Machine Learning for Absolute Beginners Level 1
- Development
- Jan 22, 2025

Machine Learning for Absolute Beginners – Level 1, available at $79.99, has an average rating of 4.49, with 25 lectures, 5 quizzes, based on 17595 reviews, and has 83703 subscribers.
You will learn about Artificial Intelligence, Machine Learning and Deep Learning Applied vs. Generalized AI Features, Labels, Examples The Process of Training a Model Under-fitting and Over-fitting Supervised/Unsupervised Learning Classification and Regression Clustering and Dimension Reduction Reinforcement Learning This course is ideal for individuals who are Anyone interested to get familiar with the AI/ML concepts or Developers curious about data science or AI – Product Managers, Project Managers, Engineers or Data Scientists It is particularly useful for Anyone interested to get familiar with the AI/ML concepts or Developers curious about data science or AI – Product Managers, Project Managers, Engineers or Data Scientists.
Enroll now: Machine Learning for Absolute Beginners – Level 1
Summary
Title: Machine Learning for Absolute Beginners – Level 1
Price: $79.99
Average Rating: 4.49
Number of Lectures: 25
Number of Quizzes: 5
Number of Published Lectures: 25
Number of Published Quizzes: 5
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: $174.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
***** Feedback from Students ********
An excellent introduction to the topic. the lessons flowed logically and the course material was well presented. A very good course and a pleasure to take.Sam D.
“Good course for anyone who wants to make some sense of all the proper terminology and basic methodology of AI. Idan’s explanations are very clear and to the point, no fluff and no distractions!”Grace H.
“The course was actually amazing, giving me much more insight into AI. ”Patrick A
“best ML course ever. ”Parmanand S.
“Good and simple enough to start learning ML.”Cogent Systems.
**************************************
Machine Learning – Next Terminator is Here?
The concept of Artificial Intelligence is used in sci-fiction movies to describe a virtual entity that crossed some critical threshold point and developed self-awareness. And like any good Hollywood movie, this entity will turn against humankind. OMG! It鈥檚 a great concept to fuel our basic survival fear; otherwise, no one will buy a ticket to the next Terminator movie 馃槈
As you may guess, things, in reality, are completely different. Artificial Intelligence is one of the biggest revolutions in the software industry. It is a mind-shift on how to develop software applications. Instead of using hard-coded rules for performing something, we let the machines learn things from data, decipher the complex patterns automatically, and then use it for multiple use cases.
AI-Powered Applications
There are growing amounts of AI-powered applications in a variety of practical use cases.Websites are using AI to better recommend visitors about products and services. The ability to recognize objects in real-time video streams is driven by machine learning. It is a game-changing technology, and the game just started.
Simplifying Things
The concept of AI and ML can be a little bit intimidating for beginners, and specifically for people without a substantial background in complex math and programming. This training is a soft starting pointto walk you through the fundamental theoretical concepts.
We are going to open the mysterious AI/ML black box, and take a look inside, get more familiar with the terms being used in the industry. It is going to be a super interesting story. It is important to mention that there are no specific prerequisites for starting this training, and it is designed for absolute beginners.
Would you like to join the upcoming Machine Learning revolution?
Course Curriculum
Chapter 1: Getting Started with Level 1!
Lecture 1: Welcome!
Lecture 2: Before you start.
Chapter 2: The Rise of Artificial Intelligence
Lecture 1: AI is Coming
Lecture 2: Artificial Intelligence
Lecture 3: Classical Programming
Lecture 4: Machine Learning
Lecture 5: Deep Learning
Lecture 6: Applied vs. Generalized AI
Lecture 7: Why Now?
Chapter 3: Introduction to Machine Learning
Lecture 1: Overview – ML Terminology
Lecture 2: The 鈥淏lack Box鈥?Metaphor
Lecture 3: Features and Labels
Lecture 4: Training a Model
Lecture 5: Aiming for Generalization
Chapter 4: Classification of ML Systems
Lecture 1: The Degree of Supervision
Lecture 2: #1 – Supervised Learning
Lecture 3: Classification
Lecture 4: Regression
Lecture 5: #2 – Unsupervised Learning
Lecture 6: Clustering
Lecture 7: Dimension Reduction
Lecture 8: #3 – Reinforcement Learning
Lecture 9: Decision-Making Agent
Chapter 5: Course Summary
Lecture 1: Lets Recap and Thank You!
Lecture 2: ** BONUS **
Instructors

Idan Gabrieli
Online Teacher | Data, Cloud, AI
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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