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"R.F.K. Must Die!"
The definitive text on the mystery of R.F.K.'s assassination by a reporter who "got inside this story . . . with his impressive grasp of all the loose ends" ( Kirkus Reviews). On the night of June 4, 1968, Sirhan Sirhan shot and killed Sen. Robert F. Kennedy in a steamy pantry of the Los Angeles Ambassador Hotel. Kennedy and his entourage had been celebrating his victory in the California primary for the Democratic nomination for president. Everybody knew that Sirhan was the assassin. But was there a wider conspiracy? Did the FBI truly solve the crime? After working his way deep inside the investigation—and spending more than two hundred hours in direct conversation with Sirhan—Robert Blair Kaiser wrote the quintessential book on Robert Kennedy's murder. Then, forty years later, Kaiser returned to the evidence, revising his original text as he probed even further into this mystifying tragedy. Widely recognized as an important contribution to the literature of political assassinations and as a primary document on the tragedy of Kennedy's death, "R.F.K. Must Die!" is more than ever a stunning look into the mind of a killer and the substance of an assassination.
Foundational Python for Data Science
Learn all the foundational Python you'll need to solve real data science problems Data science and machine learning--two of the world's hottest fields--are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyte...
Implementing MLOps in the Enterprise
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many compone...
Pragmatic AI
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machi...
Fetal Research, 1974
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