The seamanship classic you should have on-board when sailing in rough weatherAdlard Coles' Heavy Weather Sailing provides you with expert advice for when you venture out of sight of land, whether for racing or cruising. It gives a clear message of seamanlike design features, preparations, and tactics that you should consider against the time when it comes on to blow. It includes new how-to chapters on storm sails, taking shelter, and managing multihulls in...

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemin...

For over 50 years Heavy Weather Sailing has been regarded as the ultimate international authority on surviving storms at sea aboard sailing and motor vessels.In this book, former Commodore of the Ocean Cruising Club Martin Thomas brings together a wealth of expert advice from many of the great sailors of the present, including fresh accounts of yachts overtaken by extreme weather, from Ewan Southby-Tailyour, Alex Whitworth and Dag Pike to Larry and Lin Par...

Step into the annals of history with "The History Teachers Magazine, Vol. I, No. 5, January 1910." This meticulously preserved volume offers an unparalleled glimpse into the past, providing a treasure trove of insights and perspectives from the minds of renowned historians. From ancient civilizations to modern-day events, this magazine delves into the complexities of human history, shedding light on the forces that have shaped our world. Prepare to embark on an enlightening journey through...

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data explorationStatistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and ...

Previous studies conducted within the aviation industry have examined a multitude of crucial aspects such as policy, airline service quality, and revenue management. An extensive body of literature has also recognised the importance of decision-making in aviation, with the focus predominantly on pilots and air traffic controllers. Understanding Decision-Making Processes in Airline Operations Control focuses instead on an area largely overlooked: an airline's Operations Control Centre (OCC)...

Want the hardest-working shop on the block? The secret lies in streamlining the woodworking process by maximizing your space and organizing your work area. Now, Workshop Projects, Fixtures and Tools for a Successful Shop brings you more than two dozen ingenious projects for setting up your shop to save time, money, and frustration. 29 ingenious projects that will enhance woodworking tools, and maximize your workshop space. Guarantees a more productive woodworking experience.

MACHINE LEARNING FOR BUSINESS ANALYTICSMachine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers...

Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrapA uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally ...

Machine Learning for Business AnalyticsMachine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook ...

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textbook covers both statistical and machine learning (AI) algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, network analytics and generative AI. Along with hands-on exercises and real-...

Astrophilosopy, Exotheology, and Cosmic Religion: Extraterrestrial Life in a Process Universe applies Alfred North Whitehead’s process philosophy and the associated process philosophies of Henri Bergson, Teilhard de Chardin, and others to the interdisciplinary layers of astrobiology, extraterrestrial life, and the impact of discovery. This collection, edited by Andrew M. Davis and Roland Faber, asks questions such as “How have process thinkers imagined universal creative evolution...