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    Introduction to Artificial Intelligence

    Posted By: lucky_aut
    Introduction to Artificial Intelligence

    Introduction to Artificial Intelligence
    Duration: 1h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 566 MB
    Genre: eLearning | Language: English

    All about Artificial Intelligence.

    What you'll learn:
    Understand Artificial Intelligence in detail
    Describe the fundamentals of Machine Learning and Deep Learning
    Explain the Machine Learning workflow
    Describe the performance metrices

    Requirements:
    No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.

    Description:
    About the Course:

    The “Artificial Intelligence” course is an intermediate level course, curated exclusively for both beginners and professionals. The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.

    Learning Objectives:

    By the end of the course, you will be able to learn about:
    Artificial Intelligence in detail
    Need of Artificial Intelligence
    Stages of Artificial Intelligence
    Applications of Artificial Intelligence
    Image Recognition
    Effects of Artificial Intelligence on Society
    Solving Complex Social Problems
    Benefits of Multiple Industries
    Fundamentals of Machine Learning and Deep Learning
    Relationship between Machine Learning and Statistical Analysis
    Machine Learning Process
    Types of Machine Learning
    Introduction to Unsupervised Learning
    Introduction to Semi-supervised Learning
    Algorithms of Machine Learning
    Regression
    Naive Bayes
    Naive Bayes Classification
    Machine Learning Algorithms
    Deep Learning
    Artificial Neural Network Definition
    Definition of Perceptron
    Online and Batch Learning
    Machine Learning Workflow
    Getting more data
    Asking a Sharp Question
    Adding Data to the Table
    Checking for Quality
    Transforming Features
    Performance Metrics
    Need For Performance Metrics
    Methods of Performance Metrics
    Confusion Matrix Example
    Terms of Confusion Matrix
    Minimize False Cases
    Minimize False Positive Example
    Accuracy
    Precision
    Recall or Sensitivity
    Specificity
    F1 store

    …and much more!
    If you're new to this technology, don't worry - the course covers the topics from the basics. If you've done some programming before, you should pick it up quickly.
    If you’re a programmer looking to switch into an exciting new career track, this course will teach you the basic techniques used by real-world industry AI developers. These are topics any successful technologist absolutely needs to know about, so what are you waiting for?

    Who this course is for:
    Candidates who are willing to learn AI from scratch
    IT professional willing to upskill themselves in AI
    Python developers willing to upskill themselves
    Data Scientist or Machine Learning Developers willing to upskill themselves

    More Info

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