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Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R …
FinOps brings financial accountability to the variable spend model of cloud. As enterprises move aggressively to cloud, ownership of technology and financial decision-making has …
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 …
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical …
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your …
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by …
The quantum computing market is predicted to grow by nearly $1.3 billion over the next five years. Why? Given their quantum mechanical nature, quantum computers are expected to …
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes-or over 50 million gigabytes-of …
System downtime is a common pain point for a great many organizations. Recently, a 12-hour store outage cost one Silicon Valley giant $25 million. And a 14-hour outage cost another …
Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while …