Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It is packed with practical statistical techniques, each de…
100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors, from beginner missteps to mistakes even Java experts don't know they're making. Each case includes clear examples to show you wha…
Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…
Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools.
Logs and Telemetry…
Speed up your testing and deliver exceptional product quality with the power of AI tools.
The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you …
Learn how to handle errors, inefficiencies, and outdated paradigms by exploring the most common mistakes you’ll find in production C++ code.
C++ is a complex and powerful language. With an estimated ten …
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