Msc soft computing ppt.pptx

Msc soft computing ppt.pptx

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  Name:- pradeep gupta Topicname:- Machine Learning Subject :- Soft computing PRN no:- 2018016400376346 ID number:- 31218 Roll no:- 41 Submitted to:- Mrs. Snehal borole
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  Introduction to MachineLearning
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  What is MachineLearning • 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.
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  Normal Computer vsML • 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.
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  Some of themachine learning algorithms are: • Neural Networks • Random Forests • Decision trees • Genetic algorithm • Radial basis function • Sigmoid
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  Types of MachineLearning There are three types of machine learning – Supervised learning – Unsupervised learning – Reinforcement learning
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  Machine Learning Uses: •Traffic prediction • Virtual Personal Assistant • Speech recognition • Email spam and malware filtering • Bioinformatics • Natural language processing
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  Real Time Examplesfor ML • TRAFFIC PREDICTION • VIRTUAL PERSONAL ASSISTANT • ONLINE TRANSPORTATION • SOCIAL MEDIA SERVICES • EMAIL SPAM FILTERING • PRODUCT RECOMMENDATION • ONLINE FRAUD DETECTION
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  Best Programming Languagesfor ML Some of the best and most commonly used machine learning programs are • Python, • java, • C, • C++, • Shell, • R, • JavaScript, • Scala, • Shell, • Julia
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  Difference Between Machine LearningAnd 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.
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  Advantages of MachineLearning • 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.
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  Disadvantages of MachineLearning • It is very difficult to identify and rectify the errors. • Data Acquisition. • Interpretation of results Requires more time and space.
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  Thank you