Machine learning
- 2. INDEX • Introduction of the topics • History of machine learning • Advantages • Disadvantages • Flow Chart • Application
- 3. Introduction • What is machine learning? Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
- 4. Who invented machine learning? • Arthur Samuel • Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM.
- 5. Advantages of Machine learning •Easily identifies trends and patterns oMachine Learning can review large volumes of data and discover specific trends and patterns. •No human intervention needed (automation) oWith ML, you don’t need to babysit your project every step of the way. Since it means giving machines the ability to learn.
- 6. • Continuous Improvement oAs ML algrothms gain experience, they keep improving in accuracy and efficiency. •Handling multi-dimensional and multi-variety data oMachine Learning algorithms are good at handling data that are multi- dimensional and multi-variety, and they can do this in dynamic or uncertain environments.
- 7. Disadvantages of Machine Learning • Data Acquisition oMachine Learning requires massive data sets to train on, and these should be inclusive/unbiased, and of good quality. •Time and Resources oML needs enough time to let the algorithms learn and develop enough to fulfill their purpose with a considerable amount of accuracy and relevancy.
- 8. •Interpretation of Results oAnother major challenge is the ability to accurately interpret results generated by the algorithms. You must also carefully choose the algorithms for your purpose. •High error-susceptibility oMachine Learningis autonomous but highly susceptible to errors. Suppose you train an algorithm with data sets small enough to not be inclusive.
- 9. Flow Chart
- 10. Application: 1. Virtual Personal Assistants 2. Videos Surveillance 3. Search Engine Result Refining 4. Email Spam and Malware Filtering
- 11. Thank you!