Deployment of Machine Learning Models in Production Python

Deployment of Machine Learning Models in Production Python

Description

Deployment of Machine Learning Models in Production Python is a machine learning model deployment training course using BERT, DistilBERT, FastText NLP models along with Flask, uWSGI, and NGINX at AWS EC2. BERT is a pre-trained language representation method, which means that we train a general language understanding model on a large collection of texts (such as Wikipedia) and finally train it for natural language processing tasks (such as question specific answers). ) We use. BERT is far more powerful than its previous competing methods because it is unsupervised and has a deep two-way system for pre-trained natural language processing.

What in the course of Deployment of Machine Learning Models in Production Python you will learn:

  • Completing natural language processing programs
  • How to work with BERT in Google Colab
  • How to use BERT for text classification
  • Expanding ready-made machine learning models
  • Refine and extend machine learning models using Flask
  • Application of machine learning models in Ubuntu and Windows Server, AWS
  • Understand the difference between DistilBERT and BERT
  • Optimizing your natural language processing codes
  • How to develop and deploy FastText models on AWS
  • Learning Multi-Label and Multi-Class Classifications in Natural Language Processing

Course details

Publisher: Udemy
Instructors: Laxmi Kant
English language
Training level: introductory to advanced
Number of courses: 85
Duration: 9 hours and 39 minutes

Course topics:

Course prerequisites:

Introductory knowledge of NLP

Comfortable in Python, Keras, and TensorFlow 2

Basic Elementary Mathematics

Pictures

Deployment of Machine Learning Models in Production Python

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 787 MB

Password file(s): www.downloadly.ir

Size

3.8 GB

4.4/5 – (3536 points)

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