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Machine Learning Algorithms
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such a...
Mastering Machine Learning Algorithms
Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the ad...
Machine Learning Algorithms
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms Key Features Explore statistics and complex mathematics for data-intensive applications Discover new developments in EM algorithm, PCA, and bayesian regression Study patterns and make predictions across various datasets Book Description Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms...
New Building in Old Cities
The highly influential writings by an important early advocate for the conservation of historic cities are made available for the first time in English. The Italian architect, historian, and restorer Gustavo Giovannoni (1873–1947) was a key figure in the fields of architecture, urbanism, and conservation during the first half of the twentieth century. A traditionalist largely neglected by the proponents of modernist architecture following World War II, he remains little known internationally. His writings, however, until now unavailable in English, represent a significant step toward the full appreciation of the historic city and are directly relevant today to the protection of urban histo...
Mastering Machine Learning Algorithms
Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applicationsBook Description Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning,...
Methods and Tools for Drought Analysis and Management
Frequent drought events have recently occurred in different Mediterranean regions. These have highlighted a general inadequacy of the current strategies applied to mitigate negative impacts of such phenomenon. This book provides various methods of drought monitoring at different spatial scales, as well as innovative drought forecasting techniques based on stochastic approaches. Besides common drought indices (i.e. SPI), new agrometeorological indices are proposed.
Engineering the Eternal City
Between the catastrophic flood of the Tiber River in 1557 and the death of the “engineering pope” Sixtus V in 1590, the city of Rome was transformed by intense activity involving building construction and engineering projects of all kinds. Using hundreds of archival documents and primary sources, Engineering the Eternal City explores the processes and people involved in these infrastructure projects—sewers, bridge repair, flood prevention, aqueduct construction, the building of new, straight streets, and even the relocation of immensely heavy ancient Egyptian obelisks that Roman emperors had carried to the city centuries before. This portrait of an early modern Rome examines the many c...
Philip IV and the World of Spain's Rey Planeta
Did Spain fall into decline or flourish in the seventeenth century? This edited collection looks at perceptions and representations of Philip IV, Spain's 'Planet King', and his government against the backdrop of the seventeenth-century General Crisis in Europe, wars, revolutions and a sovereign debt crisis. Scholars often associate Philip's reign (1621-1665) with decline, decadence, crisis, stagnation and adversity (as did many contemporaries); yet the glittering cultural and artistic achievements (enhanced by his patronage) of the period led it to be dubbed 'the' Golden Age. The book analyses these contradictions, examining Philip's own understanding of kingship and how he and his courtiers used art and ceremony to project an image of strength, tradition, culture and prestige, while, at the same time, the empire grappled with revolts in Europe and falling trade with its New World colonies.
SUPERVISED LEARNING ALGORITHMS CLASSIFICATION AND REGRESSION ALGORITHMS
The branch of computer science known as machine learning is one of the subfields that is increasing at one of the fastest rates now and has various potential applications. The technique of automatically locating meaningful patterns in vast volumes of data is referred to as pattern recognition. It is possible to provide computer programs the ability to learn and adapt in response to changes in their surroundings via the use of tools for machine learning. As a consequence of machine learning being one of the most essential components of information technology, it has therefore become a highly vital, though not always visible, component of our day-to-day life. As the amount of data that is beco...
