Created by Lazy Programmer Inc. English [Auto-generated], Portuguese [Auto-generated], 1 more Created by Lazy Programmer Inc. This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials.
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In this tutorial, you will learn how to perform video classification using FastAI, Python, and Deep Learning. FastAI is a Deep Learning library that is built on the top of Pytorch. There are freely available tutorials/courses for FastAI. I am also currently enrolled in Practical Deep Learning for Coders course.
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AI is finally here and most of us are already actively using it in our day-to-day life. To prepare our future generation to harness these technologies, educators need to understand how they can use AI, use it to facilitate learning and solve real-world problems. The course is aimed at all educators who would like to use AI, irrespective of the topic which they teach. The course assumes no prior knowledge of AI and will start by introducing the basic concepts. It will then illustrate a number of fun exercises which can be used with the students, to help them understand these concepts.
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