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教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Course Overview

In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.

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1 個視頻 (總計 1 分鐘), 4 個閱讀材料, 1 個測驗
1 個視頻
4 個閱讀材料
Learner Prerequisites1分鐘
Using SAS® Viya® for Learners with This Course (Required)10分鐘
Course Information (Required)10分鐘
Using Forums and Getting Help5分鐘
完成時間為 2 小時

SAS® Viya® and Open Source Integration

In this module you learn about the analytical processing engine behind SAS Viya, the Cloud Analytic Services server. You also learn how to submit data processing commands to SAS Viya from the open source languages R and Python.

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10 個視頻 (總計 55 分鐘), 6 個測驗
10 個視頻
SAS Scripting Wrapper for Analytics Transfer2分鐘
CAS Actions in SAS Viya2分鐘
Connecting to CAS and Reading in Data1分鐘
DataFrames and CAS Tables on the Clients and Server2分鐘
Advantages to Open Source Integration2分鐘
Demo: Getting Started with CAS and the R API18分鐘
Demo: Getting Started with CAS and the Python API18分鐘
5 個練習
Question 2.0110分鐘
Question 2.0210分鐘
Question 2.0310分鐘
Question 2.0410分鐘
SAS® Viya® and Open Source Integration Quiz30分鐘
2
完成時間為 4 小時

Machine Learning

In this module you learn how to use R and Python to create, optimize, and assess SAS Viya predictive models. You also learn how to use R and Python to efficiently manage the creation and assessment of these models.

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15 個視頻 (總計 107 分鐘), 8 個測驗
15 個視頻
Support Vector Machines2分鐘
Decision Trees2分鐘
Ensemble of Trees2分鐘
Neural Network Models3分鐘
Autotuning Hyperparameters1分鐘
Model Performance Assessment2分鐘
Model Performance Charts: ROC and Lift2分鐘
Demo: Using the R API to Create and Assess Models26分鐘
Demo: Using the Python API to Create and Assess Models25分鐘
Demo: Creating a Gradient Boosting Model in SAS Studio7分鐘
Demo: Using R Functions and Looping for Efficient Coding11分鐘
Demo: Using Python Functions and Looping for Efficient Coding11分鐘
4 個練習
Question 3.0110分鐘
Question 3.0210分鐘
Question 3.0310分鐘
Machine Learning Quiz30分鐘
3
完成時間為 2 小時

Text Analytics

In this module you learn how natural language processing is used to analyze collections of text documents. You also learn how to turn blocks of unstructured text into numeric inputs suitable for predictive modeling.

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9 個視頻 (總計 48 分鐘), 5 個測驗
9 個視頻
Processing Context2分鐘
Processing Concepts1分鐘
Extracting Information from the Term-Document Matrix3分鐘
Word Embedding3分鐘
Demo: Using the R API to Explore Text Documents15分鐘
Demo: Using the Python API to Explore Text Documents15分鐘
3 個練習
Question 4.0110分鐘
Question 4.0210分鐘
Text Analytics Quiz30分鐘
完成時間為 3 小時

Deep Learning

In this module you learn how deep learning methods extend traditional neural network models with new options and architectures. You also learn how recurrent neural networks are used to model sequence data like time series and text strings, and how to create these models using R and Python APIs for SAS Viya.

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13 個視頻 (總計 67 分鐘), 5 個測驗
13 個視頻
Regularization Methods3分鐘
Nonlinear Optimization Algorithms (or Gradient-Based Learning)3分鐘
Processors for Analytics1分鐘
Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN)2分鐘
Recurrent Neural Network Architecture1分鐘
Improving RNN Models1分鐘
Gated Recurrent Unit (GRU)2分鐘
Long Short-Term Memory (LSTM)2分鐘
Demo: Deep Learning Sentiment Prediction Using the R API21分鐘
Demo: Deep Learning Sentiment Prediction Using the Python API21分鐘
3 個練習
Question 5.0110分鐘
Question 5.0210分鐘
Deep Learning Quiz30分鐘
4
完成時間為 3 小時

Time Series

In this module you learn how to model time series using two popular methods, exponential smoothing and ARIMAX. You also learn how to use the R and Python APIs for SAS Viya to create forecasts using these classical methods and using recurrent neural networks for more complex problems.

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11 個視頻 (總計 63 分鐘), 6 個測驗
11 個視頻
Simple Exponential Smoothing2分鐘
ARIMAX Models and Stationarity1分鐘
Autoregressive and Moving Average Terms2分鐘
Forecasting with Recurrent Neural Networks43
Demo: Automatic Forecasting Using the R API8分鐘
Demo: Automatic Forecasting Using the Python API8分鐘
Demo: Deep Learning Forecasting Using the R API16分鐘
Demo: Deep Learning Forecasting Using the Python API16分鐘
4 個練習
Question 6.0110分鐘
Question 6.0210分鐘
Question 6.0310分鐘
Time Series Quiz30分鐘
完成時間為 2 小時

Image Classification

In this module you learn how convolutional neural networks are used to classify images and how to use the R and Python APIs for SAS Viya to create convolutional neural networks.

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7 個視頻 (總計 43 分鐘), 4 個測驗
7 個視頻
Pooling Layers1分鐘
Fully Connected and Output Layers59
Demo: Classifying Color Images Using the R API16分鐘
Demo: Classifying Color Images Using the Python API16分鐘
2 個練習
Question 7.0110分鐘
Image Classification Quiz30分鐘
完成時間為 2 小時

Factorization Machines

In this module you learn how factorization machines are used to create recommendation engines and how to build factorization machine models in SAS Viya using the R and Python APIs.

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4 個視頻 (總計 29 分鐘), 4 個測驗
4 個視頻
Demo: Modeling Sparse Data Using the Python API11分鐘
2 個練習
Question 8.0110分鐘
Factorization Machines Quiz30分鐘

講師

Avatar

Jordan Bakerman

Analytical Training Consultant
Education

Ari Zitin

Analytical Training Consultant
SAS Education

關於 SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change....

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