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دسته بندی دوره ها

AI & ML Made Easy : A Comprehensive Guide (2024)

سرفصل های دوره

From Understanding Intelligence to Deep Learning: Unravel AI & ML in Real-World Applications for a Future-Proof Career


1. Unfolding the AI Universe
  • 1. Kickstart Your Journey Introduction to the Course
  • 2. Unlock the Mystery Understanding Intelligence
  • 3. AI Simplified Defining Artificial Intelligence
  • 4. Travel Through Time The Evolution of AI
  • 5. AI and Beyond Exploring the Philosophy
  • 6. Behind the Scenes The Science of AI
  • 7. Why AI Decoding its Current Popularity
  • 8. Dive Deeper Exploring Different Areas of AI

  • 2. Understanding and Applying Machine Learning
  • 1. Demystifying the Process How Machines Learn
  • 2. AI Revolution Creating a Paradigm Shift
  • 3. Machine Learning in Action Real-World Examples
  • 4. Everyday AI Common Applications of Machine Learning

  • 3. Machine Learning Mastery From Basics to Advanced Concepts
  • 1. Machine Learning Uncovered An Overview
  • 2. The Backbone Fundamental Theory Behind Machine Learning
  • 3. Deciphering the Jargon Machine Learning Terminology
  • 4. The Machine Learning Blueprint Understanding the Process
  • 5. Diverse Paths Exploring Machine Learning Approaches
  • 6. Role of Statistics & Computer Science in Machine Learning

  • 4. Deep Dive into Supervised, Unsupervised, and Reinforcement Learning
  • 1. Guided Learning An Introduction to Supervised Learning
  • 2. Unveiling the Mechanism How Supervised Machine Learning Works
  • 3. Supervised Learning in Action A Practical Example
  • 4. Autonomous Learning Unsupervised Machine Learning Overview
  • 5. The Underlying Mechanism How Unsupervised Machine Learning Works
  • 6. Spotlight on Unsupervised Learning A Practical Example
  • 7. Learning by Doing An Insight into Reinforcement Learning
  • 8. Crunching Numbers Exploring Statistical Algorithms

  • 5. Navigating the Business and Economic Aspects of AI and Machine Learning
  • 1. From App to Solution Transforming Problem Solving

  • 6. Navigating the AI Landscape From Concepts to Practical Implementation
  • 1. The Standard General Machine Learning Process
  • 2. The Human Element Understanding Bias in Machine Learning
  • 3. The AI Artisans Who Implements AI
  • 4. Exploring Languages for Implementing Machine Learning

  • 7. Deep Learning, Natural Language Processing, and Computer Vision
  • 1. Diving Deep An Introduction to Deep Learning
  • 2. Understanding Natural Language Processing (NLP)
  • 3. Creating Realities Generative AI & Overview

  • 8. Stages, Types, and Ethical Considerations
  • 1. The AI Spectrum Exploring Types of AI
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    شناسه: 26572
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    مدت زمان: 309 دقیقه
    تاریخ انتشار: ۲۶ آذر ۱۴۰۲
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