Machine Learning

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed to do so.  Machine learning and statistics are closely related fields. According to Michael I. Jordan, the ideas of machine learning, from methodological principles to theoretical tools, have had a long pre-history in statistics.  He also suggested the term data science as a placeholder to call the overall field

Statistics is just about the numbers, and quantifying the data. There are many tools, mathematical formulas and functions for finding relevant properties of the data but this is pretty close to pure mathematics.

Data Mining is about using Statistics as well as other programming methods to find patterns hidden in the data so that you can explain some phenomenon.  Human intervention is needed to perform Data mining process on data.

Machine Learning uses Data Mining techniques and other learning algorithms to build models of what is happening behind some data so that it can predict future outcomes. Math is the basis for many of the algorithms, but this is more towards programming. This is autonomous computer program which will build model to be utilized by applications and AI.

Artificial Intelligence (The Past)

Artificial intelligence (AI, also machine intelligence, MI) is Intelligence displayed by machine.  AI machine should be programmed explicitly to perform some task.  Only operates successfully in very constrained environment.  But still bulk of decision has to be made by Humans.

Machine Learning (Today)

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed to do so.  Machine learning and statistics are closely related fields.  Machine learning subfield of AI, basically it uses Math/Statistical analysis of data to predict future and make decisions.

Deep Learning (The Future)

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised or unsupervised.  It is a future of AI.  Deep learning contains multiple layer of Machine learning algorithms as below.  Deep learning is most powerfull than earlier Machine learning methods.  It produces more accurate prediction than our earlier version of AI technologies as it has more layer ins evolution process.

What is Machine learning processes in real world?

Below are few machine learning activities in real world scenarios.

Below are popular technologies which are being used and involved in machine learning era.

Machine Learning Process

Below explains basic Machine learning process.

Closer look at Machine Learning Process

Below points explain some closer details about Machine learning process and activities.