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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:
Introduction [Beginner]: the topic will be presented, initial intuition about it
Hands-On [Intermediate]: practical lectures where we will learn by doing
Deep dive [Expert/Optional]: going deep into the maths to fully understand the topic
What tools will we use in the course?
Python: probably the most versatile programming language in the world, from websites to Deep Neural Networks, all can be done in Python
Python libraries: matplotlib, OpenCV, numpy, scikit-learn, keras, ... (those libraries make the possibilities of Python limitless)
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?
All-levels: there is no previous knowledge required, there is a section that will teach you how to program in Python
Maths/logic: High-school level is enough to understand everything!
Sections:
[Optional] Python sections: How to program in python, and how to use essential libraries
Computer Vision: teaches a computer how to see, and introduces key concepts for Neural Networks
Machine Learning: introduction, key concepts, and road sign classification
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
Help us understand the difference between Tesla and other car manufacturers, because Tesla doesn’t use radar sensors
Deep learning: we will use all the concepts that we have seen before in CV, in ML and CA, neural networks introduction, Behavioural Cloning
Control Theory: control systems is the glue that stitches all engineering fields together
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
Who am I, and why am I qualified to talk about Self-driving cars?
Worked in self-driving motorbikes, boats and cars
Some of the biggest companies in the world
Over 8 years experience in the industry and a master in Robotic & CV
Always been interested in efficient learning, and used all the techniques that I’ve learned in this course
Everything You Need to Know About Machine Learning & Self-Driving Cars: Bootcamp with Python
This course is a comprehensive and well-structured introduction to Machine Learning & Self-Driving Cars: Bootcamp with Python. The instructor, Iu Ayala, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Machine Learning & Self-Driving Cars: Bootcamp with Python. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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