Site blog
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April 2019High Dimensional Data: Breaking the Curse of Dimensionality with Python
Dimensionality reduction is an absolutely necessary skill for every data scientist to have. Break the curse of dimensionality with Python. What's common in most of us is that we are used to seeing and interpreting things in two or three dimensions to the extent that the thought of thinkin...
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April 2019Attending the Instructional Design Summit at the 2019 Open edX Conference
The 2019 Open edX Conference included one of the best seminars/workshops for content creators: The Instructional Design Summit.When your Uber driver drops you off at the back entrance, you don't really know what to expect. You see everything in the reverse order you're supposed too, but you get th...
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April 2019Is it necessary to go to a university to become a Data Scientist?
The number of applications for programs in Data Science has increased. With various online resources, is it necessary to go to a university for Data Science? Data Science is one of the fastest-growing fields, and the data shows this trend will continue into the near futu...
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March 2019Unleash the potential of Recommender Systems
Recommender systems are one of the most popular algorithms in data science today. Learn how to build a simple movie recommender system. Recommender systems possess immense capability in various sectors ranging from entertainment to e-commerce. Recommender Systems have proven to be instrum...
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March 2019Top Python Packages for Data Science and How to Best Use Them
Finding the top python packages and libraries that aren't only popular, but get the job done isn't easy. Here's a list to help you out.Out of all the Python scientific libraries and packages available, which ones are not only popular but the most useful in getting the job done? To help you filter...
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March 2019Supercharge your Python Plots with Zero Extra Code
Graphs play a very important role in the data science workflow. Learn how to create dynamic professional-looking plots with Plotly.py.We use plots to understand the distribution and nature of variables in the data and use visualizations to describe our findings in reports or presentation...
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March 2019R vs Python: Which is better for Data Science?
R and Python remain the most popular data science programming languages. But which of these languages is better?As data science becomes more and more applicable across every industry sector, you might wonder which programming language is best for implementing your models and analysis. If you atten...
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February 2019US-AI vs Chin-AI
What does the race for AI mean for data science worldwide? Why is it getting a lot of attention these days?Although it may still be recovering from the effects of the government shutdown, data science has received a lot of positive attention from the United States Government. Two major recent...
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February 2019Data science blogs I follow, and you should too
Working within the Data Science industry has made me religiously follow a few blogs that I use to stay up to date with industry trends, learn new concepts, and understand the vernacular.As a new member, these three things were originally hard for me to grasp until I started reading every...
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February 2019My Key Takeaways from the AI for Social Good Meetup
Raja Iqbal, Chief Data Scientist and CEO of Data Science Dojo, held a community talk on AI for Social Good. Lets look at some key takeaways. This discussion took place on January 30th in Austin, Texas. Below, you will find the event abstract and my key tak...