Grokking Algorithms
Aditya Bhargava
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Human-Computer Interaction : An Empirical Research Perspective
I. Scott (Associate Professor of Computer Science and Engin MacKenzie
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Art of Sound : Creativity in Film Sound and Electroacoustic Music
Andrew Knight-Hill
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Distributed Machine Learning Patterns
Yuan Tang
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Continuous Delivery for Kubernetes
Mauricio Salatino
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Graph Algorithms for Data Science
Tomaz Bratanic
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Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
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Causal Inference in Python : Applying Causal Inference in the Tech Industry
Matheus Facure
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Pattern Recognition and Machine Learning
Christopher M. Bishop
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Understanding Deep Learning
Simon J.D. Prince
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Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Kyle Gallatin
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Think Like a UX Researcher : How to Observe Users, Influence Design, and Shape Business Strategy
David (System Concepts, London, UK) Travis
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Modern Recording Techniques : A Practical Guide to Modern Music Production
David Miles (Freelance Recording Engineer; Consultant; Contribu Huber
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Fundamentals of Data Observability : Implement Trustworthy End-To-End Data Solutions
Andy Petrella
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Building Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Delta Lake: Up and Running : Modern Data Lakehouse Architectures with Delta Lake
Bennie Haelen
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Machine Learning Interviews : Kickstart Your Machine Learning Career
Susan Shu Chang
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Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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Official Google Cloud Certified Professional Machine Learning Engineer Study Guide
Mona Mona
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Mixing Audio : Concepts, Practices, and Tools
Roey Izhaki
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Probabilistic Machine Learning for Finance and Investing : A Primer to the Next Generation of AI with Python
Deepak K. Kanungo
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