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Machine Learning for Beginners with 6 Real World Projects
Rating: 4.4 out of 5(150 ratings)
13,505 students

Machine Learning for Beginners with 6 Real World Projects

Build Real-World Machine Learning Applications and Gain Insight on ChatGPT Technology- This Course is Meant for Everyone
Created byEshgin Guluzade
Last updated 8/2023
English
English [Auto],

What you'll learn

  • Understand the theory behind Artificial Intelligence
  • Build many Machine Learning Models
  • Classify images, sounds and sentiments using supervised learning
  • Implement Machine Learning models to real-life projects
  • Build a recommender system for tourists
  • Genuinely understand what Machine Learning is
  • The impact of Machine Learning on society
  • Know what problems Machine Learning can solve

Course content

4 sections • 24 lectures • 2h 13m total length

  • Be Inspired!0:54
  • Course Preview Video3:04

    Discover beginner-friendly machine learning through six real world projects, including image classification of dogs and cats, facial recognition on mobile devices, natural language processing, offensive comment detection, and recommendation systems.

  • What is Artificial Intelligence? - Part 13:09

    Learn what artificial intelligence is and how complex software mimics human learning, speech recognition, and creativity, powering Uber's fraud protection, risk assessment, and route optimization.

  • What is Artificial Intelligence? - Part 22:58

    Explore the two forms of artificial intelligence—narrow AI and artificial general intelligence—alongside the relationships between AI, machine learning, and deep learning, with real-world examples like Google search and self-driving cars.

  • What is Machine Learning?3:41

    Learn how machine learning, a subfield of artificial intelligence, learns from examples instead of explicit instructions, with applications like spam filters and voice assistants.

  • Play a Game6:03

    Play a game that shows how machine learning recognizes doodles, using neural networks and the world's largest doodling data set to improve recognition.

  • Project 1.0 - Cat vs Dog (Train ML Model)8:48

    Train a cat vs dog classifier using Cognimates, creating a vision model, setting an API key, uploading ten images per category, and testing predictions in supervised learning.

  • Project 1.1 - Cat vs Dog (Apply ML Model)15:54

    Apply a pre-trained machine learning model to sort images into cat or dog categories using a code lab interface, vision blocks, and a dynamic image address list with confidence scores.

  • Ideas for Project 10:31

Requirements

  • No prior programming knowledge is required

Description

Are you interested in the rapidly growing field of Machine Learning? Look no further! This exciting course features engaging projects that will help you apply your newfound knowledge!

From Google to Udemy, companies worldwide are utilizing Machine Learning models to improve their products and services. In this course, you'll gain a fundamental understanding of Machine Learning and Artificial Intelligence (AI), including how machines learn and the potential applications for these powerful tools.

You'll learn the working process of Machine Learning through a series of easy-to-follow tutorials. With each lesson, you'll develop new skills and gain confidence in your understanding of this dynamic sub-field of AI.

But don't take our word for it - just look at the success of ChatGPT! As one of the most popular language models powered by AI and Machine Learning, ChatGPT has demonstrated the limitless possibilities of these technologies to improve our daily lives.

I will help you to understand what is artificial intelligence, how machines learn and you will create real-life projects by using machine learning models. The lectures are carefully designed to target specific machine learning models and real-life applications without getting into boring or complex details.

This course is fun and exciting, but at the same time, we'll dive into Machine Learning. It is structured in the following way:

  • We are going to start understanding a working principle of machine learning models and then we will jump right into training our first machine learning model and making a project which recognizes pictures of dogs and cats.

  • Then, we are going to learn what is a facial recognition and how mobile phones detects our face to unlock themselves. We’ll make AI-powered face filters that Instagram, Snapchat and other platforms use.

  • And after that we will understand what is a Natural Language Processing. We are going to train machine learning models to recognize text and sound and we will make Anti-Bullying AI system that facebook, Instagram use in their platforms to detect offensive comments.

  • Then we are going to see how chatbots work and how big companies which receive thousands of messages per day benefit from the chatbots.

  • Finally, we’ll explore what is a recommendation system and how companies like Amazon, Netflix recommend products or movies to their customers or how youtube chooses videos to recommend them to their users.

Upon completing this course, you will have the skills and knowledge needed to create fun and useful Machine Learning models and projects.

The course is regularly updated with new materials, tips and tricks that you can use in your projects!

* Students under 18 but above the age of consent may purchase the course only if a parent or guardian opens their account, handles any enrollments, and manages their account usage.


Who this course is for:

  • Anyone curious about understanding how Machine Learning process works
  • For kids (learn on your own), for teachers, or for parents working with children ages 8 - 16
  • Perfect for homeschooling parents or K-12 parents and teachers who would like to give their students the most fun experience by introducing Artificial Intelligence and Machine Learning

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