[2021]AWS Certified Machine Learning Specialty – MasterClass

本课程旨在提供AWS认证机器学习-专业考试所需的详细知识。本课程将涵盖您为了通过考试而需要学习的所有内容。它不仅具有理论概念，而且还提供动手实验，这些将帮助您建立概念。

AWS是全球使用最广泛的ML云计算平台之一–数家财富公司都依靠AWS进行业务运营。

SageMaker是AWS中的一项完全托管的服务，可让数据科学家和AI从业人员快速有效地训练，测试和部署AI / ML模型。

[2021]AWS Certified Machine Learning Specialty – MasterClass，Crack the exam by Learning AWS SageMaker, feature engineering, model training, Evaluation and tuning.

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 48.0 KHz
Language: English | VTT | Size: 4.4 GB | Duration: 11h 34m

What you’ll learn
Learn about Different Built-in Algorithm like XgBoost ,Deep AR , Linear Learner , Factorization Machines on SageMaker
Learn To Deploy custom Machine Learnng Algorithms on SageMaker
Learn to implement Real world Machine Learning Problem on SageMaker
Learn to do Hyper Parameter Tuning on SageMaker
Learn to Deploy Sagemaker Models using Lambda and API Gateway
Learn about AWS Database and Storage
Learn about Kinesis , S3 , Feature engineering etc
Learn about Different ML Services

Description
[2020] AWS Certified Machine Learning Specialty – MasterClass

Crack the exam by Learning AWS SageMaker, feature engineering, model training, Evaluation and tuning.

A well groomed knowledge of the complete AWS Machine Learning ecosystem is required…to crack the exam.

This course is Dedicated to give to the detailed knowledge required for AWS Certified Machine Learning – Specialty exam. This course will cover everything you need to learn in order to crack the exam. It not only has Theoretical concepts but also hands on Labs which will help you to build the Concept.

AWS is one of the most widely used ML cloud computing platforms worldwide – several Fortune companies depend on AWS for their business operations.

SageMaker is a fully managed service within AWS that allows data scientists and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.

In this Course, you will learn:-

Amazon S3

Amazon Kinesis

Basics of Deep Learning

EDA, Visualization, Feature Engineering

General Overview of SageMaker

Basic of Implementing ML Model on Sagemaker

Breast Cancer Classification Using XgBoost

Predicting House Price using Linear Regression

Using KNN for MNIST SIGN Language

Object Detection

Dimension Reductionality using PCA

Recommender System using Factorization Machine

DeepAR for Time Series Forecasting

Blazing Text for Word2Vec

Hosting Custom Model on Credit Card Fraud Detection on Sagemaker

Other Built-in Algorithms

Hyper Parameter Tuning

Different ML Service

AWS Lambda Basics

Integration and Deployment Options

AWS Storage and Database

We know that you’re here because you value your time and Money.By getting this course, you can be assured that the course will explain everything in detail and if there are any doubts in the course, we will answer your doubts in less than 12 hours.

All the project Files are available for you.

So, What are you waiting for? Go Click on the Buy button and let’s explore this exciting journey.

I will be waiting for you inside the course…

Who this course is for:
Anyone looking to upgrade their skill and get a AWS Machine Learning Certification
Data Scientist seeking certification in machine learning and AWS.