#2 - Big Data Analytics & Visualization | Big data characteristics | Types of Bigdata

#1 - Big Data Analytics & Visualization Syllabus Structure

32 -Dimensionality Reduction | AIML | Principal Component Analysis | Linear Discriminant Analysis

31 - Kernel Machines & Ensemble Methods| AIML | Adaboost | Difference between Boosting and Bagging

30 - Kernel Machines & Ensemble Methods| AIML | Support Vector Machine | Hyperplane | Maximum Margin

29 - Kernel Machines & Ensemble Methods| AIML | Support Vector Machine | Hyperplane | Maximum Margin

28 - Kernel Machines & Ensemble Methods| AIML | Support Vector Machine |Linearly Separable Hyperplan

27 - Forecasting and Learning Theory | AIML | Hard and Soft Clustering | Expectation Maximization

26 - Forecasting and Learning Theory | AIML | Hard and Soft Clustering | Expectation Maximization

25 - Forecasting and Learning Theory | AIML | Bayesian Belief networks | Bias/ Variance Tradeoff

24 - Forecasting and Learning Theory | AIML | Numerical on Logistic Regression | Random Forest

23 - Forecasting and Learning Theory | AIML | Linear Regression | Logistic Regression

22 - Introduction to Machine Learning | AIML | Decision Tree Algo | KNN algo

21 - Introduction to Machine Learning | AIML | AI v/s ML | Data Mining v/s ML v/s Big Data

20 - Introduction to Machine Learning | AIML | What is Machine Learning?

19 - Artificial Neural Network | AIML | Backpropagation Network

18 - Artificial Neural Network | AIML | Activation Function | Multi Layer Perceptron Architecture

17 - Artificial Neural Network | AIML | Perceptron Learning Algorithm for Single output unit

16 - Artificial Neural Network | AIML | Activation Function | Numerical on Activation function |

15 - Artificial Neural Network | AIML | Architecture of ANN | Activation Function

14 - Artificial Neural Network | AIML | What is Neural Network? | McCulloch-Pitts Model

11 - Search Strategies | AIML | Alpha Beta Pruning Algorithm | Alpha beta search algorithm

13 - Search Strategies | AIML | Constraint Satisfaction | Means-Ends Analysis Algorithm

12 - Search Strategies | AIML | AO* Algorithm

10 - Search Strategies | AIML | A* Algorithm

9 - Search Strategies | AIML | Heuristic Search | 8 puzzle problem | Hill Climbing Algorithm | BFS

8 - Search Strategies | AIML | Types of Search Algorithms | BFS | DFS

7 - Search Strategies | AIML | Problem solving search and strategies | Water Jug Problem

6-Introduction to Artificial Intelligence | AIML | FOL | Forward chaining | Backward Chaining

5-Introduction to Artificial Intelligence | AIML | Propositional & Predicate Logic | Quantifiers

4-Introduction to Artificial Intelligence | AIML | Types of Agents | Simple Reflex Agent

3-Introduction to Artificial Intelligence | AIML | PEAS Representation | Agent Environments

2-Introduction to Artificial Intelligence | AIML | History & Application of AI | Types of AI | Agent

1-Introduction to Artificial Intelligence | AIML | Artificial Device | Turing Test

Pentaho BI Tutorial | Data and ETL process in Pentaho| Pentaho Data Integration | Hands on Training

Tableau Desktop Crash Course | Tableau Tutorial | Big Data Analytics and Visualization

Part: 3 | MongoDB Queries on Mongo Shell using MongoDB ATLAS

Part: 2 | Installation of MongoDB Community Server & MongoDB Shell using MongoDB ATLAS

Part: 1 | MongoDB Tutorial | What is NoSQL Database? | What is MongoDB?

15 - PIG Tutorial | Pig Script using Hue Browser | |HandsOn Lab | Cloudera Quickstart VM

14 - PIG Tutorial | Script Programming | Word Count Program | Pig HandsOn Lab | Cloudera VM

12 - PIG Tutorial | Architecture | Pig Latin Data Model | Cloudera Quickstart VM

13 - PIG Tutorial | Script Programming | Apache Pig HandsOn Lab | Cloudera Quickstart VM

11 - Hive Static and Dynamic Table Partition | HQL | Index & View | Cloudera| Hands on Training

10 - Hive Query Language Tutorial | HQL | Working with Joins | Cloudera| Hands on Training

9 - Hive Query Language Tutorial | HQL | Cloudera| Hands on Training

8 - MapReduce Program 4- Matrix Multiplication | Cloudera Hadoop MapReduce | Hands on Training

7 - MapReduce Program 3- Sorting | Cloudera Hadoop MapReduce Programming | Hands on Training

6 - MapReduce Program 2- Average word count | Cloudera Hadoop MapReduce | Hands on Training

Part 3 : Oracle Live SQL | Rollup and Cube Queries | Hands on Training

Part 2 : Oracle Live SQL| Group by and Having Queries | Hands on Training

Part 1 : Oracle Live SQL | Introduction | Basic SQL Queries | Hands on Training

5 - MapReduce Program 1- Word Count | Cloudera Hadoop MapReduce Programming | Hands on Training

4 - MapReduce with example | Hadoop MapReduce understand quickly | Big Data Analytic & Visualization

3 - Hue browser | Cloudera Manager | Cloudera Quickstart VM | Big Data Analytic & Visualization

2 - HDFS commands | Cloudera Quickstart VM | Hadoop cluster | Cloudera Manager

1- Cloudera Quickstart VM installation | Hadoop Cluster | HDFS | Big data analytics & visualization

Part: 4 | R Programming | Basics of R and Data Acquisition | MCA Sem 1 | ADMS LAB | MU

Part: 3 | R Programming | Basics of R and Data Acquisition | MCA Sem 1 | ADMS LAB | MU

Part: 2 | R Programming | Basics of R and Data Acquisition | MCA Sem 1 | ADMS LAB | MU