“…Rufus, a physics graduate student and a computer scientist this book probes an experimentally supported hypothesis of backwards time travel - and in so doing addresses key metaphysical issues, such as causation, identity over time and free will. …”

“…Biomedical researcher Sir Harold Himsworth urges scientists not to shy away from using scientific methods to grapple with problems traditionally accepted as belonging to the province of philosophy. …”

“…What motivates judges as decision makers? Political scientist Lawrence Baum offers a new perspective on this crucial question, a perspective based on judges' interest in the approval of audiences important to them. …”

“…The missing manual to becoming a successful data scientist--develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape Key Features Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS Get to grips with critical aspects of data science such as bias in datasets and interpretability of models Gain a deeper understanding of the AI/ML landscape through real-world examples and practical analogies Book Description You might already know that there's a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. …”

“…"Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. …”

“…Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. …”

“…About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn ? …”

“…Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. …”

“…What differentiates a gifted and revolutionary scientist from a more bureaucratic colleague is the capacity and willingness of constantly reevaluating, depurating and refining his/her own paradigm. …”

“…This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio. …”

“…Industrial-organizational psychology embraces a scientist/practitioner model: evidence-based best practice to solve real-world issues. …”

“…This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. …”

“…Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. …”

“…"If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight into today's cloud engineering role. …”

“…For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. …”

“…Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. …”