- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 277
- 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.
- Modular design principles for maintainability
- Performance tuning techniques
- Deployment strategies across environments
- Hands-on exercises and projects
- Step-by-step walkthroughs of core components
- Visual diagrams for complex flows
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.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
This helped me rethink how I approach scalability and modularity in my projects.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
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.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
This book completely changed my approach to coding. The examples are practical and easy to follow.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
This helped me rethink how I approach scalability and modularity in my projects.