- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 442
- 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
- Coverage of modern cloud-native practices
- Step-by-step walkthroughs of core components
- Scalable patterns
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
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
This book completely changed my approach to coding. The examples are practical and easy to follow.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
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.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
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.