Hello beautiful people, I hope you all are doing great. Here I'm sharing a short PPT on Machine Learning. if you found it helpful. say thanks it's most welcomed.
2. What is Machine Learning
Definition of machine learning is in it’s name
Machine + Learning
Means
Machine is learning
By What & How?
By Fetched(Input) data and Past Experience
4. Machine learning
definition
• A branch of artificial intelligence, concerned with the design
and development of algorithms that allow computers to evolve
behaviors based on empirical data.
• As intelligence requires knowledge, it is necessary for the
computers to acquire knowledge.
5. Types of learning
• Supervised (inductive) learning
– Training data includes desired outputs
• Unsupervised learning
– Training data does not include desired outputs
• Semi-supervised learning
– Training data includes a few desired outputs
• Reinforcement learning
– Rewards from sequence of actions
6. Training and testing
Training set
(observed)
Universal set
(unobserved)
Testing set
(unobserved)
Data acquisition Practical usage
7. • Training is the process of making the system able to learn.
• No free lunch rule:
o Training set and testing set come from the same distribution
o Need to make some assumptions or bias
Training and testing
8. Algorithms
• The success of machine learning system also depends on the
algorithms.
• The algorithms control the search to find and build the
knowledge structures.
• The learning algorithms should extract useful information
from training examples.
9. List of Common Machine
Learning Algorithms
• Linear Regression
• Logistic Regression
• Decision Tree
• SVM
• Naive Bayes
• kNN
• K-Means
• Random Forest
10. Applications
• Face detection
• Object detection and recognition
• Image segmentation
• Multimedia event detection
• Spam and fraud detection
• Web Advertising