- Thread Starter
- #1
Artificial Intelligence: From Fundamentals To Deep Learning
Learn about Artificial Intelligence, Deep Learning, Types of Learning, Machine Learning, Machine Learning, Black Box
What you'll learn
To understand the key concepts of artificial intelligence and its evolution.
Differentiate between artificial intelligence and human intelligence.
Identify the main types of learning in AI, such as supervised, unsupervised and reinforcement learning.
Explore the fundamentals of Deep Learning and its applications.
Understand the debate on explainability in AI and how it is applied in practice.
Analyze real use cases to apply the acquired knowledge.
Requirements
No previous knowledge in artificial intelligence is required.
Interest in technological development and innovation in AI.
Motivation to learn and apply basic AI concepts.
Description
Unlock the Power of Artificial Intelligence: From Fundamentals to Deep Learning! Are you fascinated by the rapid advancements in AI and want to understand how it's reshaping industries and transforming the world? Whether you're a beginner or have some prior experience, this course will take you on a comprehensive journey through the essential concepts, technologies, and applications of artificial intelligence.In this course, you'll learn how AI is applied across a range of industries-from music, art, and entertainment to healthcare, finance, and gaming. We'll break down complex topics to make AI approachable, starting with the basics and gradually diving into more advanced subjects like machine learning and deep learning. You'll explore different types of learning, including supervised, unsupervised, and reinforcement learning, understanding how each plays a critical role in developing AI models that can solve real-world problems.The course will also introduce you to the cutting-edge field of Deep Learning, where you'll learn about neural networks and how they're used to tackle complex tasks, such as image recognition and natural language processing. By the end of the course, you'll have not only a strong grasp of theoretical concepts but also practical skills to apply your AI knowledge to real projects.With interactive lessons, hands-on examples, and additional resources, this course is designed to be engaging and accessible. Whether you're looking to boost your career or simply gain a deeper understanding of AI, we'll provide the tools and knowledge you need to thrive in the age of artificial intelligence. Join us today and start your journey into the future of technology!
Overview
Section 1: Welcome and Introduction
Lecture 1 Welcome & Introduction
Lecture 2 Course Content
Section 2: Definition of AI and Basic Concepts
Lecture 3 AI Basics
Lecture 4 The AI revolution
Section 3: AI Fundamentals
Lecture 5 Historical Evolution: Major Milestones
Lecture 6 Evolution of AI - Breakthrough in Image Generation
Section 4: AI vs. Human Intelligence
Lecture 7 AI vs. Human Intelligence
Section 5: AI Applications
Lecture 8 AI in Music
Lecture 9 Creating Music with AI
Lecture 10 AI in Medical Diagnostics
Lecture 11 AI in Games
Lecture 12 AI in Painting
Section 6: Types of Learning
Lecture 13 Supervised Learning - Part I
Lecture 14 Supervised Learning - Part II
Lecture 15 Supervised Learning Algorithms
Lecture 16 Unsupervised Learning
Lecture 17 Unsupervised Learning Algorithms
Lecture 18 Semi-supervised Learning
Lecture 19 Reinforcement Learning
Section 7: Deep Learning
Lecture 20 Deep Learning
Lecture 21 Deep Learning Models
Section 8: Black Box vs. Explainability
Lecture 22 Black Box vs. Explainability
Section 9: Use Case: Adesso
Lecture 23 Use Case: Adesso
Section 10: Congratulations!
Lecture 24 Congratulations
Anyone who want to learn the basics of artificial intelligence.,Those interested in exploring AI applications and capabilities.,People with no previous AI experience who are looking for a clear and comprehensive introduction.
rapidgator.net:
ddownload.com:
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 910.39 MB | Duration: 1h 4m
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 910.39 MB | Duration: 1h 4m
Learn about Artificial Intelligence, Deep Learning, Types of Learning, Machine Learning, Machine Learning, Black Box
What you'll learn
To understand the key concepts of artificial intelligence and its evolution.
Differentiate between artificial intelligence and human intelligence.
Identify the main types of learning in AI, such as supervised, unsupervised and reinforcement learning.
Explore the fundamentals of Deep Learning and its applications.
Understand the debate on explainability in AI and how it is applied in practice.
Analyze real use cases to apply the acquired knowledge.
Requirements
No previous knowledge in artificial intelligence is required.
Interest in technological development and innovation in AI.
Motivation to learn and apply basic AI concepts.
Description
Unlock the Power of Artificial Intelligence: From Fundamentals to Deep Learning! Are you fascinated by the rapid advancements in AI and want to understand how it's reshaping industries and transforming the world? Whether you're a beginner or have some prior experience, this course will take you on a comprehensive journey through the essential concepts, technologies, and applications of artificial intelligence.In this course, you'll learn how AI is applied across a range of industries-from music, art, and entertainment to healthcare, finance, and gaming. We'll break down complex topics to make AI approachable, starting with the basics and gradually diving into more advanced subjects like machine learning and deep learning. You'll explore different types of learning, including supervised, unsupervised, and reinforcement learning, understanding how each plays a critical role in developing AI models that can solve real-world problems.The course will also introduce you to the cutting-edge field of Deep Learning, where you'll learn about neural networks and how they're used to tackle complex tasks, such as image recognition and natural language processing. By the end of the course, you'll have not only a strong grasp of theoretical concepts but also practical skills to apply your AI knowledge to real projects.With interactive lessons, hands-on examples, and additional resources, this course is designed to be engaging and accessible. Whether you're looking to boost your career or simply gain a deeper understanding of AI, we'll provide the tools and knowledge you need to thrive in the age of artificial intelligence. Join us today and start your journey into the future of technology!
Overview
Section 1: Welcome and Introduction
Lecture 1 Welcome & Introduction
Lecture 2 Course Content
Section 2: Definition of AI and Basic Concepts
Lecture 3 AI Basics
Lecture 4 The AI revolution
Section 3: AI Fundamentals
Lecture 5 Historical Evolution: Major Milestones
Lecture 6 Evolution of AI - Breakthrough in Image Generation
Section 4: AI vs. Human Intelligence
Lecture 7 AI vs. Human Intelligence
Section 5: AI Applications
Lecture 8 AI in Music
Lecture 9 Creating Music with AI
Lecture 10 AI in Medical Diagnostics
Lecture 11 AI in Games
Lecture 12 AI in Painting
Section 6: Types of Learning
Lecture 13 Supervised Learning - Part I
Lecture 14 Supervised Learning - Part II
Lecture 15 Supervised Learning Algorithms
Lecture 16 Unsupervised Learning
Lecture 17 Unsupervised Learning Algorithms
Lecture 18 Semi-supervised Learning
Lecture 19 Reinforcement Learning
Section 7: Deep Learning
Lecture 20 Deep Learning
Lecture 21 Deep Learning Models
Section 8: Black Box vs. Explainability
Lecture 22 Black Box vs. Explainability
Section 9: Use Case: Adesso
Lecture 23 Use Case: Adesso
Section 10: Congratulations!
Lecture 24 Congratulations
Anyone who want to learn the basics of artificial intelligence.,Those interested in exploring AI applications and capabilities.,People with no previous AI experience who are looking for a clear and comprehensive introduction.
Screenshots
rapidgator.net:
You must reply in thread to view hidden text.
ddownload.com:
You must reply in thread to view hidden text.
