Machine learning - machine learning technology - Electrical input

Thursday, April 18, 2019

Machine learning - machine learning technology





Machine learning is the study of statical models and algorithms that computers use to productively complete a particular task without using direct instruction, relaying on ornament and conclusion instead. Machine learning generate mathematical model based on illustrative data which is also known as training data, orderly make decision and prediction without being directly programmed to complete the task.

Applications for machine learning:-

1       1.      Agriculture
2       2.      Computer vision
3       3.    Computer Networks
4       4.       Bioinformatics
5       5.       Adaptive websites
6       6.       Anatomy
7       7.       Financial market analysis
8       8.       DNA sequence classification
9       9.       Machine learning control
1      10.     Medical diagnosis
1      11.     Telecommunication
        12.   General game playing
1      13.   Data quality
1      14.   Search engines
        15.   Optimization
        16.   User behavior analytics
        17.   Machine perception
        18.   Internet fraud detection
        19.   Anatomy
        20.   Brain-machine interfaces

Different types of learning algorithms

Ø  Supervised learning
Ø  Semi- supervised learning
Ø  Unsupervised learning
Ø  Reinforcement learning

Supervised learning:-
is the machine learning task that maps example  input and output pairs. In supervisor learning each pair of example be composed of an input object(vector) and a desired output which is also called supervisory signal. Supervisory learning algorithm examine training data and produce an deduce function, which can be used for mapping new example. In semi-supervised some of training example are missing the desired output.

Most widely used learning algorithms are:-
1.    Naive Bayes
2.    Decision trees
3.    K-nearest neighbor algorithm
4.    Linear regression
5.    Similarity learning
6.    Neural Networks
7.    Linear discriminant analysis

Unsupervised learning:-
is a type of machine learning which groups data that has not been labelled. Unsupervised algorithm used to draw intrusions data files which consisting of input data without labeled responses. With the help of cluster analysis a data analysis to find hidden pattern. Clustering or cluster analysis grouping a set of objects where objects in the same group.

Most common unsupervised learning algorithm:-

          1.    Clustering
          2.    k- means
          3.    OPTICS algorithm
          4.    Mixture models
          5.    Anomaly detection
          6.    Neural networks
          7.    Hebbian learning
          8.    Autoencoders
          9.    DBSCAN
         10.  Hierachical clustering

Reinforcement learning algorithm :-

It is the area of machine learning in which suitable action is taking to maximize some notion of progressive reward. Three basic concept in reinforcement learning state, action, reward. The state determine the current situation.

Application of reinforcement:-

         1.    Computer games
         2.    Online advertising
         3.    Robot control
         4.    Dialogue generation

27 comments:

  1. There will be numerous headways in AI, mechanical autonomy, nanotechnology, biotechnology and quantum registering. machine learning course

    ReplyDelete
  2. Took me technology to entre all of the observations, however I absolutely loved the article. It proved to be Very cordial to me and i am unconditional to all the commenters here! Its constantly clean whilst you can't on your own be informed, however with entertained! Guest Post

    ReplyDelete
  3. I think this is an informative post and it is very useful and knowledgeable. therefore, I would like to thank you for the efforts you have made in writing this article. Bolt Posts

    ReplyDelete
  4. Keep up the good work; I read few posts on this website, including I consider that your blog is fascinating and has sets of the fantastic piece of information. Thanks for your valuable efforts. it comparison

    ReplyDelete
  5. Your article has piqued a lot of positive interest.I can see why since you have done such a good job of making it interesting. Amar Mobile

    ReplyDelete
  6. I would like to say that this blog really convinced me to do it! Thanks, very good post. Best Treadmills Under 1000

    ReplyDelete
  7. You know your projects stand out of the herd. There is something special about them. It seems to me all of them are really brilliant! Wireless Keyboard and mouse Rechargeable

    ReplyDelete
  8. i never know the use of adobe shadow until i saw this post. thank you for this! this is very helpful. Make money with bitcoin trading

    ReplyDelete
  9. Very nice article, I enjoyed reading your post, very nice share, I want to twit this to my followers. Thanks!. techusa

    ReplyDelete
  10. Very Nice This is so Helpful Description for usI think this is an informative post and it is very useful and knowledgeable. therefore, I would like to thank you for the efforts you have made in writing this article.

    ReplyDelete
  11. Business Analytics Certification Course Overview
    The Professional Certification in Business Analytics is a foundation course for students and professionals who want to develop niche data skills for their chosen industry domain or function area. Become a Business Intelligence and Data Visualisation expert and surge ahead in your career. The nine-day Business Analytics certification course covers all the essential Analytical and Statistical techniques for effective business decision making. This programme introduces the student to the basic concepts of Python language.
    business analytics course

    ReplyDelete
  12. This is my first time I visit here. I found many interesting stuff in your site especially its discussion. From the tons of comments on your articles, I guess I am not the only one having all the enjoyment here keep up the good work. QUOTES ABOUT LOVE AND LIFE

    ReplyDelete
  13. In the past few decades there has been a revolution in computing and communications, and all indications are that technological progress and use of information technology will continue at a rapid pace. Accompanying and supporting the dramatic increases in the power and use of new information technologies has been the declining cost of communications as a result of both technological improvements and increased competition. According to Moore's law the processing power of microchips is doubling every 18 months. These advances present many significant opportunities but also pose major challenges. Today, innovations in information technology are having wide-ranging effects across numerous domains of society, and policy makers are acting on issues involving economic productivity, intellectual property rights, privacy protection, and affordability of and access to information. Choices made now will have long lasting consequences, and attention must be paid to their social and economic impacts. Inspiring Motivational Quotes in Urdu

    ReplyDelete
  14. Joe, I have read a few of your posts and I want to tell you that I like the consistent format of your blog. This goes well with one of the key points of this week's chapter, the importance of uniformity and consistency in the course design. I have worked really hard in my course to use templates for lesson activities, formative assessments, and summative assessments, all of which are housed in modules. Having that process and routine in place makes it an environment conducive to adding new technology tools and resources. I look forward to reading more of your blog posts! . Fitness Trackers Apple

    ReplyDelete
  15. Very good points you wrote here..Great stuff...I think you've made some truly interesting points.Keep up the good work. WRN-230 thermocouple

    ReplyDelete
  16. Positive site, where did u come up with the information on this posting?I have read a few of the articles on your website now, and I really like your style. Thanks a million and please keep up the effective work. Todek C1 Pro

    ReplyDelete
  17. Great post! I am actually getting ready to across this information, is very helpful my friend. Also great blog here with all of the valuable information you have. Keep up the good work you are doing here. Bitmain Antminer K15

    ReplyDelete
  18. Awesome article! I want people to know just how good this information is in your article. It’s interesting, compelling content. Your views are much like my own concerning this subject. techno tech blog

    ReplyDelete
  19. I see the greatest contents on your blog and I extremely love reading them. Antminer K15

    ReplyDelete
  20. The prerequisites for a PC program to breeze through the Turing Assessment are basic yet troublesome - the capacity to persuade an individual that the element that they are talking with is another person at any rate 30 percent of the time. cyber security course in hyderabad

    ReplyDelete
  21. Very nice article, I enjoyed reading your post, very nice share, I want to twit this to my followers. Thanks!. nodytalk

    ReplyDelete
  22. I am looking for and I love to post a comment that "The content of your post is awesome" Great work! salt spray test

    ReplyDelete
  23. Hello I am so delighted I located your blog, I really located you by mistake, while I was watching on google for something else, Anyways I am here now and could just like to say thank for a tremendous post and a all round entertaining website. Please do keep up the great work. Cisco

    ReplyDelete