Applied Data Science N/A
Unlock the power of data with Applied Data Science N/A by renowned author, published by Springer. This comprehensive guide delves into the core principles of data science, offering readers a blend of theory and practical applications. Explore essential topics such as data analysis, machine learning, and predictive modeling, all presented with clarity and precision. With engaging case studies and real-world examples, this book equips you with the skills to tackle complex data challenges. Ideal for both beginners and seasoned professionals, Applied Data Science N/A is your essential companion on the journey to mastering data-driven decision-making.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.
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