Description
Interested in Machine Learning or Self-Driving Cars (i.e. Tesla)? Then this course is for you!
This course has been designed by a professional Data Scientist, expert in Autonomous Vehicles, with the goal of sharing my knowledge and help you understand how Self-Driving Cars work in a simple way.
Each topic is presented at three levels:
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Introduction: the topic will be presented, initial intuition about it
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Hands-On: practical lectures where we will learn by doing
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[Optional] Deep dive: going deep into the maths to fully understand the topic
What tools will we use in the course?
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Python: probably the most versatile programming language in the world, from websites to Deep Neural Networks, all can be done in Python
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Python libraries: matplotlib, OpenCV, numpy, scikit-learn, keras, … (those libraries make the possibilities of Python limitless)
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Webots: a very powerful simulator, which free and open source but can provide a wide range of simulation scenarios (Self-Driving Cars, drones, quadrupeds, robotic arms, production lines, …)
Who this course is for?
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All-levels: there is no previous knowledge required, there is a section that will teach you how to program in Python
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Maths/logic: High-school level is enough to understand everything!
Sections:
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[Optional] Python sections: How to program in python, and how to use essential libraries
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Computer Vision: teaches a computer how to see, and introduces key concepts for Neural Networks
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Machine Learning: introduction, key concepts, and road sign classification
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Collision Avoidance: so far we have used cameras, in this section we understand how radar and lidar sensors are used for self-driving cars, use them for collision avoidance, path planning
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Help us understand the difference between Tesla and other car manufacturers, because Tesla doesn’t use radar sensors
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Deep learning: we will use all the concepts that we have seen before in CV, in ML and CA, neural networks introduction, Behavioural Cloning
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Control Theory: control systems is the glue that stitches all engineering fields together
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If you are mainly interested in ML, you can only listen to the introduction for this section, but you should know that the initial Neural Networks were heavily influenced by CT
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Who am I, and why am I qualified to talk about Self-driving cars?
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Worked in self-driving motorbikes, boats and cars
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Some of the biggest companies in the world
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Over 8 years experience in the industry and a master in Robotic & CV
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Always been interested in efficient learning, and used all the techniques that I’ve learned in this course
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