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Introduction to Machine learning

• by Refresh Science
• July 17, 2020 January 22, 2023

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.

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.

Uses of Machine Learning

Some of the machine learning algorithms are:

• Neural Networks
• Random Forests
• Decision trees
• Genetic algorithm
• Radial basis function

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Types of Machine Learning

There are three types of machine learning

Supervised learning

• Unsupervised learning
• Reinforcement learning

Supervised learning is a technique where the program is given labelled input data and the expected output data. It gets the data from training data containing sets of examples. They generate two kinds of results :

Classification: They notify the class of the data it is presented with.

Regression: they expect the product to produce a numerical value.

UNSUPERVISED LEARNING

This type of algorithm consists of input data without labelled response. There will not be any pre existing labels and human intervention is also less. It is mostly used in exploratory analysis as it can automatically identify the structure in data.

REINFORCEMENT LEARNING

This model is used in making a sequence of decisions. It is an learning by interacting with the environment. It is based on the observation that intelligent agents tend to repeat the action that are rewarded for and refrain from action that are punished for. It can be said that it is an trail and error method in finding the best outcome based on experience.

Machine Learning Uses:

• Traffic prediction
• Virtual Personal Assistant
• Speech recognition
• Email spam and malware filtering
• Bioinformatics
• Natural language processing

Real Time Examples for Machine Learning

Traffic prediction:.

By using GPS navigation service out location are saved at the central server for managing traffic. Based on the number of gps tracked at the location traffic at the particular Street is identified.

Virtual Personal Assistant: 

Smart Speakers, Smartphones and apps like google allo.

Online Transportation:

In apps like uber the available vehicle near our area, the estimated cost and distance of the travel are computed using this technique.

Social Media Services:

In app like Facebook personalizing our news feed, people you may know are done using Machine learning.

Email spam filtering:

There are number of approaches clients use. These filters are continuously updated and powered by machine learning.

Product Recommendation:

In online shopping while we search for a product all its relavant products are displayed in our screen . It is based on the technique of machine learning.

Online Fraud detection:

Tracking monetary frauds online by making cyber space a secure place is an example of machine learning.

Best Programming Languages for Machine Learning:

Some of the best and most commonly used machine learning programs are

• JavaScript,

Machine Learning vs Artificial Intelligence

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.

Advantages of ML

• 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.

Disadvantages of ML

• It is very difficult to identify and rectify the errors.
• Data Acquisition.
• Interpretation of results Requires more time and space.

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Machine Learning Infographics

Free google slides theme, powerpoint template, and canva presentation template.

Machine learning is the future of science! It allows computers to identify trends, patterns, manage data… and all that while improving themselves on their own! Since it is so profitable, machine learning and data science studies are becoming more and more common on universities and employers are always hiring. Explain how computers went from “Hello world!” to being almost independent with these infographics: they are full of editable resources so that you can explain neural networks, algorithms, the differences between supervised, unsupervised and reinforcement learning… Science won’t be complicated if you use visual elements like these to explain it!

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• 32 different infographics to boost your presentations
• Include icons and Flaticon’s extension for further customization
• Designed to be used in Google Slides, Canva, and Microsoft PowerPoint and Keynote
• 16:9 widescreen format suitable for all types of screens
• Include information about how to edit and customize your infographics

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Browse Course Material

Course info.

• Brandon Leshchinskiy

Departments

• Electrical Engineering and Computer Science

As Taught In

• Artificial Intelligence

Learning Resource Types

Presentation slide deck (pdf - 3 mb).

You are leaving MIT OpenCourseWare

Machine Learning , Tom Mitchell, McGraw-Hill.

Slides for instructors:.

Slides are available in both postscript, and in latex source. If you take the latex, be sure to also take the accomanying style files, postscript figures, etc.

• Ch 1. Introduction. ( postscript 3.8Meg), ( gzipped postscript 317k) ( pdf ) ( latex source )
• Ch 2. Concept Learning. ( postscript 347k), ( gzipped postscript 100k) ( pdf ) ( latex source )
• Ch 3. Decision Tree Learning. ( postscript 530k), ( gzipped postscript 143k) ( pdf ) ( latex source )
• Ch 4. Artificial Neural Networks. ( postscript 1.83Meg), ( gzipped postscript 329k) ( pdf ) ( latex source )
• Ch 5. Evaluating Hypotheses. ( postscript 212k), ( gzipped postscript 67k) ( pdf ) ( latex source )
• Ch 6. Bayesian Learning. ( postscript 261k), ( gzipped postscript 81k) ( pdf ) ( latex source ) see also slides on learning Bayesian networks by Friedman and Goldszmidt.
• Ch 7. Computational Learning Theory. ( postscript 160k), ( gzipped postscript 50k) ( pdf ) ( latex source )
• Ch 8. Instance Based Learning. ( postscript 138k), ( gzipped postscript 39k) ( pdf ) ( latex source )
• Ch 9. Genetic Algorithms. ( postscript 245k), ( gzipped postscript 72k) ( pdf ) ( latex source )
• Ch 10. Learning Sets of Rules. ( postscript 185k), ( gzipped postscript 57k) ( pdf ) ( latex source )
• Ch 11. Analytical Learning. ( postscript 261k)  ( pdf )   ( latex source )
• Ch 12. Combining Inductive and Analytical Learning. ( postscript 419k), ( gzipped postscript 103k) ( pdf ) ( latex source )
• Ch 13. Reinforcment Learning. ( postscript 172k), ( gzipped postscript 40k) ( pdf ) ( latex source )

Additional homework and exam questions:

Additional tutorial materials:, support vector machines:.

• Tutorial information on Support vector machines
• Freeware implementation : SVM Light by Thorsten Joachims.
• K .-R. Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf. An introduction to kernel-based learning algorithms . IEEE Neural Networks , 12(2):181-201, May 2001. ( PDF )

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Machine Learning

Download Machine Learning PowerPoint Templates for your Data Science Presentations. In this category you will find Professional Business Presentation Templates designed for  Machine Learning, including PowerPoint themes, PowerPoint Icons and ML metaphors.

Machine Learning is a term used for describing a field in computer science which makes use of statistical methods to create algorithms capable of learning through data, without programming explicit routines or rules. SlideModel.com Machine Learning presentations are created to describe this field of study in a generic overall approach and with a business audience in mind.

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Presenting The First Step of Machine Learning Data Collection. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. All slides are customizable. You can add or delete the content as per your need. Download this professionally designed business presentation, add your content, and present it with confidence.

Presenting The Second Step of Machine Learning Data Preparation. This slide is well crafted and designed by our PowerPoint specialists. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. You can add or delete the content as per your need.

Presenting Third Step of Machine Learning Process Choosing a ML Model. These slides are 100 percent made in PowerPoint and are compatible with all screen types and monitors. They also support Google Slides. Premium Customer Support is available. Suitable for use by managers, employees, and organizations. These slides are easily customizable. You can edit the color, text, icon, and font size to suit your requirements.

Presenting Fourth Step of Machine Learning Process Training the Model. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. All slides are customizable. You can add or delete the content as per your need. Download this professionally designed business presentation, add your content, and present it with confidence.

Presenting Fifth Step of Machine Learning Process Model Evaluation. This slide is well crafted and designed by our PowerPoint specialists. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. You can add or delete the content as per your need.

Presenting Sixth Step of Machine Learning Process Parameter Tuning. These slides are 100 percent made in PowerPoint and are compatible with all screen types and monitors. They also support Google Slides. Premium Customer Support is available. Suitable for use by managers, employees, and organizations. These slides are easily customizable. You can edit the color, text, icon, and font size to suit your requirements.

Presenting Seventh Step of Machine Learning Process Making Predictions. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. All slides are customizable. You can add or delete the content as per your need. Download this professionally designed business presentation, add your content, and present it with confidence.

Presenting Various Advantages of Machine Learning. This slide is well crafted and designed by our PowerPoint specialists. This PPT presentation is thoroughly researched by the experts, and every slide consists of appropriate content. You can add or delete the content as per your need.

Presenting Various Disadvantages of Machine Learning. These slides are 100 percent made in PowerPoint and are compatible with all screen types and monitors. They also support Google Slides. Premium Customer Support is available. Suitable for use by managers, employees, and organizations. These slides are easily customizable. You can edit the color, text, icon, and font size to suit your requirements.

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E- learning Slide PPT

Easy to change colors All images included Easy to edit in PowerPoint Drag & drop friendly

learning Best PowerPoint Templates

Modern, simple, and clean design Fully editable content (graphics and text) via PowerPoint - No Photoshop needed! Easy to change colors Free font used Beautiful presentation decks and templates

learning Business Innovation elegant ppt templates

Possible to change shape and color properties Completely editable presentation template Premium & modern multipurpose For professionals and educators Startups & Business executives All elements are editable

Typewriter - Free Design Template

Professional business presentation No animation template Clean, modern, and creative slides Standard (4x3) version of this template also available.

Free Presentation Templates - Machine and Components

Easy to edit in PowerPoint Creative and innovative presentation slides Trend template Easily editable data driven charts (pie, bar, line)

Free Design Template - Machine Components

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Free PPT Sample - Sewing Machine

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learning Skating - PowerPoint Download Free

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Online Teaching and learning Best Presentation Design

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Online learning design ppt

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Home learning System Template Design Marketing Presentation PPT

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Online Teaching learning template powerpoint

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Old paper and Typewriter Mockup PPT

typewriters, typing, retro, classic, old, author, paper, insert text, message, note, to write, mockup ppt design, text, antiques, pen, handwriting, stationery, mockup template, mockup, diary, blank pages, mockup ppt, template, paper mockup, vintage typewriter, vintage typewriter, mockup design, vintage, type, letter, lettering

Lifelong learning PPT Slide

Modern, simple, and clean design Professional business presentation Modern layouts based on master slides Easy to edit in PowerPoint Created by professionals

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