David Paper

2 books

About the Author

David Paper is a seasoned data scientist and educator with over two decades of experience in machine learning and Python programming. Holding a PhD in computer science, he has worked as a consultant for Fortune 500 companies, developing innovative AI solutions that drive business intelligence and predictive analytics. Passionate about making complex technologies accessible, David authors technical guides that bridge the gap between theory and practice, empowering aspiring data professionals to harness the power of open-source tools. His writing demystifies algorithms and workflows, drawing from real-world applications in industries ranging from finance to healthcare. When not coding or teaching, David enjoys hiking in the Rockies and mentoring young engineers through online communities.

Common genres

Data Science Deep Learning Machine Learning Programming Python

Writing style

clear practical instructional

Books by David Paper

Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundament…

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Machine Learning Data Science Python

TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on G…

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Programming Python Deep Learning