Monday, April 14, 2014

All about 'R' and Analytics


Big Data Analytics


Machine Learning


 Starting with Machine Learning: Basics


This is a small attempt from my side to cover some basics of machine learning for people without any background for the same.After reading this post we should be able to find answers to these questions:

1. What actually is Machine-learning?
2. What are its subparts or sub-systems?
3. What is the future of Machine-Learning(ML)?
4. How and where is ML applicable and used?

So to start-with Machine-Learning is a branch of AI(artificial intelligence),involved in study and building of new intelligent-systems(computers),that can learn themselves from a given set of data,without being explicitly programmed.It allows computers to handle new situations via data-analysis,self-training,observation and experience. 

There are many complex algorithms involved to make these systems smart enough to analyse the data,find a certain pattern or logic and then based on these patterns form  some definite conclusions.

Over the period of time when similar data is processed and similar conclusions  or results arrived, these systems start recognizing the pattern and prediction the result or outcomes.

There is always a confusion between Machine-Learning and Data-mining:

Machine learning mainly focuses on prediction, based on known properties learned from the training data.The major focus of machine learning research is to extract information from data automatically, by computational and statistical methods.
Data mining on the other hand focuses on the discovery of (previously) unknown properties in the data.

As already mentioned that ML involves many complex algorithms in the background, these algorithms or learning-styles can be broadly classified as:

1. Supervised Learning
2. Unsupervised Learning
3. Semi-Supervised Learning
4. Reinforcement Learning



Friday, October 4, 2013

Know Big Data and Hadoop

Big Data Analytics and Hadoop


Dear Friends,

Nowdays we all are hearing a lot about Big Data,Hadoop, Analytics. Its like a new revolution in the technical world and already making a BOOM !

So many of you might be completely New to all this jagrons and some of you who might have heard of these terms ,now want to know more.

So what it is all about.

I am sharing few links below that provide you details of Big Data/Hadoop courses available and also the future n potential of these new technologies.

1.Edureka Online : http://sh.st/0wd1
2.Cloudera Courses: http://sh.st/0wdC
3.Apache Website for Hadoop : http://sh.st/0wdX
4.Hortonworks FB page: http://sh.st/0wlz
5.Edureka Hadoop Tutorials: http://sh.st/0wd1
6.Bookmytrainings Hadoop: http://sh.st/0wMO
7.OSSCube Hadoop training (NCR): http://sh.st/0wMP
8.Clodera Video "Programming with Hadoop" : http://sh.st/0wMA
9.Analytics India: http://sh.st/0wMG
10.VentureHire Analytics course,Bangalore: http://sh.st/0wMZ
11.EMC -Data Scientist courses: http://sh.st/0wMV
12.Jigsaw Academy (good Analytics couses): http://sh.st/0wM1
13.Foundation of Analytics: http://sh.st/0wM2
14.Data Scientist Certification (Jigsaw Academy): http://sh.st/0wM3


Articles on Big Data Analytics/Hadoop future and Growth-potential

1.Forbes Article: http://sh.st/0wMK
2.Times of India article: http://sh.st/0wMF
3.SAS institute article: http://sh.st/0wMJ

I would keep on updating this post with new sites and links as and when possible.

So keep FOLLOWING and keep yourself updated with the latest updates in the 'Big Data World'.