A complete course about Machine and Deep learning; the fundaments of AI.
Description
Welcome everyone! My name is Anastasis and I am an Electrical and Computers Engineer, finishing my studies at Aristotle University of Thessaloniki. My diploma thesis is on Vision Language Models, and based on that I decided that many more students could be introduced in the world of Machine Learning, as I have been, and become inspired to make research using this very powerful tool known as AI models. This course is a “demo” to the bigger course that will soon be released. It includes only the first part of a whole lot of many chapters of Machine Learning that we are going to explore and thoroughly understand together. This course’s main objective is to help provide the students a very clear and in depth understanding of how Machine Learning algorithms work, in order to become an adept data engineer or scientist! Students are more than encouraged to leave feedback, as it is the only way to help me become able to help you better understand a complex topic, and make the teaching process as pleasant as possible! By this course’s end, I hope that I will have inspired the student that completed it to delve into the great depths of the vast subject of Machine Learning, as I believe that knowledge of this subject is a “mandatory” skill for today’s computer scientists and engineers.
Total Students | 2173 |
---|---|
Duration | 1.5 hours |
Language | English (US) |
Number of lectures | 7 |
Number of quizzes | 1 |
Total Reviews | 111 |
Global Rating | 4.25 |
Instructor Name | Anastasis Stergiou |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Examples
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Examples
- Clear Explanation
- Real World
Watch-outs
- Theory only
Difficulty
Best suited for
New learners starting from zero, Learners who like theory + frameworks
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