In this course you will learn how to deploy Machine Learning models using various techniques . The course will focus on simple model building with Scikit-Learn, TensorFlow and PyTorch . We’ll learn about deploying Machine Learning Deep Learning models on cloud instances and experimenting with different techniques . Weighing and extracting weights from PyTorching models is a key part of the course . We will also learn about how to use models for Twitter sentiment analysis . We’re taught how to experiment and deploy models using MLflow and MLflow. We’ll use these techniques to test our knowledge of Machine Learning deep Learning deep learning deep learning models. The course is designed to teach you about the best techniques to deploy models.API quota exceeded. You can make 500 requests per day.
Who this course is for:
- Machine Learning beginners
|File Name :||Machine Learning Deep Learning model deployment free download|
|Genre / Category:||Development|
|File Size :||2.56 gb|
|Publisher :||FutureX Skills|
|Updated and Published:||08 Aug,2022|