- ISBN: 979-8874214982
- Published: January 6, 2024
- Pages: 385
- 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.
- Interview-ready implementation insights
- Real-time data flow and event-driven design
- Load balancing and traffic management techniques
- Best practices from industry experts
- Guidance on choosing the right tech stack
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.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
This is now my go-to reference for best practices. The code samples alone are worth the price.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
The section on API design alone saved me hours of refactoring. Brilliantly structured.