A unique course with growing industry demand
Supervised learning using OPEN CV
Internet of things using Raspberry Pi
Configuring and acquiring data from sensor(s) by interfacing with Raspberry Pi
Developing voice control interface for IOT application
How Supervised learning can be used in IOT applications
Basic Programming knowledge particularly Python & Linux command line commands
Basic understanding of Electronic component , circuits
Raspberry Pi 3 board, 220 ohm resistors, 1 Uf capacitor, LDR sensor, LED, some jumper cables
You will find course in Supervised machine learning course – OPEN CV generally for computer. But, hardly you will find an integrated course which covers Internet of things based on supervised machine learning output. In really, for machine learning in real has no meaning when it works with simulated data. Getting real data be in from Sensor or an Application, poses it own challenges and this is generally over looked while learning about machine learning.
This unique covers covers both Supervised machine learning and Internet of things using Raspberry pi.
There is a growing demand for these kind of application, For example:
Building automation – Switch on Electrical device such as lighting and temperature control instrument when human being in present.
Attendance marking based on automatically identification of an employee.
Identify parking free parking lots.
Identify number plate in car.
Prevent C – Identify a person with criminal record.
