下载 Udemy - AWS SageMaker Practical for Beginners | Build 6 Projects torrent - GloDLS
洪流细节 "Udemy - AWS SageMaker Practical for Beginners | Build 6 Projects"

Udemy - AWS SageMaker Practical for Beginners | Build 6 Projects

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
下载这洪流
Download using Magnet Link

健康:
种子: 10
懒鬼: 5
已完成: 13 
上次检查: 23-04-2021 03:53:00

上传者的声誉点 : 7860





Write a Review for the Uploader:   15   Say Thanks with one good review:
Share on Facebook


Details
name:Udemy - AWS SageMaker Practical for Beginners | Build 6 Projects
说明:

Description

Machine and deep learning are the hottest topics in tech! Diverse fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology.

AWS is one of the most widely used ML cloud computing platforms worldwide – several Fortune 500 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, students will learn how to create AI/ML models using AWS SageMaker.

Projects will cover various topics from business, healthcare, and Tech. In this course, students will be able to master many topics in a practical way such as: (1) Data Engineering and Feature Engineering, (2) AI/ML Models selection, (3) Appropriate AWS SageMaker Algorithm selection to solve business problem, (4) AI/ML models building, training, and deployment, (5) Model optimization and Hyper-parameters tuning.

The course covers many topics such as data engineering, AWS services and algorithms, and machine/deep learning basics in a practical way:

   Data engineering: Data types, key python libraries (pandas, Numpy, scikit Learn, MatplotLib, and Seaborn), data distributions and feature engineering (imputation, binning, encoding, and normalization).
   AWS services and algorithms: Amazon SageMaker, Linear Learner (Regression/Classification), Amazon S3 Storage services, gradient boosted trees (XGBoost), image classification, principal component analysis (PCA), SageMaker Studio and AutoML.
   Machine and deep learning basics: Types of artificial neural networks (ANNs) such as feedforward ANNs, convolutional neural networks (CNNs), activation functions (sigmoid, RELU and hyperbolic tangent), machine learning training strategies (supervised/ unsupervised), gradient descent algorithm, learning rate, backpropagation, bias, variance, bias-variance trade-off, regularization (L1 and L2), overfitting, dropout, feature detectors, pooling, batch normalization, vanishing gradient problem, confusion matrix, precision, recall, F1-score, root mean squared error (RMSE), ensemble learning, decision trees, and random forest.

We teach SageMaker’s vast range of ML and DL tools with practice-led projects. Delve into:

   Project #1: Train, test and deploy simple regression model to predict employees’ salary using AWS SageMaker Linear Learner
   Project #2: Train, test and deploy a multiple linear regression machine learning model to predict medical insurance premium.
   Project #3: Train, test and deploy a model to predict retail store sales using XGboost regression and optimize model hyperparameters using SageMaker Hyperparameters tuning tool.
   Project #4: Perform Dimensionality reduction Using SageMaker built-in PCA algorithm and build a classifier model to predict cardiovascular disease using XGBoost Classification model.
   Project #5: Develop a traffic sign classifier model using Sagemaker and Tensorflow.
   Project #6: Deep Dive in AWS SageMaker Studio, AutoML, and model debugging.

The course is targeted towards beginner developers and data scientists wanting to get fundamental understanding of AWS SageMaker and solve real world challenging problems. Basic knowledge of Machine Learning, python programming and AWS cloud is recommended. Here’s a list of who is this course for:

   Beginners Data Science wanting to advance their careers and build their portfolio.
   Seasoned consultants wanting to transform businesses by leveraging AI/ML using SageMaker.
   Tech enthusiasts who are passionate and new to Data science & AI and want to gain practical experience using AWS SageMaker.

Enroll today and I look forward to seeing you inside.
Who this course is for:

   AI practitioners
   Aspiring data scientists
   Tech enthusiasts
   Data science consultants

Requirements

   Basic knowledge of programming
   Basic knowledge in AWS
   Basic knowledge in machine learning

Last Updated 7/2020
YouTube 视频:
类别:Tutorials
语言:English  English
总大小:8.98 GB
哈希信息:9CF42EC09D167BA3B6D7481C9917AECA1DBF3112
增加:tutsnode Verified UploaderVIP
加入的日期:2020-12-03 22:17:10
洪流地位:Torrent Verified


评级:Not Yet Rated (Log in to rate it)


Tracker:
udp://inferno.demonoid.pw:3391/announce

这个洪流也有备份的纤夫
URL播种机懒鬼已完成
udp://inferno.demonoid.pw:3391/announce000
udp://tracker.openbittorrent.com:80/announce3210
udp://tracker.opentrackr.org:1337/announce523
udp://torrent.gresille.org:80/announce000
udp://glotorrents.pw:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://tracker.pirateparty.gr:6969/announce000
udp://tracker.coppersurfer.tk:6969/announce000
udp://ipv4.tracker.harry.lu:80/announce210
udp://9.rarbg.to:2710/announce000
udp://shadowshq.yi.org:6969/announce000
udp://tracker.zer0day.to:1337/announce000


文件列表: 





Comments
无可奉告,仍将过帐