Learn about cloud based machine learning algorithms and how to integrate with your applications
What you’ll learn
Integrate predictive models with your application using simple and secure APIs
Convert your ideas into highly scalable products in days
*** UPDATE MAY-2019. 1. Model endpoint integration with hands-on-labs for (Direct Client, Microservice, API Gateway). 2. Hyperparameter Tuning – Learn how to automatically tune hyperparameters ***
*** UPDATE MARCH-12-2019. I came to know that new accounts are not able to use AWSML Service. AWS is asking new users to use SageMaker Service.
I have restructured the course to start with SageMaker Lectures First. Machine Learning Service Lectures are still available in the later parts of the course. Newly updated sections start with 2019 prefix.
All source code for SageMaker Course is now available on Github
The new house keeping lectures cover all the steps for setting up code from GitHub.
***
*** SageMaker Lectures – DeepAR – Time Series Forecasting, XGBoost – Gradient Boosted Tree algorithm in-depth with hands-on. XGBoost has won several competitions and is a very popular Regression and Classification Algorithm, Factorization Machine based Recommender Systems and PCA for dimensionality reduction ***
There are several courses on Machine Learning and AI. What is special about this course?
Here are the top reasons:
In this course, you will learn AI and Machine Learning in three different ways:
AWS Machine Learning
AWS Machine Learning Service is designed for complete beginners.
You will learn three popular easy to understand linear algorithms from the ground-up
You will gain hands-on knowledge on complete lifecycle – from model development, measuring quality, tuning, and integration with your application
AWS SageMaker
The next service is AWS SageMaker.
If you are comfortable coding in Python, SageMaker service is for you.
You will learn how to deploy your own Jupyter Notebook instance on the AWS Cloud.
You will gain hands-on model development experience on very powerful and popular machine learning algorithms like
Application Services
In Application Services section of this course,
You will learn about a set of pre-trained services that you can directly integrate with your application.
You will gain hands-on experience in ready-to-use Vision service for image and video analysis, Conversation chatbots and Language Services for text translation, Speech recognition, and text to speech and more
I am looking forward to seeing you in the course.
Created by Chandra Lingam
Last updated 5/2019
English
Size: 4.59 GB
https://www.udemy.com/aws-machine-learning-a-complete-guide-with-python/.
