Machine Learning and IoT: 2 Days Hands-on Workshop

Machine Learning and IoT: 2 Days Hands-on Workshop

 

  • Early Bird

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    INR 6000
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  • Student Ticket

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    INR 5000
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  • Regular

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    INR 7500
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About The Event

2 Days Machine Learning and Internet of Things Hands-on Workshop

 

Value from the Internet of Things (IoT) involves taking data insights to the next level using machine learning (ML). The purpose of this workshop is to provide a crash-course on Machine Learning and Internet of Things. It is a complete hands-on workshop using Scikit-Learn for Machine Learning with Python and interfacing sensors with CC3200 development board to push data to the cloud.
 

Day 1

Introduction to Internet of Things (IoT)

- What is IoT

- IoT Applications

- IoT Market Opportunity

- IoT Solutions and Design Considerations

 

Overview of Embedded and Hardware Platforms

- End Device/Node Components

- MCU Specification

- Peripherals

- Development Boards

- Sensors

 

Overview of IoT Communication Protocols and Standards 

- Frequencies (Licensed  and Unlicensed)

- 802.11 WiFi

- 802.15.4

- 802.15.1 Bluetooth, Bluetooth Low Energy 

- GSM/GPRS and GPS

- IPv6, 6LoWPAN, UDP, CoAP, MQTT, EXI etc

  

Hands-on with CC3200 Development Board 

- Explanation of board layout and parts

- Hands-on with Energia

- Interfacing sensors/actuators

- Communication using Bluetooth/BLE

- Communication using Wi-Fi and pushing data to cloud platform

 

Introduction to Scikit-Learn: Machine Learning in Python

 

Day 2

Introduction and Machine learning Basic principles

- Probability theory

- Bayes' rule

- Utility theory

- Introduction to machine learning

- Machine Learning for IoT Data

  

Supervised Learning (Handson with Scikit-Learn)

 - Classification

         - Generative models 

         - Discriminative models 

         - Non-parametric models
 - Regression

    

 Unsupervised Learning (Handson with Scikit-Learn)

 - Making sense of unlabelled data

 - K-means clustering

 - Probabilistic clustering

      

Model selection and Discussion on ML Techniques
 
 
Note: The course fee doesnot include hardware kit.