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OnTimeNotes @UCoBcIq2aNNvnb1EX_NA_efw@youtube.com

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Welcome to OnTimeNotes! At OnTimeNotes, we simplify complex


09:30
9. Inter-Process Communication (IPC) in Operating System |
02:57
8. What is Mutual Exclusion in Operating Systems? | Understanding Mutual Exclusion in OS | OS
06:17
7. What is Concurrency in OS? | Concurrency: Principles of Concurrency in Operating Systems | OS
08:06
11. The Extended Entity Relationship (EER) Model | Generalization, Aggregation & Specialization | OS
03:47
6.Introduction to Multi-Threading in Operating Systems | Concept of Multi-Threading | OS
11:10
10. Relationship Constraints: Cardinality & Participation | DBMS: Cardinality & Participation | DBMS
03:02
9. Difference Between Strong Entity & Weak Entity | Strong Entity vs. Weak Entity | DBMS
10:35
8. Understanding Attributes in DBMS: Types & Examples | Attributes and Their Types in DBMS | DBMS
09:56
7. What is Entity ? It's Types & Sets | Entity Types : Strong & Weak | Sets : Strong & Weak | DBMS
06:28
6. ER-MODEL : Entity Relationship Model | Entity-Relationship Model for Database Design | DBMS
04:09
5. Introduction to Threads in Operating Systems | Threads & Types of Threads in OS | OS
11:34
4. Process, Process States & Process Control Block (PCB) | Process States & PCB Explained | OS
05:12
5. What is Database Administrator (DBA) | Types of Database Administrator (DBA) | DBMS
06:28
4. Data Abstraction and Data Independence in DBMS | Layers of Data Abstraction in DBMS | DBMS
10:06
3. DBMS Architecture : 1-Tier, 2-Tier, 3-Tier | DBMS Architecture Explained | DBMS
04:04
2. File System vs Database Approach | Differentiate between File System and Database Approach | DBMS
05:44
1. Introduction to Database Management System (DBMS) | Characteristics & Types of DBMS | DBMS
11:25
3. Linux Kernel, Shell, and System Calls | Types of System Calls in Linux | OS
10:45
2. Operating System Structures | Simple, Layered, Monolithic & Microkernel OS Structures | OS
11:18
1. Introduction to Operating System | Objectives, Functions & Evolution of Operating System | OS
07:52
17. Suffix Array & Suffix Tree with Example | Suffix Array and Suffix Tree: Simplified | IR
06:45
16. TF-IDF Weighting | TF-IDF: Term Frequency-Inverse Document Frequency Explained | IR
01:51
How to Pass Information Retrieval | Must do IR Questions | Semester 7 | IR
07:16
15. Pattern Matching in Information Retrieval | Role of Pattern Matching in IR | IR
07:02
14. Taxonomy of Information Retrieval Models | Understanding IR Model Taxonomy | IR
03:58
13. Difference Between Flat Browsing & Hypertext Browsing | Flat Browsing vs Hypertext Browsing | IR
05:02
12. Automatic Local Analysis vs Automatic Global Analysis | Local vs Global Analysis | IR
08:05
11. Inverted Files in Information Retrieval | How Inverted Files Work in Information Retrieval | IR
05:58
10. Process of Structured Text Retrieval Model | How Structured Text Retrieval Works | IR
08:40
9. Evaluation of Ranked & Unranked Retrieval results | Ranked & Unranked Retrieval Metrics | IR
05:28
8. What is Keyword based Queries ? | Types of Keyword Based Queries | IR
07:59
7. The Retrieval Process | Understanding the Retrieval Process in Information Retrieval | IR
08:11
6. Multimedia Information Retrieval (MIR) | How Multimedia Information Retrieval Works | IR
04:58
5.Distributed Information Retrieval (DIR) | Phases of Distributed Information Retrieval | IR
07:39
4. Information Retrieval in Library, Web & Digital Libraries | IR
06:43
3. Trends & Research Issues in Information Retrieval | Trends and Challenges in IR | IR
03:09
2. Information vs Data | Difference between Information & Data in Information Retrieval | IR
08:28
1. Introduction to Information Retrieval | Information Retrieval: Applications and Key Concepts | IR
01:41
How to Pass Natural Language Processing | Must do NLP Questions | Semester 7 | NLP
03:09
16. Applications of Machine Translation Explained | NLP
03:20
15. What is a Question Answering System (QAS)? | Types of QAS, Applications & Challenges | NLP
08:50
14. Designing FSA for English Numbers (1-99) | Finite State Automata (FSA) for Nouns and Verbs | NLP
03:27
13. What is Text Summarization? Extractive & Abstractive, Applications & Challanges | NLP
02:42
12. Yarowsky Bootstrapping Approach | How Yarowsky’s Bootstrapping Approach Resolves Ambiguity | NLP
02:35
11. Hobbs Algorithm for Pronoun Resolution Explained | How Hobbs Algorithm Works | NLP
05:04
10. Word Sense Disambiguity (WSD) | Dictionary Based Approach for Word Sense Disambiguity | NLP
04:00
9. Porter Stemming Algorithm in NLP | Understanding Porter Stemming Algorithm with Examples | NLP
01:14
How to Pass Management Information System | Must do MIS Questions | Semester 7 | MIS
01:29
24. Cloud Computing Models Explained: IaaS, PaaS, SaaS | Types of Cloud Service Models | MIS
01:27
23. Differentiate Between Wired & Wireless Network | Comparing Wired and Wireless Networks | MIS
02:03
22. What is Cloud Computing? | Types of Cloud Computing: Public, Private, Hybrid | MIS
01:55
21. What is Enterprise Resource Planning (ERP)? | Enterprise Resource Planning (ERP) Explained | MIS
03:10
20. What is TPS? | Transaction Processing Systems: Features & Benefits Explained | MIS
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