Machine Learning and its types - Internship Presentation - week 8
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The document presents a weekly training presentation on machine learning, covering its definitions, objectives, and key methodologies. It discusses the types of machine learning: supervised, unsupervised, and reinforcement learning, along with their respective examples and uses. Additionally, it outlines major machine learning techniques such as regression, classification, clustering, and recommendation systems.
Machine Learning and its types - Internship Presentation - week 8
- 1. WEEKLY PRESENTATION DURING TRAINING PROGRAM - Devang Garach [email protected] WEEK-8 Information Technology Pvt. Ltd. MACHINE LEARNING
- 2. OBJECTIVES - MACHINE LEARNING What is AI, ML & DL What is Machine Learning? How do Machine Learn? Types of Machine Learning Major Machine Learning Techniques Information Technology Pvt. Ltd. MACHINE LEARNING
- 3. What is AI, ML & DL Information Technology Pvt. Ltd. MACHINE LEARNING Source : edureka.co
- 4. What is Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Machine Learning is a subset of artificial intelligence. It focuses mainly on the designing of systems, thereby allowing them to learn and make predictions based on some experience which is data in case of machines.
- 5. How do Machine Learn? Information Technology Pvt. Ltd. MACHINE LEARNING ML Process can be divided into 3 sequential parts: DATA INPUT Past data or information which is utilize as a basis for future decision making(prediction). ABSTRACTION The Input data is processed using underlying algorithm. ABSTRACTION helps in deriving a "CONCEPTUAL MAP/MODEL" based on input data. The model may be in any one of the following form: (1) A Block of "IF...ELSE..." rule (2) Mathematical Equations (3) A Data structure like TREE/GRAPH (4) Logical Grouping of Similar Observations
- 6. How do machine learn? Information Technology Pvt. Ltd. MACHINE LEARNING GENERALIZATION The abstract representation is generalized to form a framework for making decisions. The model is trained based on finite set of data which may have limited set of characteristics. To apply the model,to take decision on "set of UNKNOWN DATA(Testing Data)" . InputData ---> Abstraction ---> Generalization
- 7. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING ● Supervised Learning ● Unsupervised Learning ● Reinforcement Learning
- 8. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Supervised Learning: Also known as "PREDICTIVE LEARNING" where a MACHINE predicts the class of unknown objects based on previous class related information of similar objects. Major objective is to learn from previous information. Example: Separating images by either shape or color.
- 9. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Supervised Learning (Continue...) How machine is able to differentiate between different shapes? Some information needs to be provided so that machine will understand different shapes(TRAINING). Providing information to machine is known as "TRAINING DATA" which is a past information on specific task. Along with features a tag is also provided,tag is called "LABEL". In case of supervised learning, "TRAINING DATA ARE LABELED".
- 10. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Supervised Learning (Continue...) Source : edureka.co
- 11. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Supervised Learning (Continue...) Examples: Predicting the result of a game. Predicting whether tumour is malignant or benign. Predicting the price of domain like real estate, stock-market Etc. Classified text such as whether email is spam or not. NOTE: If training data are of poor quality than prediction will not be precise.
- 12. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Unsupervised Learning: It is also known as "DESCRIPTIVE LEARNING" where machine finds a pattern in unknown object by grouping similar objects together. In this,there is NO LABELED training data to learn from. The objective is to take dataset as input and find 'NATURAL GROUPINGS' or 'PATTERNS' from dataset. Therefore it is often known as "DESCRIPTIVE MODEL" and the process is also referred as "PATTERN DISCOVERY" or "KNOWLEDGE DISCOVERY".
- 13. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Unsupervised Learning (Continue...) Source : edureka.co
- 14. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Unsupervised Learning (Continue...) Examples: Market Basket Analysis Recommendation System Source : edureka.co
- 15. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Reinforcement Learning: A machine LEARN TO ACT its own to achieve given goals. Machine often learns to do task autonomously. The agent interacts with the environment and explores it by itself. The primary goal of an agent in reinforcement learning is to improve the performance by getting the maximum positive rewards. It improves its performance by doing the task, If it does successfully, A REWARD IS GIVEN else it gets PENALTY The machine continuous this this process for the entire task which is known as "REINFORCEMENT LEARNING".
- 16. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Reinforcement Learning (Continue...) Source : edureka.co
- 17. Types of Machine Learning Information Technology Pvt. Ltd. MACHINE LEARNING Reinforcement Learning (Continue...) Examples: SELF DRIVING CARS where critical information needs to be taken care like speed and speed limit in different road segments, traffic conditions, road conditions, weather condition Etc. Source : edureka.co
- 18. Major Machine Learning Techniques Information Technology Pvt. Ltd. MACHINE LEARNING Regression / Estimation Predicting continuous value Classification Predicting the item class/category of a case Clustering Finding the structure of data, summarization Associations Associating frequent co-occurring items / events
- 19. Major Machine Learning Techniques (Continue...) Information Technology Pvt. Ltd. MACHINE LEARNING Anomaly detection Discovering abnormal and unusual cases Sequence mining Predicting next events Dimension Reduction Reducing the size of data (PCA) Recommendation System Recommending items
- 20. Thank You. - Devang Garach [email protected] Information Technology Pvt. Ltd.