Science des données

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value.

In The Legal Singularity, Abdi Aidid and Benjamin Alarie argue that the proliferation of artificial intelligence-enabled technology is on the verge of radically reconfiguring the law, our institutions, and our society for the better....

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm....

Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems.

This book consists of 6 titles.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers....

The insider account of the data revolution that has swept through the modern football world written by one of its key architects, Ian Graham.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. The audiobook offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data....

Data science is an exciting field and will remain as such for many years to come. With more people than ever studying data science, machine learning & AI, there is an increasing gap between what you learn in the classroom and how data science is done in the real world.

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production....