- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 307
- 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.
- Real-world design trade-offs explained clearly
- Comparative analysis of architecture styles
- Best practices from industry experts
- Real-world examples and case studies
- Companion website with code samples
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 writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
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.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This helped me rethink how I approach scalability and modularity in my projects.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.