Machine Learning Explained

Rated 4.95 out of 5 based on 300 customer ratings

$27

ML Fundamentals in-depth
Key Concepts, Algorithms, Data Processing
Applications Across Industries
Get 100 of the world’s most famous guru eBooks for free!
Join an exclusive business owner community to network and receive 5 hot, newly released eBooks every week.

OR SAVE EVEN MORE

Get all 49 products for $197

Risk-free Purchase: Full refund within 14 days

Paypal Safe Checkout

About Machine Learning Explained

Introducing our comprehensive guide to Machine Learning for beginners. With this ebook, you will gain a deep understanding of the key concepts and techniques used in modern machine learning.

From supervised and unsupervised learning to deep learning and neural networks, this book covers all the fundamental principles of machine learning. You will also learn about the various algorithms and techniques used in machine learning, and how to evaluate and improve the performance of machine learning models.

This is a limited-time offer!

Introduction to machine learning
What is machine learning and how does it differ from other forms of AI?
1. Other forms of AI
2. Key differences between machine learning and AI
Common applications of machine learning
The basics of machine learning algorithms
Types of data in machine learning
Preparing and preprocessing data for machine learning
Supervised learning algorithms
Unsupervised learning algorithms
Evaluating and improving the performance of machine learning models
Challenges and limitations of machine learning
1. Data quality and quantity
2. Overfitting and underfitting
3. Choosing the right algorithm and hyperparameters
4. Human bias
5. Explainability and interpretability
6. Computational resources
7. Ethical considerations
8. Robustness and generalization
9. Security and privacy
10. Human oversight
11. Ethical considerations
Neural networks and deep learning
Artificial intelligence vs. Machine learning vs. Deep learning
Natural language processing with machine learning
1. Several approaches to NLP with machine learning
Computer vision and image recognition with machine learning
Predictive analytics with machine learning
An introduction to reinforcement learning
Real-world applications of machine learning in various industries
1. Healthcare
2. Finance
3. Retail
4. Manufacturing
5. Transportation
6. Energy
7. Education
8. Cybersecurity
9. Advertising
10. Social media
11. Supply chain management
12. Customer service
13. HR
14. Telecommunications
The Role of Machine Learning in Transforming Industries and Professions
The ethics and social implications of machine learning
1. Bias in data
2. Transparency
3. Privacy
4. Autonomy
5. Social and economic impacts
6. Responsibility and accountability
Machine learning and big data
The role of data visualization in machine learning
Ensemble methods in machine learning
Transfer learning in machine learning
Role of machine learning in shaping society
Integration of machine learning with other technologies
Ethical implications of advanced machine learning systems
1. Bias in machine learning algorithms
2. Uninterpretability of machine learning algorithm
3. Privacy concerns
4. Potential for misuse or abuse of machine learning
5. Need for regulation
Future of machine learning, where we’re heading?
Conclusion

‘…frontrunner in delivering top-tier digital business resources…’

‘…has been making waves with its flagship product…’

‘…consistent emphasis on simplifying complex business topics…’

‘…shaping the future of digital business learning…’

‘…valuable resource in the ever-evolving world of business education…’

Testimonials

98.7%

Exeptional feedback from our readers

11,375+ Business Leaders used this pack of resources to propel their business growth

Reviews (300)

300 reviews for Machine Learning Explained

Rated 5 out of 5

Jackson Walker Verified Buyer – 29/10/2022

I would highly recommend this book to anyone looking to understand VR and AR in a practical way. It’s engaging and informative.
Rated 5 out of 5

Nora Smith Verified Buyer – 24/10/2022

This book made me appreciate the amount of work that goes into creating immersive VR and AR experiences.
Rated 5 out of 5

Nicholas Taylor Verified Buyer – 23/10/2022

The breakdown of VR and AR business models was particularly interesting. Great insights for entrepreneurs!
Rated 5 out of 5

Mia Hayes Verified Buyer – 19/10/2022

I wish I had read this book sooner! It answered so many questions I had about VR and AR technology.
Rated 5 out of 5

Luca Bennett Verified Buyer – 13/10/2022

The comparisons between different VR and AR devices were very helpful for someone like me who’s considering investing in one.
Rated 5 out of 5

Grace Robinson Verified Buyer – 09/10/2022

The author’s ability to simplify technical topics without losing depth is impressive. A great read!
Rated 5 out of 5

John Robinson Verified Buyer – 03/10/2022

I never realized how many industries are using VR and AR until I read this book. It’s truly fascinating!
Rated 5 out of 5

Olivia Foster Verified Buyer – 02/10/2022

This book is packed with knowledge but doesn’t feel overwhelming. The structure makes it easy to follow.
Rated 5 out of 5

Isaac Cooper Verified Buyer – 01/10/2022

As an educator, I found the section on AR in learning environments incredibly useful. It gave me great ideas for future projects.
Rated 5 out of 5

Amelia Edwards Verified Buyer – 30/09/2022

The chapter on AI-driven innovations in VR and AR was a game-changer. I had no idea how AI was influencing these fields!