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Learner Reviews & Feedback for AI and Machine Learning Algorithms and Techniques by Microsoft

4.8
stars
21 ratings

About the Course

This course covers the core algorithms and techniques used in AI and ML, including approaches that use pre-trained large-language models (LLMs). You will explore supervised, unsupervised, and reinforcement learning paradigms, as well as deep learning approaches, including how these operate in pre-trained LLMs. The course emphasizes the practical application of these techniques and their strengths and limitations in solving different types of business problems. By the end of this course, you will be able to: 1. Implement, evaluate, and explain supervised, unsupervised, and reinforcement learning algorithms. 2. Apply feature selection and engineering techniques to improve model performance. 3. Describe deep learning models for complex AI tasks. 4. Assess the suitability of various AI & ML techniques for specific business problems. To be successful in this course, you should have intermediate programming knowledge of Python, plus basic knowledge of AI and ML capabilities, and newer capabilities through generative AI (GenAI) and pretrained large language models (LLM). Familiarity with statistics is also recommended....

Top reviews

AC

Jan 17, 2025

i enjoyed this course ! the most important thing is that it is full of practice

CM

Jan 10, 2025

Good enough to understand the notebooks in Azure and the techniques

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1 - 6 of 6 Reviews for AI and Machine Learning Algorithms and Techniques

By Asma C

•

Jan 17, 2025

i enjoyed this course ! the most important thing is that it is full of practice

By Cesar G M

•

Jan 10, 2025

Good enough to understand the notebooks in Azure and the techniques

By Kunal a

•

Apr 1, 2025

It was very well tailored for all types of learners.

By thohv3

•

Apr 6, 2025

Good course

By do t v

•

Mar 4, 2025

Ok

By Faisal A

•

Apr 5, 2025

I was very frustrated with the duplicate readings. I don't understand why they repeated the same code in separate sections when it was already covered earlier. Although the course is labeled as intermediate, in my opinion, it's more suitable for beginners. Overall, I expected more from this course and found it quite disappointing.