Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset of the data. This volume offers researchers and engineers practical solutions for learning from large scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets. At the same time it offers researchers information that can address the relative lack of theoretical grounding for many useful algorithms. After a detailed description of state-of-the-art support vector machine technology, an introduction of the essential concepts discussed in the volume, and a comparison of primal and dual optimization techniques
save
₹2,871.00
Large-Scale Kernel Machines
The book progresses from well-understood techniques to more novel and controversial approaches. Many contributors have made their code and data available online for further experimentation. Topics covered include fast implementations of known algorithms, approximations that are amenable to theoretical guarantees, and algorithms that perform well in practice but are difficult to analyze theoretically.
₹1,479.00₹4,350.00
Out of stock
Related products
-
Essentials Statistics : Exploring the World through Data 2nd Ed
₹3,198.00We live in a data-driven world, and the goal of this text is to teach students how to access and analyse these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a ‘data habit of mind’ because learning statistics is an essential life skill that extends beyond the classroom. Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students.
₹7,438.00 -
X-Ray Free Electron Lasers
₹8,421.00Edited by pioneers in this exciting field, and featuring contributions from leading researchers, this book discusses the principles and applications of XFELs.
₹19,583.00 -
Free-Radical Synthesis and Functionalization of Heterocycles
₹10,995.00The venerable Minisci reaction allows for direct access to functionalized heterocycles. This process has lately seen an interesting renaissance and is discussed in this volume. Addition of heteroatom-centered radicals onto unsaturated systems constitutes another powerful method to construct heterocycles. Examples of such a strategy are proposed along with the formation of various heterocycles relying on homolytic substitution at sulfur, phosphorus and selenium. Additionally free-radical functionalization of reactive functional groups including isonitriles, isothiocyanates and related unsaturated systems which offer a straightforward route towards useful aromatic and non-aromatic heterocycles are discussed.
₹26,179.00 -
Sustainable Solvents
₹8,421.00The current state-of-the-art of green solvents is evaluated along these lines, in addition to reviewing their applications with an appreciation of sustainability criteria. Providing a critical assessment on emerging solvents and featuring case studies and perspectives from different sectors, this is an important reference for academics and industrialists working with solvents, as well as policy-makers involved in bio-based initiatives.
₹19,583.00
Be the first to review “Large-Scale Kernel Machines”