Digital Fluency

WELCOME TO DIGITAL FLUENCY SECTION CLICK ON THE BELOW CHAPTERS TO VIEWS : Click here to open digital fluency full text book issued by University of Mysore CHAPTER 01 :   Artificial  Intelligence( click here) CHAPTER 02 :  Database Management for Data Science, Big Data Analytic( PDF ) CHAPTER 04 :  Cloud Computing( PDF ) Due to some reason, remaining chapters are removed...

  01. How does database management works explain with examples?    Ans: Basically, Instagram recognizes accounts that are more or less similar to one another by adopting a machine learning technique termed “ word embedding ”. This technique deciphers the order in which words appear in the text in order to measure how connected they are. Instagram uses the   same technique   to decipher and comprehend how connected any two accounts are to each other. 02. What are the process of Data Analytics ?   Ans: 01. Data 02.  Information 03. Insight  04. Analysis 03.What are the tools and technologies of big data ?   Ans: 01. Apache Hadoop 02. Apache Hive 03. Apache Mahout 04. Apache Pig 05. Apache Thrift 06. Apache zookeeper 07. Apache Kafka 08. Apache Spark 09. No SQL 03. What are the source of big data?   Ans: 01. large data files 02. advanced analytics or analysis 03. data from social networks 04. unstructured data 05....

01.What is AI? Ans: AI is techniques that help machines and computers mimic human behaviour. Or in simple words, AI is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals. 02.What is machine learning? Ans: Machine Learning is the general techniques or variety of techniques that make the device smart. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. 03.What is deep learning? Ans Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behaviour of the human brain, allowing it to “learn” from large amounts of data. 04.Give an example for AI? Ans: a. Typing using software :  While typing reports using any word-processor, wrong spellings or incorrect grammar is highlighted. We also are exposed to a...