02:40

8. Homonymy, Polysemy, Synonymy, Antonymy, Hypernomy, Hyponymy & Meronymy | NLP

01:52

7. Understanding the Benefits of Tokenization in Natural Language Processing (NLP) | NLP

02:07

6. Approaches to POS Tagging in NLP | Exploring Different Approaches to POS Tagging | NLP

02:28

5. Applications of Natural Language Processing (NLP) | NLP

01:35

4. Challenges in Natural Language Processing (NLP) | NLP

01:28

3. Stemming vs Lemmatization | Differentiate between Stemming & Lemmatization | NLP

02:53

2. Ambiguity in NLP | Different levels of Ambiguities in NLP | NLP

02:08

1. What Is NLP? Stages of Natural Language Processing Explained | NLP

02:24

19. What Is M-Commerce? Types Explained | Introduction to M-Commerce and Its Types | MIS

02:45

18. Functional Areas of Information Systems Explained | MIS

02:33

17. Web 1.0 vs Web 2.0 vs Web 3.0 | Difference Between Web 1.0, 2.0 & 3.0 | MIS

02:55

16. What is E-Business? | Types of E-Business: B2B & B2C | MIS

03:42

15. What is CRM? Types of Customer Relationship Management Explained | MIS

02:10

14. How the Threats Affect Information System Security | MIS

02:26

13. What is E-commerce? Explained with Activities | MIS

02:44

12. Types of Threat of Information System Security | Threats of IS security | MIS

04:41

11. Types of Information Systems | Understanding Information Systems and Their Types | MIS

01:22

10. Impact of Business Intelligence on Decision Making | BI and Its Role in Decision Making | MIS

01:29

9. Difference Between Management Information Systems (MIS) and Business Intelligence (BI) | MIS

02:03

8. Business Intelligence Explained | How BI is Implemented & It's Function | MIS

02:15

7. Data Warehouse & Data Mart in an Organization | MIS

02:50

6. Knowledge Management Life Cycle | Knowledge Management Process | MIS

01:50

5. What is Big Data? Types and 5 V’s Explained | Characteristics and Types of Big Data | MIS

04:11

4. DBMS and Types of Databases | What is DBMS? Exploring Different Database Types | MIS

01:50

3. Impact of Information System on Society | Positive and Negative Effects of IS on Society | MIS

01:38

2. Impact of Information System on Organization | MIS

02:00

1. Introduction to Management Information Systems (MIS) Explained | MIS

02:42

21. Content-Based System & Collaborative Filtering System | BDA

01:21

20. How NoSQL Systems Handle Big Data Problems | Why NoSQL is Built for Big Data | BDA

01:48

How to Pass Big Data Analytics | BDA Important Questions | Must do BDA Questions | Semester 7 | BDA

07:12

19. Bloom Filter | Bloom Filter with Example Explained | BDA

05:17

18. Flajolet-Martin Algorithm Explained | Counting Distinct Elements in a Stream | BDA

03:32

17. DGIM Algorithm Explained: Counting 1’s in Data Streams | DGIM Algorithm for Big Data Streams

05:27

16. R Scripting Basics: Tables, Subsets, and Sorting | How to Create and Manipulate Data Tables in R

02:47

15. Recommendation Systems with Examples | How Recommendation Systems Enhance User Experience | BDA

05:02

14. Data Stream Management Systems Explained | DSMS Architecture Overview | BDA

05:00

13. NoSQL Data Architecture Patterns | Key Value, Column Store, Document Store & Graph Databases

01:50

12. Data Visualization in Big Data Analytics | Best Data Visualization Tools for BDA | BDA

02:04

11. Sampling Data Techniques in a Stream (Fixed Proportion, Fixed Size, Biased Reservoir & Concise)

02:40

10. Issues in Stream Processing Explained | Key Challenges in Stream Processing | BDA

02:08

How to Pass Machine Learning | ML Important Questions | Must do ML Questions | Semester 7 | ML

03:01

#32 Kernel Trick in SVM: Explained Simply | SVM Kernel Trick: How It Works & Why It’s Important | ML

01:54

#31 Differentiate Logistic Regression & Support Vector Machine (SVM) | ML

01:36

9. Difference Between SQL & NoSQL | SQL vs NoSQL: Key Differences Explained | SQL vs NoSQL | BDA

01:31

8. NoSQL Business Drivers Explained | Understanding Velocity, Variability, Agility, & Volume | BDA

01:56

7. Introduction to NoSQL | Understanding NoSQL Databases – Types, Advantages, & Disadvantages | BDA

01:36

6. What are the Limitations of Hadoop in Big Data? | Hadoop Limitations: What You Need to Know | BDA

04:20

5. Hadoop Ecosystem Explained | Understanding the Hadoop Ecosystem: Core Components and Tools | BDA

05:16

4. Hadoop Components Explained: HDFS, MapReduce, YARN, and Common | Components of Hadoop | BDA

01:06

3. What is Hadoop? | Features of Hadoop | What is Hadoop? Overview and Core Features | BDA

01:55

2. Big Data vs. Traditional Data | Difference Between Traditional Data and Big Data | BDA

02:24

1. What is Big Data Analytics ? | The 5 V’s of Big Data | Types of Big Data Explained | BDA

01:38

#30 What is Singular Value Decomposition (SVD)? | SVD in Machine Learning Explained | ML

01:46

#29 What is Linear Discriminant Analysis (LDA)? | LDA in Machine Learning Explained | ML

03:03

#28 What is Principal Component Analysis (PCA) ? | Understanding PCA in Machine Learning | ML

02:24

#27 Dimensionality Reduction Explained | Dimensionality Reduction in ML: PCA & LDA | ML

04:30

#26 DBSCAN Clustering Explained | DBSCAN Clustering: How It Works | Density Based Clustering | ML

02:48

#25 EM Algorithm Explained: Expectation-Maximization in ML | How the EM Algorithm Works | ML

03:14

#24 What is Minimal Spanning Tree (MST) Explained | Graph Based Clustering | ML

02:40

#23 Distance Metrics in Clustering Explained | Euclidean, Manhattan, Minkowski & Cosine Similarity