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Deployment of Machine Learning Models in Production | Python

Information ScienceDevelopmentNatural Language Processing

Deployment of Machine Learning Models in Production | Python


Are you able to kickstart your  Superior NLP course? Are you able to deploy your machine studying fashions in manufacturing at AWS? You’ll study each steps on construct and deploy your ML mannequin on a sturdy and safe server at AWS.

Prior information of python and Information Science is assumed. If you’re AN absolute newbie in Information Science, please don’t take this course. This course is made for medium or superior degree of Information Scientist.

You must have an introductory information of Python, Machine Learning, and Pure Language Processing earlier than enrolling in this course in any other case please don’t enroll in this course. That is a sophisticated NLP course.

What’s BERT?

BERT is a technique of pre-training language representations, that means that we practice a general-purpose “language understanding” mannequin on a big textual content corpus (like Wikipedia), after which use that mannequin for downstream NLP duties that we care about (like query answering). BERT outperforms earlier strategies as a result of it’s the first unsupervised, deeply bidirectional system for pre-training NLP.

Unsupervised implies that BERT was skilled utilizing solely a plain textual content corpus, which is essential as a result of an infinite quantity of plain textual content information is publicly out there on the internet in many languages.

Why is BERT so revolutionary?

Not solely is it a framework that has been pre-trained with the largest information set ever used, however it’s also remarkably simple to adapt to completely different NLP functions, by including further output layers. This enables customers to create subtle and exact fashions to hold out all kinds of NLP duties.

Here’s what you’ll study in this course

  • Pocket book Setup and What’s BERT.
  • Information Preprocessing.
  • BERT Mannequin Constructing and Coaching.
  • BERT Mannequin Analysis and Saving.
  • DistilBERT Mannequin High-quality Tuning and Deployment
  • Deploy Your ML Mannequin at AWS with Flask Server
  • Deploy Your Mannequin at Each Home windows and Ubuntu Machine
  • And a lot extra!

All this stuff will probably be executed on Google Colab which suggests it doesn’t matter what processor and laptop you will have. It’s tremendous simple to make use of and plus level is that you’ve Free GPU to make use of in your pocket book.



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