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AWS Certified Machine Learning Specialty 2020 - Hands On!

A deep knowledge of AWS and SageMakerisn't enough to pass this one - you also need deep knowledge of machine learning, and the nuances of feature engineering and model tuning that generally aren't taught in books or classrooms.

This course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations.

Just some of the topics we'll cover include: Machine learning is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience.

2020 AWS SageMaker, AI and Machine Learning - With Python

Learn about cloud based machine learning algorithms, how to integrate with your applications and Certification Prep ***UPDATEJAN-2020 Timed Practice Test and additional lectures for Exam Preparation added For

Practice Test, look for the section: 2020 Practice Exam - AWS Certified Machine Learning Specialty For exam overview, gap analysis and preparation strategy, look for 2020 - Overview - AWS Machine Learning Specialty Exam *** *** UPDATE DEC-2019

the core concepts behind neural networks, why deep learning is popular these days, different network architectures and hands-on labs to build models using Keras, TensorFlow, Apache MxNet: 2020 Deep Learning and Neural Networks *** *** UPDATE DEC-2019.

New reference architecture section with hands-on lab that demonstrates how to build a data lake solution using AWS Services and the best practices: 2020 AWS S3 Data Lake Architecture.

Within a few minutes, you will learn about algorithms for sophisticated facial recognition systems, sentiment analysis, conversational interfaces with speech and text and much more.

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.

There is also No upfront cost or commitment – Pay only for what you need and use Hands-on Labs In this course, you will learn with hands-on labs and work on exciting and challenging problems What exactly will you learn in this course?

You can develop solutions for natural language processing, like finding sentiment, text translation, and conversational chatbots.

You will learn how to host your models, scale on-demand, handle failures *Provide a clean interface for the applications using Lambda and API Gateway Data Lake *

spend a considerable amount of time keeping myself up-to-date and teach cloud technologies from the basics.

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