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Contents of Natural Language Processing

below you can see the sample video

This sample video will give you an idea of the course, how are the topics are and instructor's teaching style.

The actual course materials are available here.

Pre-Requisites are mentioned below

  • Mathematical Foundations like linear algebra,calculus,discrete Mathematics,Probability and Statistics

  • Programming Skills - Python is highly recommended due to its extensive libraries like NumPy, Pandas,TensorFlow, and PyTorch.

  • AI-Specific Knowledge- Learn how they work, including feedforward, backpropagation, and activation functions.

  • Machine Learning Basics - Understand supervised and unsupervised learning concepts.

Course Content

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Course 1: Introduction to Programming

  • Lesson 1: Basics of Programming

  • Lesson 2: Variables and Data Types

  • Lesson 3: Conditional Statements

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Course 2: Web Development

  • Lesson 1: HTML & CSS Fundamentals

  • Lesson 2: JavaScript Basics

  • Lesson 3: Responsive Design

Description

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Videos

  • Lecture 1 - Introduction to React
  • Lecture 2 - React Components
  • Lecture 3 - React State
  • Lecture 4 - React Hooks

  • Lecture 1 - Introduction to Node.js
  • Lecture 2 - Node.js Modules
  • Lecture 3 - Node.js Express
  • Lecture 4 - Node.js MongoDB

  • Lecture 1 - Introduction to MongoDB
  • Lecture 2 - MongoDB Basics
  • Lecture 3 - MongoDB Schema Design
  • Lecture 4 - MongoDB Data Modeling

Instructor

Instructor Image

John Doe

Email: john.doe@example.com

Phone: +1 (234) 567-890

(4.5)

John Doe is an experienced software engineer with over 10 years of experience in the industry. He specializes in web development and has a passion for teaching others.