the blog.

A Primer on Supervised and Unsupervised Machine Learning Models

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As an aspiring machine learning engineer, I always tell people that I like to make computers think like humans. O…Okay, I knew I couldn’t fool you. To tell you the truth, what we do isn’t anything fancy, and it’s certainly not magic. This isn’t to say that what ML can accomplish isn’t remarkable: these mathematical models optimize our internet searches, drive cars, re-tailor education experiences for all sorts of individuals, predict sicknesses, and classify all objects with uncanny accuracy, breaking milestones at prophetic rates.

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An Overview of Hierarchical Cluster Analysis (HCA)

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In Data science, big, messy problem sets are unavoidable. If we keep them as such, every step of the analytical process will be much more cumbersome. Given this, it’s inarguable that we would want away to view our data at large in a logical and organized manner.

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Python, Functional Programming, and Mathematical Computation for Data Science

You are probably well aware of Python’s flying demand in almost every discipline of computer science. Python dominates in programming for embedded systems, network engineering, back-end web development, and of course, Data Science.

Its success is owed to its wide range of applications as well as its user-friendliness: a Python program is almost always at least a few times shorter than its equivalent Java program and more than several times shorter than its analogous C++ program.

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