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EncartaLabs

MS Azure Machine Learning Studio with Python

( Duration: 2 Days )

Azure Machine Learning Studio is an interactive programming tool for predictive analytics. It is a professional tool that lets users easily drag-and-drop objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems.

If you are a Python Developer who want to develop the web based Machine Learning or Deep Learning services. You can easily integrate your current machine learning or deep learning python scripts into the Azure Machine Learning Studio with simple modification. The python ML/DL program will be enabled with the webservices.

By attending Azure Machine Learning Studio with Python workshop, delegates will learn to:

  • Build NN/CNN with the Azure Machine Learning Studio without coding
  • Deploy and consume ML/DL as webservices
  • Integration with Cognitive Services
  • Integrate Keras Deep Learning into Azure Machine Learning Studio
  • Machine Learning with Scikit Learn
  • Neural Network with Keras
  • Build a Predictive Regression Model with Keras
  • Build a Classification Model with Keras
  • Build a CNN Image Classification Model with Keras
  • Build a RNN Classification Model with Kera

Attend a training on the below courses or have equivalent knowledge

  • Microsoft Azure Machine Learning Studio
  • R Statistics Essential

This Azure Machine Learning Studio with Python training course is intended for:
  • Data Scientists
  • Machine Learning Engineers

COURSE AGENDA

1

Azure ML Studio Recap

  • Start Experiment
  • Dataset for ML/DL
  • Machine-Train/Score/Evaluate
2

Azure ML Studio for Deep Learning

  • Overview of Deep Learning
  • Azure ML Studio Neural Network
  • Azure ML Studio Convolution Neural Network
3

Azure ML trained Model

  • Build Webservices with Deep Learning model
  • Deploy and consume the webservices
  • Used the trained model in Azure ML studio
4

Azure ML Studio Python Notebook

  • Build Python ML/DL in the notebook
  • Deploy the python ML/DL in notebook as webservices
5

Azure ML Studio and Cognitive Services

  • Setup Cognitive Services
  • Consume services using webservices endpoint in python
6

Azure ML Studio Python Dataset Processing

  • Format Dataset for ML/DL
  • Split CSV dataset into train and test set
  • Convert CSV Dataset to numpy array
7

Azure ML Studio with Scikit Learn

  • Prepare all the Scikit Learn ML python files into a zip file
  • Scikit Learn ML Linear Regression
  • Scikit Learn ML Classification KNN
8

Azure ML Studio with Keras NN

  • Prepare all the Tensorflow/Keras python files into a zip file
  • Keras ML Linear Regression
  • Keras DL Neural Network
9

Azure ML Studio with Keras CNN

  • Prepare all the Tensorflow/Keras python files into a zip file
  • Keras DL with Convolution Neural Network
10

Azure ML Studio with Keras RNN

  • Prepare all the Tensorflow/Keras python files into a zip file
  • Keras DL with Recurrent Neural Network

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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