AI ML DL DS

·         AI: Artificial Intelligence

·         ML: Machine Learning

·         DL: Deep Learning

·         DS: Data Science.

·         AI: enable machine to think. That means without any human intervention machine will take decision.

o   E.g Driverless CAR

·         ML: Machine learning is subset of AI, provide statistical tools to explore and analyze the data

o   There are 3 different approaches

ü Supervised

ü Un-supervised

ü Reinforcement learning / semi supervised ML

o   Supervised: we will have data in hand to be processed, past labeled data and we know what will        be output of data

o   Un-supervised: we don’t have data, we solve clustering problem.  Clustering mean based on similarity of data it will try to group data together. We have 3 different algorithm K Means clustering, db scan clustering, Hierarchical clustering

o   Reinforcement learning / semi supervised ML: Some part of data will be labeled, and some will not be learned, in this model computer learn slowly using past data and new data

·         Deep Learning: Multineural network architecture, make machine to learn like human.

o   ANN : Artificial neural network , if data is in form of number we use ANN

o   CNN : Convolutional neural network , if  data is in form of images we use CNN

o   TL (Advanced Neural network based on CNN)

o   RNN : Recurrent neural network , if our data  is in form of time series data

·         Data Science: use all above technique and use mathematical tool like statistic, probability and linear analyses