet the pledge I made to myself.
With that being said, here’s how I stay up to date…
Towards Data Science is generally what I use the most. A popular medium publication that covers a range of things in technology such as Programming, Data Visualization, Machine Learning, Deep Learning and of course Data Science.
Recently, I’ve also been delving into the Towards Data Science Podcast on Spotify — I personally prefer shorter podcast (1 hour or less) because my I tend to listen to them in the morning during my gym session, hence why this podcast fits the bill.
“Towards AI is a world’s leading multidisciplinary publication focused on science, technology, and engineering with an emphasis on diversity, equity, and inclusion. We publish the best of tech, science, engineering, and the future.” — (Source: Towards AI About Page)
Towards AI is growing in popularity quite rapidly. I first came across their work due to the great writings of Benjamin Obi Tayo Ph.D. — whom if you don’t follow, I’d highly recommend it.
I’ve found the writings on Towards AI are much broader than that of Towards Data Science and there are many interesting reads.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.