NLP
- BLOCK CHAIN
- C Language
- C# Tutorial
- C++ Tutorial
- CCNA
- Cloud Computing Tutorial
- CSS3
- Data Science Tutorial
- GO Language
- HTML5 Course
- IoT
- Java Tutorial
- JavaScript
- JQuery
- Linux
- Machine Learning Tutorial
- MongoDB
- My SQL
- Neural Network
- Node.js
- Oracle SQL
- PHP
- PostgreSQL
- PYTHON DSA
- Python Tutorial
- Quantum Computing Tutorials
- R Tutorial
- React JS Tutorial
- Ruby
- Rust Tutorials
- TypeScript
- VLSI
Neural Language Models (NLMs): The Future Of AI Language
What is Neural Language Models?
Neural Language Models (NLMs) use neural networks to carry out language modeling tasks, such as predicting future words and giving...
What Is NLP Fine Tuning, Benefits And How It’s Work?
NLP Fine Tuning
In natural language processing, fine-tuning is an essential method, especially with contemporary deep learning models.
Definition of Fine Tuning in NLP
The act of...
Transfer Learning NLP: Applying Knowledge Across Tasks
Transfer Learning NLP
In Natural Language Processing (NLP), transfer learning is an important approach that applies knowledge learnt from training a model on one task...
Understanding The Difference Between Deep Learning And NLP
This article discusses the difference between deep learning and NLP (natural language processing), as well as common deep learning frameworks for NLP applications.
For NLP,...
Feature Engineering NLP Making Text Accessible For Machines
Feature engineering is a crucial stage in Natural Language Processing (NLP) since it structures raw text data for machine learning algorithms. Most computers and...
Understanding Difference Between Machine Learning And NLP
This blog discusses machine learning in natural language processing (NLP) and covers topics such as what is machine learning, key concepts and techniques, applications...
Word Embedding NLP: Language Representation Exploration
Word Embedding NLP
In Natural Language Processing, word embeddings are a feature learning technique that maps vocabulary words to vectors of real numbers. Known as...
Generative and Discriminative Models Applications & Examples
The contrast between generative and discriminative models is important for NLP tasks like sequence prediction and parsing.
The two categories of models are broken out...
Understanding Dependency Grammar NLP Sentence Structure
Dependency grammar And Dependency parsing
What is Dependency Grammar?
One important framework for explaining the syntactic structure of sentences is dependency grammar. Dependency grammar does not...
What Is Treebank NLP? Beyond Part Of Speech Tagging
Treebank NLP
Treebanks are corpora with linguistic annotations that go beyond part-of-speech labelling and incorporate some form of syntactic analysis. These are sets of sentences,...
Latest Articles
Ubuntu Operating System: History, Features And Advantages
Ubuntu Operating System
One of the most widely used Linux...
What Is Linux Distributions (Distros)? Types And Features
Linux Distributions
The Linux kernel is used to create Linux...
Linux Shell Scripting Best Practices For Writing Scripts
Shell scripting best practices
A shell script is rarely a...
Scenario Based Shell Scripting Interview Questions For Linux
This blog discusses scenario based shell scripting interview questions...
Shell Script Compiler SHC: Features, Usage, And Examples
Shell script compiler shc
To turn shell scripts into executable...