Udemy – Deployment of Machine Learning Models in Production | Python 2021-1

Published on: 2021-05-07 10:20:53

Categories: 28

Description

Deployment of Machine Learning Models in Production | Python is a machine learning model diploma training course using BERT, DistilBERT, FastText NLP models along with Flask, uWSGI, and NGINX at AWS EC2. BERT is a pre-taught language presentation method, which means that we teach a general language comprehension model on a large collection of texts (such as Wikipedia) and eventually use it for natural language processing tasks (such as specific answer questions). ) We use. BERT is far more powerful than its predecessor methods, as it is unsupervised and has a deep two-way system for processing pre-trained natural language.

What in the Deployment of Machine Learning Models in Production | You will learn Python:

Complete natural language processing programs
How to work with BERT in Google Colab
How to use BERT to categorize texts
Expand ready machine learning models
Refine and extend machine learning models using Flask
Using machine learning models in Ubuntu and Windows Server, AWS
Understand the difference between DistilBERT and BERT
Optimize your natural language processing codes
How to develop and use FastText models on AWS
Learn Multi-Label and Multi-Class classifications in natural language processing

Course specifications

Publisher: Udemy
Instructors: Laxmi Kant
Language: English
Education Level: Introductory to Advanced
Number of Courses: 85
Duration: 9 hours and 39 minutes