Secret of Machine Learning
- 1. The Secret Of MACHINE LEARNING Cetpa Infotech.com
- 2. Outline History Of Machine Learning What is Machine Learning? Why ML? Application Machine Learning Structure Machine LearningAlgorithm Learning System Model Training andTesting Cetpa Infotech.com
- 3. History of Machine Learning The Name Machine Learning was coined in 1959 by Arthur Samuel tom M. Mithchell Provided a widely quoted , more formal definition of the Studied algorithm in the machine Learning Field. Arthur Samuel joins IBM's Poughkeepsie Laboratory and begins developing some of the first machine learning systems, starting with checkers programmers.While working at the CornellAeronautical Laboratory, Frank Rosenblatt invents the perception. Cetpa Infotech.com
- 4. What is Machine Learning Machine learning is a subfield of artificial intelligence that is described as a machine's ability to imitate intelligent human behavior in a wide sense. This relates to machines that can detect a visual picture, comprehend a natural-language text, or perform a physical activity. Machine learning can be divided into three categories: supervised learning, unsupervised learning, and reinforcement learning. Cetpa Infotech.com
- 5. Why ML? Machine learning is important because it allows businesses to see trends in customer behavior and business operating patterns while also assisting in the development of new products. Machine learning is at the basis of many of today's most successful businesses, like Face book, Google, and Uber. For many businesses, machine learning has become a significant competitive difference. Machine learning is a technique for creating algorithms that take in input data and apply statistical analysis to anticipate the outcome based on the type of data provided. Cetpa Infotech.com
- 6. Application Of ML Face Detection Object detection and recognition Image Segmentation Multimedia Event detection Economical and commercial usage Cetpa Infotech.com
- 7. Structure Of Machine Learning PreparingYour Dataset for Machine Learning: BasicTechniquesThat MakeYour Data Better Articulate the problem early. Establish data collection mechanisms. ... Check your data quality. Format data to make it consistent. Reduce data. Complete data cleaning. Create new features out of existing ones. Cetpa Infotech.com
- 8. Machine Learning Algorithm Types Of Algorithm in ML 1. Supervised Learning Regression Classification 2. Unsupervised Machine Learning Clustering Probability Distribution Estimation Finding association (In Features) Dimension Reeducation 3. Reinforcement Learning Decision Making(Robot, Chess Machine) Cetpa Infotech.com
- 10. Training and Testing Training is the Process of MakingThe System the able to Learn The process of evaluating and verifying that a software product or programmed does what it advertises to do is known as testing. Preventing defects, lowering development costs, and boosting performance are all advantages of testing. Cetpa Infotech.com
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