Introduction to Machine Learning by Pradip Gadekar.
Welcome
to my new blog on “Introduction to Machine Learning”. Machine Learning is most
recent exciting technology because Machine Learning developed a new capability
of computers and it grew out of Artificial Intelligence. Today’s Machine
Learning touches many segments of IT industry and Computer Science.
As per Arthur Samuel (1959) the definition of Machine Learning: It is field of Computer Science that gives computer or computing machine ability to learn without being explicitly programmed .
There are mainly 2 Machine Learning Algorithms Types,
As per Arthur Samuel (1959) the definition of Machine Learning: It is field of Computer Science that gives computer or computing machine ability to learn without being explicitly programmed .
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| fig. Machine Learning by Pradip Gadekar. |
There are mainly 2 Machine Learning Algorithms Types,
1. Supervised
learning: where the algorithm generates a function that maps inputs to
desired outputs.
2.
Unsupervised
learning : which models a set of inputs: labelled examples are not available.
Now I am telling about existing output example of Machine Learning , many time search Internet or you put your quarry to search engine like google,bing etc these search engine developed their own learning algorithm for "How to rank Webpages on Web?",another example is every tome you uses Facebook photo tagging to automatic identification of your photo is also Machine learning algorithm developed by Facebook.
Some Software suites containing a variety of machine learning algorithm is,Neural Designer, Amazon Machine Learning, IBM SPSS Modeler,TensorFlow,Mathematica, NeuroSolutions, Oracle Data Mining, RCASE,Microsoft Azure Machine Learning,MATLAB.
Finally thank you for sparing your valuable time on reading my blog and stay connected for my next blog about TensorFlow:An open-source software library for Machine Intelligence.
Can we use ML for self driving cars?
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