Semantic Search engine using Sentence BERT

Semantic Search engine using Sentence BERT, available at $34.99, has an average rating of 3.6, with 13 lectures, based on 70 reviews, and has 382 subscribers.

You will learn about Semantic search with BERT This course is ideal for individuals who are Begineer and intermediate python developers who are curious about semantic search It is particularly useful for Begineer and intermediate python developers who are curious about semantic search.

Enroll now: Semantic Search engine using Sentence BERT

Summary

Title: Semantic Search engine using Sentence BERT

Price: $34.99

Average Rating: 3.6

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Semantic search with BERT

Who Should Attend

Begineer and intermediate python developers who are curious about semantic search

Target Audiences

Begineer and intermediate python developers who are curious about semantic search

Course Description

Learn to build semantic search engine detection engine with sentence BERT

Build a strong foundation in Semantic Search with this tutorial for beginners.

Understanding of semantic search

Learn word embeddings from scratch

Learn limitation of BERT for sentences

Leverage sentence BERT for finding similar news headlines

Learn how to represent text as numeric vectors using sentence BERT embeddings

User Jupyter Notebook for programming

Build a real life web application or semantic search

A Powerful Skill at Your Fingertips  Learning the fundamentals of semantic search puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

No prior knowledge of word embedding or BERT is assumed. I’ll be covering topics like Word Embeddings , BERT , Glove, SBERT from scratch.

Jobs in semantic search systems area are plentiful, and being able to learn it with BERT will give you a strong edge. BERT is  state of art language model and surpasses all prior techniques in natural language processing.

Semantic search is becoming very popular. Google, Yahoo, Bing and Youtube are few famous example of semantic search systems in action.  Semantic search engines are vital in information retrieval .  Learning semantic search with SBERT will help you become a natural language processing (NLP) developer which is in high demand.

Content and Overview  

This course teaches you on how to build semantic search engine using open source Python and Jupyter framework.  You will work along with me step by step to build following answers

Introduction to semantic search

Introduction to Word Embeddings

Build an jupyter notebook step by step using BERT

Build a real world web application to find similar news headlines

What am I going to get from this course?

Learn semantic search and build similarity search engine from professional trainer from your own desk.

Over 10 lectures teaching you how to build similarity search engine

Suitable for beginner programmers and ideal for users who learn faster when shown.

Visual training method, offering users increased retention and accelerated learning.

Breaks even the most complex applications down into simplistic steps.

Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: About Author

Chapter 2: World of word embeddings

Lecture 1: What are word embeddings?

Lecture 2: One hot encodings

Lecture 3: Deep neural network

Lecture 4: Word2Vec

Lecture 5: Glove Embeddings

Lecture 6: BERT embeddings

Chapter 3: Sentence Embeddings

Lecture 1: Sentence Transformer

Chapter 4: Learning Semantic Search

Lecture 1: Getting source code

Lecture 2: Jupyter Notebook application

Chapter 5: Building real web application

Lecture 1: Web application

Lecture 2: Next Steps

Instructors

Evergreen Technologies
Software Mentor

Rating Distribution

1 stars: 11 votes

2 stars: 5 votes

3 stars: 14 votes

4 stars: 16 votes

5 stars: 24 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!