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

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Programming Hub

5:08:19

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1. Unfolding the AI Universe

1. Kickstart Your Journey Introduction to the Course.mp4

01:10

2. Unlock the Mystery Understanding Intelligence.mp4

07:06

3. AI Simplified Defining Artificial Intelligence.mp4

05:49

4. Travel Through Time The Evolution of AI.mp4

11:21

5. AI and Beyond Exploring the Philosophy.mp4

10:16

6. Behind the Scenes The Science of AI.mp4

04:51

7. Why AI Decoding its Current Popularity.mp4

07:27

8. Dive Deeper Exploring Different Areas of AI.mp4

10:44

2. Understanding and Applying Machine Learning

1. Demystifying the Process How Machines Learn.mp4

14:21

2. AI Revolution Creating a Paradigm Shift.mp4

14:10

3. Machine Learning in Action Real-World Examples.mp4

09:19

4. Everyday AI Common Applications of Machine Learning.mp4

08:49

3. Machine Learning Mastery From Basics to Advanced Concepts

1. Machine Learning Uncovered An Overview.mp4

08:46

2. The Backbone Fundamental Theory Behind Machine Learning.mp4

07:15

3. Deciphering the Jargon Machine Learning Terminology.mp4

04:57

4. The Machine Learning Blueprint Understanding the Process.mp4

08:22

5. Diverse Paths Exploring Machine Learning Approaches.mp4

03:10

6. Role of Statistics & Computer Science in Machine Learning.mp4

07:19

4. Deep Dive into Supervised, Unsupervised, and Reinforcement Learning

1. Guided Learning An Introduction to Supervised Learning.mp4

09:23

2. Unveiling the Mechanism How Supervised Machine Learning Works.mp4

11:03

3. Supervised Learning in Action A Practical Example.mp4

10:54

4. Autonomous Learning Unsupervised Machine Learning Overview.mp4

06:15

5. The Underlying Mechanism How Unsupervised Machine Learning Works.mp4

04:10

6. Spotlight on Unsupervised Learning A Practical Example.mp4

07:59

7. Learning by Doing An Insight into Reinforcement Learning.mp4

07:34

8. Crunching Numbers Exploring Statistical Algorithms.mp4

03:46

5. Navigating the Business and Economic Aspects of AI and Machine Learning

1. From App to Solution Transforming Problem Solving.mp4

12:51

6. Navigating the AI Landscape From Concepts to Practical Implementation

1. The Standard General Machine Learning Process.mp4

09:26

2. The Human Element Understanding Bias in Machine Learning.mp4

10:21

3. The AI Artisans Who Implements AI.mp4

14:11

4. Exploring Languages for Implementing Machine Learning.mp4

08:25

7. Deep Learning, Natural Language Processing, and Computer Vision

1. Diving Deep An Introduction to Deep Learning.mp4

14:07

2. Understanding Natural Language Processing (NLP).mp4

12:50

3. Creating Realities Generative AI & Overview.mp4

13:37

8. Stages, Types, and Ethical Considerations

1. The AI Spectrum Exploring Types of AI.mp4

06:15

Description

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

What You'll Learn?

Gain a solid understanding of AI & ML, from basic concepts to advanced topics like Deep Learning
Understand the role of AI & ML in various sectors through real-world examples and practical applications
Master the process of how machines learn, exploring Supervised, Unsupervised, and Reinforcement Learning
Acquire the skills to implement AI & ML solutions using popular programming languages, ensuring ethical AI use

Who is this for?

Beginners interested in learning the basics of AI and Machine Learning

Tech professionals looking to upskill and delve deeper into AI and ML

Researchers and academics who want to stay updated with the latest developments in AI and ML

Anyone curious about the future of technology and its impact on various sectors

What You Need to Know?

No previous experience required

More details

Description
AI & ML Made Easy : A Comprehensive Guide (2024) offers an in-depth exploration of AI and ML, starting from the basics and gradually progressing towards more complex concepts. It begins with an introduction to the course, followed by a comprehensive understanding of intelligence, and then simplifying the definition of AI.
You will journey through the evolution of AI, explore its philosophy, and understand the science that goes on behind the scenes. The course will help you decode the current popularity of AI and explore its different areas. It will demystify the process of how machines learn, and how AI is creating a paradigm shift in our world.
The course also provides an overview of Machine Learning, the fundamental theory behind it, and the role of statistics & computer science in it. You will explore various machine learning approaches and delve into the mechanisms of supervised and unsupervised learning with practical examples.
You will also gain insights into reinforcement learning, statistical algorithms, and the economics of AI. The course will guide you on how to navigate the AI and ML canvas, understand bias in machine learning, and explore the languages used for implementing ML.
Towards the end, the course introduces you to advanced topics like deep learning, natural language processing (NLP), computer vision, and generative AI.

Learning Outcomes
- A thorough understanding of AI and ML concepts.
- An ability to implement AI and ML in real-world scenarios.
- A deeper understanding of the AI and ML process, including supervised and unsupervised learning.
- Proficiency in the terminologies and jargon associated with AI and ML.
- An understanding of the ethical considerations in AI and ML.
- A strong foundation to explore advanced topics like deep learning, NLP, and computer vision.

Career Aspect
AI and ML are among the fastest-growing fields in the tech industry today. This course AI & ML Made Easy : A Comprehensive Guide (2024) will equip you with the knowledge and skills needed to pursue a career in these areas. Whether you are a student looking to start a career in AI and ML, or a professional aiming to switch to these fields, this course will provide you with a solid foundation.

Certification
Upon successful completion of the course, you will receive a Udemy Certificate of Completion. This certification will validate your skills and knowledge in AI and ML, and can be used to enhance your professional profile.

Enrol now in this comprehensive course and kickstart your journey into the fascinating world of AI and Machine Learning. Unleash your potential and step into the future with confidence!
Who this course is for:
Beginners interested in learning the basics of AI and Machine Learning
Tech professionals looking to upskill and delve deeper into AI and ML
Researchers and academics who want to stay updated with the latest developments in AI and ML
Anyone curious about the future of technology and its impact on various sectors

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