Processes Machines

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 data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Lie Machines is full of riveting behind-the-scenes stories from the world's biggest and most damagingly successful misinformation initiatives - including those used in Brexit and US elections. Howard not only shows how these campaigns evolved from older propaganda operations, but also exposes their new powers, gives us insight into their effectiveness, and shows us how to shut them down.

For decades, history has considered Tammany Hall, New York's famous political machine, shorthand for the worst of urban politics: graft, crime, and patronage personified by notoriously corrupt characters. Infamous crooks like William "Boss" Tweed dominate traditional histories of Tammany, distorting our understanding of a critical chapter of American political history. In Machine Made, historian and New York City journalist Terry Golway convincingly dismantles these stereotypes.

In his book, The Process-Driven Annual Fund, Ron Rescigno explains how Rescigno’s proven process, when followed, will result in a thriving annual fund, including more new donors, better donor retention and more major gift prospects than ever before.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.