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Approx. 18 heures pour terminer
Anglais
Sous-titres : Anglais
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 18 heures pour terminer
Anglais
Sous-titres : Anglais

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Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1

Semaine 1

1 heure pour terminer

Course Overview

1 heure pour terminer
1 vidéo (Total 1 min), 4 lectures, 1 quiz
1 vidéo
4 lectures
Learner Prerequisites1 min
Using SAS® Viya® for Learners with This Course (Required)10 min
Course Information (Required)10 min
Using Forums and Getting Help5 min
2 heures pour terminer

SAS® Viya® and Open Source Integration

2 heures pour terminer
10 vidéos (Total 55 min)
10 vidéos
Cloud Analytic Services2 min
Jupyter Notebooks and Open Source Development Interfaces2 min
SAS Scripting Wrapper for Analytics Transfer2 min
CAS Actions in SAS Viya2 min
Connecting to CAS and Reading in Data1 min
DataFrames and CAS Tables on the Clients and Server2 min
Advantages to Open Source Integration2 min
Demo: Getting Started with CAS and the R API18 min
Demo: Getting Started with CAS and the Python API18 min
5 exercices pour s'entraîner
Question 2.0110 min
Question 2.0210 min
Question 2.0310 min
Question 2.0410 min
SAS® Viya® and Open Source Integration Quiz30 min
Semaine
2

Semaine 2

4 heures pour terminer

Machine Learning

4 heures pour terminer
15 vidéos (Total 107 min)
15 vidéos
Data Partitioning: Preventing Overfitting2 min
Logistic Regression Models3 min
Support Vector Machines2 min
Decision Trees2 min
Ensemble of Trees2 min
Neural Network Models3 min
Autotuning Hyperparameters1 min
Model Performance Assessment2 min
Model Performance Charts: ROC and Lift2 min
Demo: Using the R API to Create and Assess Models26 min
Demo: Using the Python API to Create and Assess Models25 min
Demo: Creating a Gradient Boosting Model in SAS Studio7 min
Demo: Using R Functions and Looping for Efficient Coding11 min
Demo: Using Python Functions and Looping for Efficient Coding11 min
4 exercices pour s'entraîner
Question 3.0110 min
Question 3.0210 min
Question 3.0310 min
Machine Learning Quiz30 min
Semaine
3

Semaine 3

2 heures pour terminer

Text Analytics

2 heures pour terminer
9 vidéos (Total 48 min)
9 vidéos
Natural and Formal Languages1 min
Processing Words1 min
Processing Context2 min
Processing Concepts1 min
Extracting Information from the Term-Document Matrix3 min
Word Embedding3 min
Demo: Using the R API to Explore Text Documents15 min
Demo: Using the Python API to Explore Text Documents15 min
3 exercices pour s'entraîner
Question 4.0110 min
Question 4.0210 min
Text Analytics Quiz30 min
3 heures pour terminer

Deep Learning

3 heures pour terminer
13 vidéos (Total 67 min)
13 vidéos
Hidden Unit Activation Functions2 min
Weight Initialization1 min
Regularization Methods3 min
Nonlinear Optimization Algorithms (or Gradient-Based Learning)3 min
Processors for Analytics1 min
Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN)2 min
Recurrent Neural Network Architecture1 min
Improving RNN Models1 min
Gated Recurrent Unit (GRU)2 min
Long Short-Term Memory (LSTM)2 min
Demo: Deep Learning Sentiment Prediction Using the R API21 min
Demo: Deep Learning Sentiment Prediction Using the Python API21 min
3 exercices pour s'entraîner
Question 5.0110 min
Question 5.0210 min
Deep Learning Quiz30 min
Semaine
4

Semaine 4

3 heures pour terminer

Time Series

3 heures pour terminer
11 vidéos (Total 63 min)
11 vidéos
Model Performance and Assessment2 min
Weighted Averages1 min
Simple Exponential Smoothing2 min
ARIMAX Models and Stationarity1 min
Autoregressive and Moving Average Terms2 min
Forecasting with Recurrent Neural Networks43s
Demo: Automatic Forecasting Using the R API8 min
Demo: Automatic Forecasting Using the Python API8 min
Demo: Deep Learning Forecasting Using the R API16 min
Demo: Deep Learning Forecasting Using the Python API16 min
4 exercices pour s'entraîner
Question 6.0110 min
Question 6.0210 min
Question 6.0310 min
Time Series Quiz30 min
2 heures pour terminer

Image Classification

2 heures pour terminer
7 vidéos (Total 43 min)
7 vidéos
Convolutional Neural Networks for Image Classification1 min
Convolution Layers3 min
Pooling Layers1 min
Fully Connected and Output Layers59s
Demo: Classifying Color Images Using the R API16 min
Demo: Classifying Color Images Using the Python API16 min
2 exercices pour s'entraîner
Question 7.0110 min
Image Classification Quiz30 min
2 heures pour terminer

Factorization Machines

2 heures pour terminer
4 vidéos (Total 29 min)
4 vidéos
Factorization Machines for Recommendation3 min
Demo: Modeling Sparse Data Using the R API11 min
Demo: Modeling Sparse Data Using the Python API11 min
2 exercices pour s'entraîner
Question 8.0110 min
Factorization Machines Quiz30 min

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