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In this video, you will learn about Supervised vs Unsupervised vs Reinforcement Learning. You will understand the definition of each of these learning techniques and look at the various algorithms that are part of these methods. You will see the approach and the learning methods used in the training process. Finally, you will learn the various applications of Supervised, Unsupervised, and Reinforcement Learning.
Below topics are explained in this video:
0:00 Introduction
0:29 Types of Machine Learning
0:42 Definitions
02:27 Algorithms
04:54 Applications
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➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
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