Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Give you a solid background in AI with MACHINE LEARNING, Deep Learning ... step-by-step to algorithms & coding exercises
There are many AI & Machine Learning courses out there BUT most of them teach you how to develop AI applications in just three lines of code! You will NEVER want that if your objective is to get a solid background in AI from scratch.
Therefore, this course by Long Nguyen (PhD. AI, France) is aimed at providing you comprehensive fundamentals in AI, from zero to hero! After completing this course, you will understand and be able to implement the most important methodologies in AI such as MACHINE LEARNING, Deep Learning, Fuzzy Logic, and Evolutionary Computation.
Concretely, I will walk you step-by-step through the most fundamental AI algorithms and guide you in many coding assignments that focus on real-world problems such as: handwritten digits recognition, customer segmentation, house price prediction, customer churn prediction ...
As having been working very hard and seriously for this project, I really look forward to seeing you in the lectures!
Course Content
- 10 section(s)
- 26 lecture(s)
- Section 1 Introduction to Artificial Intelligence
- Section 2 Introduction to Machine Learning
- Section 3 Preparation
- Section 4 Linear Regression
- Section 5 Logistic Regression
- Section 6 Artificial Neural Network & Deep Learning
- Section 7 Clustering Analysis
- Section 8 Fuzzy Logic
- Section 9 Evolutionary Computation
- Section 10 Thank you
What You’ll Learn
- Understand the concepts and BRANCHES of AI that you'll never find elsewhere!
- Understand Machine Learning algorithms STEP-BY-STEP
- Be able to implement Machine Learning algorithms in Python
- Understand and implement Artificial Neural Network & Deep Learning
- Understand and implement Regression, Classification, and Clustering algorithms
- Enhance your AI background with Fuzzy Logic and Evolutionary Computation (very USEFUL)
- Get a SOLID BACKGROUND in Artificial Intelligence and Machine Learning
- Practical exercises step-by-step: handwritten digits recognition, house price prediction, customer segmentation ...
Reviews
-
GG.Sreenivasula Reddy
It's a very comfortable to learn
-
SSanjay Prasad
The teaching style if simple but effective. I am impressed with how the professor has made complex logic into understanadable chunks and something that even a beginer like me could easily grasp. This is indeed one of my best course!
-
NNiels Henrik Krogh
so far so good.....but a bit hard with the trainers very strong accent......
-
CCarl Nicholson
Course content, resources and presentation were all excellent. I did have problems with the following though: 1. I didn't want to risk breaking my existing Python installation, so I couldn't use Jupiter notebook and had to adapt the notes resources manually. 2. The idx2numpy module wouldn't install as described. Got it in the end. 3. Problems with loading the lesson videos: they were often empty / zero length and had to be reloaded, sometimes changing browser from Chrome to Edge and vice versa. Also they sometimes froze and the browser had to be restarted. 4. Although I could do the maths and did a numpy course as well, I got stuck coding the linear and logistic regression (didn't even try neural nets) . I spent a lot of time on them, got demoralised and gave up. I think it might be better to have the fuzzy logic and evolutionary computation lessons before the really hard stuff! I think I will give them a go later. 5. Pronunciation. Hearing the way words like "linear", "phi", "fuzzy" were pronounced was quite hard on the ear... Otherwise I got a lot out of this course. Thanks!!