IndTrainMachineLearning (3) 1.pptxt understand deep concepts

it is machine learning presentation with a project of diabetes prediction

1. 19-11-2023 https://refreshscience.com Introduction to Machine Learning

2. 19-11-2023 https://refreshscience.com A PRACTICAL TRAINING SEMINAR ON “Machine Learning” AT “BHARAT INTERN” SUBMITTED IN PARTIAL FULFILLMENT FOR THE AWARD OF DEGREE OF “BACHELOR OF TECHNOLOGY” IN “COMPUTER SCIENCE & ENGINEERING SUBMITTED TO : HEAD OF DEPARTMENT SUBMITTED BY: Parth Dave (21EAOCS036) ARYA INSTITUTE OF ENGINEERING TECHNOLOGY AND MANAGEMENT JAIPUR (RAJASTHAN) - 302026

3. What is Machine Learning Machine learning is an application of artificial intelligence that involves algorithms and data that automatically analyse and make decision by itself without human intervention. It describes how computer perform tasks on their own by previous experiences. Therefore we can say in machine language artificial intelligence is generated on the basis of experience. 19-11-2023 https://refreshscience.com

4. Normal Computer vs ML The difference between normal computer software and machine learning is that a human developer hasn’t given codes that instructs the system how to react to situation, instead it is being trained by a large number of data. 19-11-2023 https://refreshscience.com

5. 19-11-2023 https://refreshscience.com Some of the machine learning algorithms are: Neural Networks Random Forests Decision trees Genetic algorithm Radial basis function Sigmoid

6. Types of Machine Learning There are three types of machine learning Supervised learning Unsupervised learning Reinforcement learning 19-11-2023 https://refreshscience.com

7. Supervised Learning 19-11-2023 https://refreshscience.com For every example in the data there is always a predefined outcome Models the relations between a set of descriptive features and a target (Fits data to a function) 2 groups of problems: Classification Regression

8. Unsupervised Learning 19-11-2023 https://refreshscience.com Learning “what normally happens” No output Clustering: Grouping similar instances Example applications Customer segmentation in CRM Image compression: Color quantization Bioinformatics: Learning motifs

9. Reinforcement Learning 19-11-2023 https://refreshscience.com Learning a policy: A sequence of outputs No supervised output but delayed reward Credit assignment problem Game playing Robot in a maze Multiple agents, partial observability, ...

10. Machine Learning Uses: Traffic prediction Virtual Personal Assistant Speech recognition Email spam and malware filtering Bioinformatics Natural language processing 19-11-2023 https://refreshscience.com

11. Real Time Examples for ML TRAFFIC PREDICTION VIRTUAL PERSONAL ASSISTANT ONLINE TRANSPORTATION SOCIAL MEDIA SERVICES EMAIL SPAM FILTERING PRODUCT RECOMMENDATION ONLINE FRAUD DETECTION 19-11-2023 https://refreshscience.com

12. Best Programming Languages for ML Some of the best and most commonly used machine learning programs are Python, java, C, C++, Shell, R, JavaScript, Scala , Shell, Julia 19-11-2023 https://refreshscience.com

13. Difference Between Machine Learning And Artificial Intelligence Artificial Intelligence is a concept of creating intelligent machines that stimulates human behaviour whereas Machine learning is a subset of Artificial intelligence that allows machine to learn from data without being programmed. 19-11-2023 https://refreshscience.com

14. Advantages of Machine Learning Fast, Accurate, Efficient. Automation of most applications. Wide range of real life applications. Enhanced cyber security and spam detection. No human Intervention is needed. Handling multi dimensional data. 19-11-2023 https://refreshscience.com

15. Disadvantages of Machine Learning It is very difficult to identify and rectify the errors. Data Acquisition. Interpretation of results Requires more time and space. 19-11-2023 https://refreshscience.com

16. PROJECT House Price Prediction 19-11-2023 https://refreshscience.com

17. 19-11-2023 https://refreshscience.com PROJECT House Price Prediction

18. 19-11-2023 https://refreshscience.com PROJECT House Price Prediction

19. Project Wine Quality Prediction 19-11-2023 https://refreshscience.com

20. 19-11-2023 https://refreshscience.com Project Wine Quality Prediction

21. 19-11-2023 https://refreshscience.com Project Wine Quality Prediction

22. 19-11-2023 https://refreshscience.com

23. CERTIFICATION 19-11-2023 https://refreshscience.com

24. Thank you 19-11-2023 https://refreshscience.com