Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
If you like book Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures here is the list of books you may also like
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The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed…
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Storytelling with Data: A Data Visualization Guide for Business Professionals
Don't simply show your data — tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of…
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The Pragmatic Programmer: From Journeyman to Master
Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a …
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with dat…
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'l…
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…
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Python for Data Analysis
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing i…
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged …
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Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (Voices That Matter)
Since Don’t Make Me Think was first published in 2000, over 400,000 Web designers and developers have relied on Steve Krug’s guide to help them understand the principles of intuitive navigation and in…
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AI Engineering: Building Applications with Foundation Models
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has trans…
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Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to …
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Staff Engineer: Leadership Beyond the Management Track
At most technology companies, you’ll reach Senior Software Engineer, the career level for software engineers, in five to eight years. At that career level, you’ll no longer be required to work towards…
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