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Duration – 15 hours

Machine Learning On Amazon Web Services (AWS). This course aims to put the entire world of machine learning with AWS in front of you. Machine learning has become the new black. Predictive analytics is a complex domain requiring coding skills, an understanding of the mathematical concepts underpinning machine learning algorithms, and the ability to create compelling data visualizations. The challenge in today’s world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. Following AWS simplifying Machine learning, this course will help you bring predictive analytics projects to fruition in three easy steps: data preparation, model tuning, and model selection.
- Course completion certificate
- Mode of Study – Self Paced Learning
- 24/7 support
All AWS Courses
Machine Learning On Amazon Web Services
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Introduction
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Getting started with this course
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Introduction
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Getting started  AML Supports and S3 Interface
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Getting started  Model Building and Evaluation
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Getting started  Learn and Understand Machine Learning Data
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Getting started  Learn and Understand Machine Learning Console
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Getting started  Learn and Understand Machine Learning Console
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Getting started  Learn and Understand AWS IAM
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Getting started  Learn About Machine Learning Data Sources
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Getting started  Learn How to Load Your Data
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Getting started  Learn and Understand Data Nuts & Bolts
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Getting started  Learn and Understand Data Nuts & Bolts
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Getting started  Learn About Data Considerations
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Learn How to Build Machine Learning Models & Use these Models
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Introduction
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Machine Learning Models  Learn About Recipes
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Machine Learning Models  Learn About Evaluations
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Machine Learning Models  Learn About RealTime & Batch
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Machine Learning Models  Learn About Batch Predictions
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Machine Learning Models  Learn About RealTime Predictions
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Learn How to Manage Machine Learning Models With the APIs
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Introduction
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Learn How to Manage Via API
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Learn How to Create Machine Learning Models
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Learn How to Update Machine Learning Models using AWS Console
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Learn About AWS Limits & Use Cases
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Introduction
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Limits of AWS Machine Learning
Preview
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Section Summary
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Course Summary
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What People Are Saying

Abhilash -
A very good match. i am enjoying every bit.

Sonal-
Experience was quite good and it was very useful and well elaborated course.

Karan-
I FEEL AS IF I AM ATTENDING A WORLD CLASS TRAINING AND THE LECTURER HAS BEEN AWESOME!

Gilbert-
I find that the explanation is good and also understandable.

Seyed-
Really helpful, recommended to everyone to grow up your future skills for next level especially in this competitive market.

Mayur-
I really like this course, it was a good match for me :))

Mahesh-
Standard process and hands on covered nicely.

Emily-
Perfect, with complete hands on. Well structured and nicely covered.

Kevin-
Great Content, nice and up to the mark course.

Mayuresh-
Great courses. Beginner friendly and the explanations are clear and very easy to understand.

Saket-
Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.

Tushar-
A very detailed explanation and quite handy tips and tricks! loved it

Sourabh-
Excellent lecture, pace of the instructor is very good, easy to understand

Rishi-
Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.

Mahima-
This Courses is really useful for my career and surely i will recommend other to fulfill their career goals.

 Mauricio Roldan -
A pesar de no dominar perfectamente el idioma, se entiende bien.

Emile-
Yes lessons are very good. Not so fast, well explained

Kishore-
Worth course for the beginner to invest their time to learn this demanding skills.
