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  • This course is designed to teach you how to use TinyML
  • The course will teach you how to collect data from sensors, control robots and 3D printers, and analyze data
  • Learn the basics of machine learning with TinyML
  • You will also learn how to visualize your data with Wio Terminal
  • You'll be able to handle a variety of datasets in order to improve your predictive skills
  • You'll also learn about neural networks, matrix operations, decision trees, and more
  • Learn the fundamentals of making predictions with supervised and un
  • Improve your analytical skills by working on real world datasets built by professionals
  • TinyML will help you decide faster, easier and more accurately than ever before.

In this course, you'll be taken through a thorough introduction of how to use the "TinyML ".The timeline is flexible to suit your needs.
 
This course is designed to give students a working knowledge of TinyML, a powerful tool for managing small-scale machine learning projects. The course begins with an introduction to the basics of machine learning, including supervised and unsupervised learning algorithms. Next, students will learn how to use the Wio Terminal, a device that makes it easy to interface with sensors and other hardware. Finally, students will put their knowledge to the test by completing a series of hands-on projects.
 
Are you interested in Machine learning and want to learn more about it and expand your knowledge in this area? This course will teach you how Tiny ML brings everything together in one place, providing you with better control over your data sets. Before training the model, you may now simply integrate multiple data sets or undertake feature engineering. TinyML is a revolutionary AI-powered tool that helps you make better decisions.
 
 
Machine learning is a branch of artificial intelligence (AI) that focuses on developing data-driven applications that enhance accuracy. Without being programmed to do so over time Machine learning is based on the idea that rather than having to be programmed to think like humans, machines can learn to work by observing, classifying, and learning from its surrounding. their mistakes As you might have guessed, ML stands for machine learning, and nowadays it usually (though not always) refers to deep learning.
 
 
What is Tiny ML?
 
TinyML is an app that teaches you basic web development skills. Compatible with Arduino, Raspberry Pi, and other IoT devices.
 
it refers to machine learning models that are optimized to run on low-power, small-footprint devices like MCUs. TinyML is cost-effective, allowing more individuals to train their models. Embedded devices come in a variety of forms and sizes, ranging from the embedded supercomputer Nvidia Jetson Xavier AGX to the tiniest of microcontrollers, such as ESP32 or Cortex M0. TinyML is the only platform that lets you know when you're making a mistake. The TinyML with Wio Terminal course teaches you how to use commands and programming logic to create apps, back up files, troubleshoot, and do anything else you can think of with a computer.  It is an AI-powered decision-making tool that trains itself by learning from your past decisions.
 
 
 
What is Wio Terminal?
 
Wio Terminal is a desktop application for quickly publishing your site without needing any knowledge of programming languages. You'll learn the basics of creating websites.

  • You need to buy the Wio Terminal if you want to apply the practical experiments
  • No prior coding experience needed
  • Hardware (board, modules)
  • Arduino IDE
  • Willingness to learn
  • No prior knowledge required
  • Software(possible platform or language)
  • This course is designed for beginners who want to learn more about machine learning.
  • The course is designed for anyone who would like to learn some basic programming skills.
  • This course is perfect for anyone wanting to get started in Machine Learning!
  • It is also good for people who want to get more out of their smartphone by taking advantage of things they plug into their computer.
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  • Section 1 : Section 1 3 Lectures 00:31:53

    • Lecture 1 :
    • Lecture 2 :
    • Project 1 Recognizing Gestures With Light Sensor Theory And Data Colle
    • Lecture 3 :
    • Lesson 1 Practical
  • Section 2 : Section 2 5 Lectures 00:54:00

    • Lecture 1 :
    • Project 1 Recognizing Gesture With Light Sensor Model Training And Depl
    • Lecture 2 :
    • Lesson 1 Practical Continue
    • Lecture 3 :
    • Project II Classifying Hand Gesture With Accelerometer Theory And Data
    • Lecture 4 :
    • Project II Classifying Hand Gesture With Accelerometer Model Training A
    • Lecture 5 :
    • Project III Audio Scene Recognition With Microphone Theory And Data Col
  • Section 3 : Section 3 6 Lectures 00:49:23

    • Lecture 1 :
    • Project III Audio scene Recognition with Microphone Model and Training
    • Lecture 2 :
    • Project IV People Counting With Ultrasonic sensor Theory and Data Colle
    • Lecture 3 :
    • Lesson 9 Project IV People Counting With Ultrasonic Sensor Model Training and De
    • Lecture 4 :
    • Project V Intelligent Meteostation With BME280 Theory and Data Collect
    • Lecture 5 :
    • Project V Intelligent Meteostation With BME280 Model Training and Depl
    • Lecture 6 :
    • Student Project
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My passion is inspiring people through online courses. I love learning new skills, and since 2007 have been teaching people like you everything I know. Through my online learning business, Educational Engineering School, I create courses that teach you how to become the better version of yourself with all kinds of skills. What would you like to learn? Would you like to make money being an Embedded System Developer? Would you like to build your own 6-figure business? Would you like to learn how to code, circuit design or solder electronic components? Would you like to make better projects? Would you like to start an embedded system career, create great projects, kick start an idea, program, simulate, and create PCB Boards, launch a freelance career? If you want to do any of these things, just enroll in the course. You have a 30-day money back guarantee if you don't like it. And I'm always improving my courses so that they stay up to date and the best that they can be. Check them out, and enroll today!
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