Machine learning || Introduction || Main Components || Examples || Techniques

This slide provides help to understand concept of Machine Learning(ML), what are the main component of ML, real-life applications along with ML techniques

1. Machine Learning Samra shafique

2. Introduction Machine learning is about designing algorithms that automatically extract valuable information from data.

3. Main Components

4. Machine Learning is great for : Existing solutions require a lot of fine-tuning or a long list of rules. Machine learning algorithms can generally simplify code and perform better than traditional methods. Complex problems traditional methods can't solve: The best machine learning techniques can find a solution. A changing environment: machine learning systems can adapt to new data. Deep understanding of complex problems and large amounts of data.

5. examples of Machine Learning tasks, along with the techniques

6. examples of Machine Learning tasks, along with the techniques

7. examples of Machine Learning tasks, along with the techniques

8. examples of Machine Learning tasks, along with the techniques

9. examples of Machine Learning tasks, along with the techniques

10. examples of Machine Learning tasks, along with the techniques

11. examples of Machine Learning tasks, along with the techniques

12. Thank You