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RVS TECHINCAL CAMPUS
TOPIC:MACHINE LEARNING
19-09-2022 https://refreshscience.com
COIMBATORE
M. Jayasree(712920104008)
C. Padmavathi(712920104017)
J. Nileshnath(712920104015)
P. Sanjay(712920104024)
19-09-2022
Introduction to Machine Learning
•Normal Computer vs Machine Learning
•Types of Machine Learning
•Machine Learning uses
•Diff. B/n M.L vs A.I
•Machine Learning
•Advantage and Disadvantage
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.
• Therefore we can say in machine language
artificial intelligence is generated on the basic
of experience
19-09-2022 https://refreshscience.com
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.
19-09-2022 https://refreshscience.com
19-09-2022 https://refreshscience.com
Some of the machine learning algorithms are:
• Neural Networks
• Random Forests
• Decision trees
• Genetic algorithm
• Radial basis function
• Sigmoid
Types of Machine Learning
There are three types of machine learning
– Supervised learning
– Unsupervised learning
– Reinforcement learning
19-09-2022 https://refreshscience.com
Machine Learning Uses:
• Traffic prediction
• Virtual Personal Assistant
• Speech recognition
• Email spam and malware filtering
• Bioinformatics
• Natural language processing
19-09-2022 https://refreshscience.com
REAL TIME EXAMPLES FOR ML
• TRAFFIC PREDICTION
• VIRTUAL PERSONAL ASSISTANT
• ONLINE TRANSPORTATION
• SOCIAL MEDIA SERVICES
• EMAIL SPAM FILTERING
• PRODUCT RECOMMENDATION
• ONLINE FRAUD DETECTION
19-09-2022 https://refreshscience.com
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,
• Julia
19-09-2022 https://refreshscience.com
19-09-2022 https://refreshscience.com
Difference Between Machine
Learning And Artificial Intelligence
•Artifical 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.
19-09-2022 https://refreshscience.com
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.
19-09-2022 https://refreshscience.com
Disadvantages of Machine
Learning
• It is very difficult to identify and rectify the
errors.
• Data Acquisition.
• Interpretation of results Requires more time
and space.
19-09-2022 https://refreshscience.com
Thank you 😊
19-09-2022 https://refreshscience.com

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MACHINE LEARNING-3.pptx

  • 1. RVS TECHINCAL CAMPUS TOPIC:MACHINE LEARNING 19-09-2022 https://refreshscience.com COIMBATORE M. Jayasree(712920104008) C. Padmavathi(712920104017) J. Nileshnath(712920104015) P. Sanjay(712920104024)
  • 2. 19-09-2022 Introduction to Machine Learning •Normal Computer vs Machine Learning •Types of Machine Learning •Machine Learning uses •Diff. B/n M.L vs A.I •Machine Learning •Advantage and Disadvantage
  • 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. • Therefore we can say in machine language artificial intelligence is generated on the basic of experience 19-09-2022 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. 19-09-2022 https://refreshscience.com
  • 5. 19-09-2022 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 19-09-2022 https://refreshscience.com
  • 7. Machine Learning Uses: • Traffic prediction • Virtual Personal Assistant • Speech recognition • Email spam and malware filtering • Bioinformatics • Natural language processing 19-09-2022 https://refreshscience.com
  • 8. REAL TIME EXAMPLES FOR ML • TRAFFIC PREDICTION • VIRTUAL PERSONAL ASSISTANT • ONLINE TRANSPORTATION • SOCIAL MEDIA SERVICES • EMAIL SPAM FILTERING • PRODUCT RECOMMENDATION • ONLINE FRAUD DETECTION 19-09-2022 https://refreshscience.com
  • 9. 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, • Julia 19-09-2022 https://refreshscience.com
  • 11. Difference Between Machine Learning And Artificial Intelligence •Artifical 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. 19-09-2022 https://refreshscience.com
  • 12. 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. 19-09-2022 https://refreshscience.com
  • 13. Disadvantages of Machine Learning • It is very difficult to identify and rectify the errors. • Data Acquisition. • Interpretation of results Requires more time and space. 19-09-2022 https://refreshscience.com
  • 14. Thank you 😊 19-09-2022 https://refreshscience.com