- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 336
- Publisher: TechPress Publications
Data Mining and Machine Learning Essentials
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Companion website with code samples
- Scalable patterns
- Scenarios for scaling teams and systems in tandem
- Comparative analysis of architecture styles
Data Mining and Machine Learning Essentials is an essential resource for developers looking to master modern software development practices. Through clear explanations and practical examples, this book covers everything from fundamental concepts to advanced techniques.
Whether you're a beginner looking to build a solid foundation or an experienced developer seeking to update your skills, this book provides valuable insights that you can immediately apply to your projects.
- Introduction to Modern Development Practices
- Core Concepts and Fundamentals
- Advanced Techniques and Patterns
- Real-World Applications
- Best Practices and Optimization
- Future Trends and Technologies
- Appendix: Additional Resources
Author
With over 15 years of experience in software development and education, The author has worked with leading tech companies and universities to develop cutting-edge curriculum and training programs.
Community Reviews
Every chapter feels like a mentorship session with someone who’s been in the trenches.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
This is now my go-to reference for best practices. The code samples alone are worth the price.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
This helped me rethink how I approach scalability and modularity in my projects.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This is now my go-to reference for best practices. The code samples alone are worth the price.
This helped me rethink how I approach scalability and modularity in my projects.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
This helped me rethink how I approach scalability and modularity in my projects.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This is now my go-to reference for best practices. The code samples alone are worth the price.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
This is now my go-to reference for best practices. The code samples alone are worth the price.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
I appreciated the balance between theory and implementation. It’s rare to find both done well.