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AI 101: How to build an AI from scratch

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Mad Useful

49:52

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  • 1. Introduction.mp4
    02:16
  • 2. Setting up the environment.html
  • 1. Idea Hunt.html
  • 2. Making Sense of the basics.mp4
    02:41
  • 1. Collect and Clean.mp4
    03:06
  • 2.1 Data Collection Cheat Sheet.pdf
  • 2. Data, Data, Data.html
  • 3. Collecting and Cleaning Data for AI.html
  • 1. Algo-Rithm.mp4
    03:30
  • 2. Choosing the Right Algorithm for AI.html
  • 3. Neural Networks.mp4
    02:19
  • 4. Decision Trees.mp4
    03:36
  • 5. Random forests.mp4
    01:48
  • 6. Support vector machines.mp4
    02:16
  • 7. Tutorial Training and Testing an AI using scikit-learn and caret.html
  • 8. Hands-On Exercise Creating an Algorithm for an AI.html
  • 1. Readying up.mp4
    02:15
  • 2. Build a simple artificial neural network.html
  • 3. Supervised and Unsupervised learning.mp4
    02:02
  • 4. Reinforcement Learning.mp4
    01:21
  • 5. The Bellman Equation.html
  • 6. Markov Decision Process.mp4
    01:56
  • 7. Q-Learning Intuition.mp4
    02:45
  • 8. Temporal Difference.mp4
    02:43
  • 1. Test and refine.mp4
    06:37
  • 2. Training Sets.mp4
    04:03
  • 3. AI Practice Test 1.html
  • 1. The main attraction.mp4
    04:38
  • 2. Final Exercise.html
  • Description


    Unleash the Power of Artificial Intelligence: Learn to Build Your Own Intelligent Systems from Scratch

    What You'll Learn?


    • How to build an AI
    • Understand the basics of Artificial Intelligence
    • How to train AI systems
    • How to Collect and Clean data
    • Develop high-quality algorithms

    Who is this for?


  • Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
  • Beginner Python Developers Curious about Data Science
  • More details


    Description

    Welcome to AI 101: How to build an AI from scratch!

    In this course, you will learn the key concepts and techniques needed to build your own artificial intelligence systems. Whether you're a business professional, a data scientist, or a tech enthusiast, this course will provide you with the knowledge and hands-on experience you need to start creating intelligent systems from scratch.

    You will start by learning the basics of artificial intelligence, including what AI is, how it works, and the different types of AI. Then, you will dive deep into the process of building an AI, from defining the problem to collecting and cleaning data, choosing an algorithm, training the AI, testing and refining, and deploying the AI.

    Throughout the course, you will have the opportunity to apply the concepts and techniques you learn. You will also receive access to a wide range of resources, including code snippets, and tutorials, to help you build your own AI systems.

    By the end of this course, you will be able to:

    • Understand the key concepts of artificial intelligence

    • Define a problem and identify the inputs and outputs for an AI system

    • Collect, clean, and preprocess data for training an AI

    • Choose the appropriate algorithm for the problem

    • Train and evaluate AI models

    • Deploy AI systems

    This course is designed for anyone who is interested in learning how to build an AI, regardless of your technical background. Whether you're a business professional, a data scientist, or a tech enthusiast, this course will provide you with the knowledge and hands-on experience you need to start creating intelligent systems from scratch.

    Don't wait any longer, join us today and start your journey to mastering AI!

    Who this course is for:

    • Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
    • Beginner Python Developers Curious about Data Science

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    Mad Useful is an education company with a team of writers and media experts that provide the best quality content for improving one's life. Self-Improvement is easy when you have information that is Mad Useful. We strive for the highest quality content and materials. Come take a journey with us as we help you achieve more. Faster than ever!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 17
    • duration 49:52
    • Release Date 2023/03/04