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Supervised vs Unsupervised vs Reinforcement Learning | Edureka

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YouTube: https://youtu.be/xtOg44r6dsE (** Python Data Science Training: https://www.edureka.co/python **) In this PPT on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session: 1. Introduction to Machine Learning 2. Types of Machine Learning 3. Supervised vs Unsupervised vs Reinforcement learning 4. Use Cases Python Training Playlist: https://goo.gl/Na1p9G Python Blog Series: https://bit.ly/2RVzcVE Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

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Python Certification Training for Data Science www.edureka.co/python Agenda Introduction to Machine Learning 01 02 03 Types of Machine Learning Supervised vs Unsupervised vs Reinforcement learning 04 Use Cases
Python Certification Training for Data Science www.edureka.co/python Introduction To Machine Learning
Python Certification Training for Data Science www.edureka.co/python What Is Machine Learning? Machine learning is a subset of artificial intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed. They look the same! Cherry Apple Orange Data Algorithm
Python Certification Training for Data Science www.edureka.co/python Types Of Machine Learning
Python Certification Training for Data Science www.edureka.co/python Types Of Machine Learning Reinforcement LearningSupervised Learning Unsupervised Learning
Python Certification Training for Data Science www.edureka.co/python Supervised vs Unsupervised vs Reinforcement
Python Certification Training for Data Science www.edureka.co/python Definition Supervised learning is a method in which we teach the machine using labelled data In unsupervised learning the machine is trained on unlabelled data without any guidance In Reinforcement learning an agent interacts with its environment by producing actions & discovers errors or rewardsType of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach Definition
Python Certification Training for Data Science www.edureka.co/python Problem Type Regression Classification Supervised Learning Unsupervised Learning Association Clustering Reinforcement Learning Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Type of data Supervised Learning Unsupervised Learning Reinforcement Learning Algorithm Cat CatDog Labelled Data Unlabelled Data No Predefined Data Algorithm Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Training Supervised Learning Unsupervised Learning Reinforcement Learning External supervision No supervision No supervision Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Aim Supervised Learning Unsupervised Learning Reinforcement Learning Forecast outcomes Discover underlying patterns Learn series of action Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Approach Supervised Learning Unsupervised Learning Reinforcement Learning Labelled Input Known Output Map labelled input to known output Understand patterns and discover output Follow Trail and Error method Unlabelled Input Explore patterns & trends Output Algorithm Training Algorithm Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Output Feedback Supervised Learning Unsupervised Learning Reinforcement Learning Labelled Input Known Output Training Unlabelled Input Explore patterns & trends Output Input state Environment Reward Direct Feedback No Feedback Reward system Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Popular Algorithms Supervised Learning Unsupervised Learning Reinforcement Learning Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach Linear Regression Logistic Regression Support Vector Machine K Nearest Neighbour Random Forest Q- Learning Apriori C- Means K- Means SARSA
Python Certification Training for Data Science www.edureka.co/python Applications Supervised Learning Unsupervised Learning Reinforcement Learning Risk Evaluation Forecast Sales Recommendation Systems Anomaly Detection Self driving cars Gaming Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
Python Certification Training for Data Science www.edureka.co/python Use Cases
Python Certification Training for Data Science www.edureka.co/python Use Case 1 Problem Statement: Study a bank credit dataset and make a decision about whether to approve the loan of an applicant based on his profile KNN algorithm Approve loan Reject loan
Python Certification Training for Data Science www.edureka.co/python Use Case 2 Problem Statement: To establish a mathematical equation for distance as a function of speed, so you can use it to predict distance when only the speed of the car is known. Linear Regression algorithm Predict the distance, when the speed of a car is given
Python Certification Training for Data Science www.edureka.co/python Use Case 3 Problem Statement: To cluster a set of movies as either good or average based on their social media out reach K-means Algorithm Popular Movies Non-popular Movies
Python Certification Training for Data Science www.edureka.co/python Use Case 4 Problem Statement: To perform Market Basket Analysis by finding association between items bought at the grocery store Association rule mining & Apriori Algorithm Perform Market Basket Analysis
Python Certification Training for Data Science www.edureka.co/python Use Case 5 Problem Statement: Place an agent in any one of the rooms (0,1,2,3,4) and the goal is to reach outside the building (room 5) Q-learning Algorithm Popular Movies 0 4 3 1 2 5 Reach room #5
Copyright © 2018, edureka and/or its affiliates. All rights reserved. YouTube Video Link in the Description
Python Certification Training for Data Science www.edureka.co/python WebDriver vs. IDE vs. RC ➢ Data Warehouse is like a relational database designed for analytical needs. ➢ It functions on the basis of OLAP (Online Analytical Processing). ➢ It is a central location where consolidated data from multiple locations (databases) are stored.

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Supervised vs Unsupervised vs Reinforcement Learning | Edureka

  • 1.
  • 2. Python Certification Training for Data Science www.edureka.co/python Agenda Introduction to Machine Learning 01 02 03 Types of Machine Learning Supervised vs Unsupervised vs Reinforcement learning 04 Use Cases
  • 3. Python Certification Training for Data Science www.edureka.co/python Introduction To Machine Learning
  • 4. Python Certification Training for Data Science www.edureka.co/python What Is Machine Learning? Machine learning is a subset of artificial intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed. They look the same! Cherry Apple Orange Data Algorithm
  • 5. Python Certification Training for Data Science www.edureka.co/python Types Of Machine Learning
  • 6. Python Certification Training for Data Science www.edureka.co/python Types Of Machine Learning Reinforcement LearningSupervised Learning Unsupervised Learning
  • 7. Python Certification Training for Data Science www.edureka.co/python Supervised vs Unsupervised vs Reinforcement
  • 8. Python Certification Training for Data Science www.edureka.co/python Definition Supervised learning is a method in which we teach the machine using labelled data In unsupervised learning the machine is trained on unlabelled data without any guidance In Reinforcement learning an agent interacts with its environment by producing actions & discovers errors or rewardsType of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach Definition
  • 9. Python Certification Training for Data Science www.edureka.co/python Problem Type Regression Classification Supervised Learning Unsupervised Learning Association Clustering Reinforcement Learning Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 10. Python Certification Training for Data Science www.edureka.co/python Type of data Supervised Learning Unsupervised Learning Reinforcement Learning Algorithm Cat CatDog Labelled Data Unlabelled Data No Predefined Data Algorithm Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 11. Python Certification Training for Data Science www.edureka.co/python Training Supervised Learning Unsupervised Learning Reinforcement Learning External supervision No supervision No supervision Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 12. Python Certification Training for Data Science www.edureka.co/python Aim Supervised Learning Unsupervised Learning Reinforcement Learning Forecast outcomes Discover underlying patterns Learn series of action Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 13. Python Certification Training for Data Science www.edureka.co/python Approach Supervised Learning Unsupervised Learning Reinforcement Learning Labelled Input Known Output Map labelled input to known output Understand patterns and discover output Follow Trail and Error method Unlabelled Input Explore patterns & trends Output Algorithm Training Algorithm Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 14. Python Certification Training for Data Science www.edureka.co/python Output Feedback Supervised Learning Unsupervised Learning Reinforcement Learning Labelled Input Known Output Training Unlabelled Input Explore patterns & trends Output Input state Environment Reward Direct Feedback No Feedback Reward system Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 15. Python Certification Training for Data Science www.edureka.co/python Popular Algorithms Supervised Learning Unsupervised Learning Reinforcement Learning Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach Linear Regression Logistic Regression Support Vector Machine K Nearest Neighbour Random Forest Q- Learning Apriori C- Means K- Means SARSA
  • 16. Python Certification Training for Data Science www.edureka.co/python Applications Supervised Learning Unsupervised Learning Reinforcement Learning Risk Evaluation Forecast Sales Recommendation Systems Anomaly Detection Self driving cars Gaming Definition Type of data Training Aim Output Feedback Popular Algorithms Applications Type of Problems Approach
  • 17. Python Certification Training for Data Science www.edureka.co/python Use Cases
  • 18. Python Certification Training for Data Science www.edureka.co/python Use Case 1 Problem Statement: Study a bank credit dataset and make a decision about whether to approve the loan of an applicant based on his profile KNN algorithm Approve loan Reject loan
  • 19. Python Certification Training for Data Science www.edureka.co/python Use Case 2 Problem Statement: To establish a mathematical equation for distance as a function of speed, so you can use it to predict distance when only the speed of the car is known. Linear Regression algorithm Predict the distance, when the speed of a car is given
  • 20. Python Certification Training for Data Science www.edureka.co/python Use Case 3 Problem Statement: To cluster a set of movies as either good or average based on their social media out reach K-means Algorithm Popular Movies Non-popular Movies
  • 21. Python Certification Training for Data Science www.edureka.co/python Use Case 4 Problem Statement: To perform Market Basket Analysis by finding association between items bought at the grocery store Association rule mining & Apriori Algorithm Perform Market Basket Analysis
  • 22. Python Certification Training for Data Science www.edureka.co/python Use Case 5 Problem Statement: Place an agent in any one of the rooms (0,1,2,3,4) and the goal is to reach outside the building (room 5) Q-learning Algorithm Popular Movies 0 4 3 1 2 5 Reach room #5
  • 23. Copyright © 2018, edureka and/or its affiliates. All rights reserved. YouTube Video Link in the Description
  • 24. Python Certification Training for Data Science www.edureka.co/python WebDriver vs. IDE vs. RC ➢ Data Warehouse is like a relational database designed for analytical needs. ➢ It functions on the basis of OLAP (Online Analytical Processing). ➢ It is a central location where consolidated data from multiple locations (databases) are stored.