excellent teaching
Introduction to Artificial Intelligence
All about Artificial Intelligence.
Development,Artificial Intelligence
Lectures -4
Resources -1
Duration -1 hours
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Course 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? Enroll now!
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
Goals
Understand Artificial Intelligence in detail
Describe the fundamentals of Machine Learning and Deep Learning
Explain the Machine Learning workflow
Describe the performance metrices
Prerequisites
No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Artificial Intelligence
2 Lectures
-
Introduction to Artificial Intelligence 10:53 10:53
-
Demo: Introduction to Artificial Intelligence 20:40 20:40
Demo: Model Evaluation
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Demo: Perceptron
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
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Skillcart
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