MenuPost an ad
Search Filters Sort by Post an ad
All results
Create an alert


Posted by Arivon Technologies on 03/12/2018
Type of ad Professional Offer
Machine learning is A branch of artificial intelligence, concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data. As intelligence requires knowledge, it is necessary for the computers to acquire knowledge.
It is very difficult to categorize to all the decisions based on all possible inputs. So to solve this problem, algorithms are developed. These algorithms are developed based on specific data and past experience with the principles of statistics and probability theory , logic ,search.
The developed algorithms form the basis of various applications such as:
•Vision processing
•Language processing
•Forecasting (e.g., stock market trends)
•Pattern recognition
•Data mining
•Expert systems

Machine learning algorithms are often categorized as
I.Supervised machine learning algorithms
II.unsupervised machine learning algorithms
III.Semi-supervised machine learning algorithms
IV.Reinforcement machine learning algorithms
Supervised machine learning algorithms:
Supervised learning deals with learning a function from available training data. A supervised learning algorithm analyzes the training data and produces an inferred function. Some common examples are,
•classifying e-mails as spam,
•labeling web pages based on their content, and
•voice recognition.
There are some supervised algorithms such as neural networks, Support Vector Machines (SVMs), and Naive Bayes classifiers.
Unsupervised machine learning algorithms:
Unsupervised learning is an extremely powerful tool for analyzing available data and look for patterns and trends. It is most commonly used for clustering similar input into logical groups. There are some common approaches such as,
•self-organizing maps, and
•hierarchical clustering
Semi-supervised machine learning algorithms:
Semi-supervised is comes between supervised and unsuperv

Don't forget to mention Vivastreet when you get in touch!
Beware of scammers.
Click here to read more

Your message has been successfully sent!

Receive email notifications for new ads matching your search criteria :

Don't forget to mention Vivastreet when you get in touch!

Your message has been successfully sent!