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Presented by
Ashutosh Rout
Introduction to
Machine Learning
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.
30-11-2023
30-11-2023
Some of the machine learning
algorithms are:
• Neural Networks
• Random Forests
• Decision trees
• Genetic algorithm
• Radial basis function
• Sigmoid
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.
30-11-2023
Types of Machine Learning
There are three types of machine learning
 Supervised learning
 Unsupervised learning
 Reinforcement learning
30-11-2023
Machine Learning Uses:
 Traffic prediction
 Virtual Personal Assistant
 Speech recognition
 Email spam and malware filtering
 Bioinformatics
 Natural language processing
30-11-2023
Real Time Examples for ML
 TRAFFIC PREDICTION
 VIRTUAL PERSONAL ASSISTANT
 ONLINE TRANSPORTATION
 SOCIAL MEDIA SERVICES
 EMAIL SPAM FILTERING
 PRODUCT RECOMMENDATION
 ONLINE FRAUD DETECTION
30-11-2023
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
30-11-2023
30-11-2023
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.
30-11-2023
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.
30-11-2023
Disadvantages of Machine Learning
 It is very difficult to identify and rectify the errors.
 Data Acquisition.
 Interpretation of results Requires more time and space.
30-11-2023
Conclusion of Machine Learning
 These days machine learning techniques are being
widely used to solve real-world problems by storing,
manipulating, extracting and retrieving data from large
sources. Supervised machine learning techniques have
been widely adopted however these techniques prove to
be very expensive when the systems are implemented
over wide range of data.
30-11-2023
https://refreshscience.com

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ASHUTOSH.pptx

  • 2. 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. 30-11-2023
  • 3. 30-11-2023 Some of the machine learning algorithms are: • Neural Networks • Random Forests • Decision trees • Genetic algorithm • Radial basis function • Sigmoid
  • 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. 30-11-2023
  • 5. Types of Machine Learning There are three types of machine learning  Supervised learning  Unsupervised learning  Reinforcement learning 30-11-2023
  • 6. Machine Learning Uses:  Traffic prediction  Virtual Personal Assistant  Speech recognition  Email spam and malware filtering  Bioinformatics  Natural language processing 30-11-2023
  • 7. Real Time Examples for ML  TRAFFIC PREDICTION  VIRTUAL PERSONAL ASSISTANT  ONLINE TRANSPORTATION  SOCIAL MEDIA SERVICES  EMAIL SPAM FILTERING  PRODUCT RECOMMENDATION  ONLINE FRAUD DETECTION 30-11-2023
  • 8. 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 30-11-2023
  • 10. 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. 30-11-2023
  • 11. 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. 30-11-2023
  • 12. Disadvantages of Machine Learning  It is very difficult to identify and rectify the errors.  Data Acquisition.  Interpretation of results Requires more time and space. 30-11-2023
  • 13. Conclusion of Machine Learning  These days machine learning techniques are being widely used to solve real-world problems by storing, manipulating, extracting and retrieving data from large sources. Supervised machine learning techniques have been widely adopted however these techniques prove to be very expensive when the systems are implemented over wide range of data. 30-11-2023 https://refreshscience.com