Decomposition of data analytics

Data analytics is combination of data science , deep learning and big data (+7TB)

Data science : math, structured data(text) and machine learning through algorithm

Deep learning :Image,video and unstructured data (text). (prediction of behaviour )

Big data :distributed storage and distributed computation

Best Tools now (2017):

Data science : python with ide spyder and sklearn package (Google summer code)

Deep learning : tensor flow (google)

Big data : Spark (IBM)

Problem definition Data analytics solves

Problem is 2 type :

1. Predictive analysis

1. classification
2. regression
3. recommendation

2.Descriptive analysis

1. clustering
2. anomaly detection
3. dimension reduction
4. Market-basket

1.1: Classification:

• majority
• random
• human discovery
• machine discovery

Coming Soon ....