- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 371
- 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.
- Step-by-step walkthroughs of core components
- Real-world design trade-offs explained clearly
- Scenarios for scaling teams and systems in tandem
- 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
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
This is now my go-to reference for best practices. The code samples alone are worth the price.
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.
This book completely changed my approach to coding. The examples are practical and easy to follow.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
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.
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've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
This helped me rethink how I approach scalability and modularity in my projects.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.