Connor Lockman
Posts by Connor Lockman
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Design Lab Resident Connor Lockman discusses an online course he took on neural networks.
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Design Lab Resident Connor Lockman discusses his work with machine learning and animal classification projects on the Zooniverse platform.
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Machine learning has changed, and will continue to change the world around us. Over the course of November, I spent time completing an online Lynda course titled, Deep Learning: Image Recognition by Adam Geitgey. In this course, I learned key concepts about neural networks and built on what I learned in last month’s machine learning course. By the end of this course, I was able to get a toy neural network working and understanding, at a basic level, the different components that play a part in making it function.
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Machine learning is changing the world around us and it will continue to dramatically shape our future. Complex computer algorithms are slowly starting to define our interactions with vehicles, social media, and Netflix. That’s right, even the shows Netflix recommends for you are, in part, the result of a complex machine learning algorithm.
Despite the omnipresence of machine learning in the world around us, the mystique that surrounds these two words is palpable. Many people forfeit trying to understand how machine learning works upon reading the word algorithm. I, however, decided to delve into the topic through an online course. In an attempt to better understand just what is happening during a machine learning program, I completed the Lynda.com course, “Machine Learning and AI Foundations: Value Estimations,” taught by Adam Geitgey. Participating in the course left me believing that, although machine learning is a highly complex process, one does not need to understand exactly what is going on under the hood of the algorithm, so long as they can navigate the program.
Despite the omnipresence of machine learning in the world around us, the mystique that surrounds these two words is palpable. Many people forfeit trying to understand how machine learning works upon reading the word algorithm. I, however, decided to delve into the topic through an online course. In an attempt to better understand just what is happening during a machine learning program, I completed the Lynda.com course, “Machine Learning and AI Foundations: Value Estimations,” taught by Adam Geitgey. Participating in the course left me believing that, although machine learning is a highly complex process, one does not need to understand exactly what is going on under the hood of the algorithm, so long as they can navigate the program.
