Is Machine Leaning that important......

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Tech 14#

 Is Machine Learning that important...

 Today we will learn what machine learning is...
Well most of the people don't know what machine learning is.Here is the answer Machine learning is the subfield of computer science that, according to Arthur Samuel, gives "computers the ability to learn without being explicitly programmed.Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "machine learning" in 1959 while at IBM. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence,machine learning explores the study and construction of algorithms that can learn from and make predictions on data such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions,through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach,optical character recognition (OCR),learning to rank, and computer vision.


As you can see in the above picture the machine or the robot is trying to learn all by itself.

Or in other words it can be defined as Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it.

 Here is an example of machine learning where in the code is written in Python
Here is the output I get on my OS X workstation:
Well the above code just prints the various versions ..

List of Common Machine Learning Algorithms

Here is the list of commonly used machine learning algorithms. These algorithms can be applied to almost any data problem:
  1. Linear Regression
  2. Logistic Regression
  3. Decision Tree
  4. SVM
  5. Naive Bayes
  6. KNN
  7. K-Means
  8. Random Forest
  9. Dimensionality Reduction Algorithms
  10. Gradient Boost & Adaboost
Here are the some lists of the algorithms.More about this I will let you know in my next Blog ....
In next generation machines will   conquer the world.........





















































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