Core Concepts Behind Machine Learning

Over the last few years, machine learning has garnered a great deal of attention both in academic circles and in the marketplace. We now have a huge number of applicable use cases, thanks to the fact that we're living in an era where data is the new coin. 

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How to Break into Machine Learning: A Non-Traditional Approach

In the last 2 or 3 years, you may have heard that "data is the new currency." Or perhaps you've read news about the increased usage of artificial intelligence to create self-driving cars, supplement customer support, and improve product recommendation systems based on the last purchased item or the customer's shopping profile.

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Your ML Career Starts Here

There's a lot of interest in learning some form of machine learning/predictive analytics or AI these days, but knowing where to start can be difficult. I recommend learning TensorFlow on Colab (along with NumPy and pandas), because TensorFlow has support for developing many standard AI/ML models quickly and Colab gives us a user-friendly online environment for experimenting.

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