-20%
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
Original price was: ₹4,990.00.₹3,993.00Current price is: ₹3,993.00.
This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks.
-20%
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
Original price was: ₹4,990.00.₹3,993.00Current price is: ₹3,993.00.
This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks.
-20%
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Original price was: ₹12,809.00.₹10,248.00Current price is: ₹10,248.00.
This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.
-20%
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Original price was: ₹12,809.00.₹10,248.00Current price is: ₹10,248.00.
This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.
-20%
Bayesian Optimization and Data Science
Original price was: ₹6,033.00.₹4,827.00Current price is: ₹4,827.00.
Gives readers an idea of the potential of the application of Bayesian Optimization to both traditional feels and emerging ones Provides full and updated coverage of the areas of constrained Bayesian Optimization and Safe Bayesian Optimization Covers software resources, allowing readers to make informed and educated choices among the different platforms available to set up Bayesian Optimization components in academic and industrial activities Allows a full understanding of the basic algorithmic framework, including recent proposals about acquisition functions
-20%
Bayesian Optimization and Data Science
Original price was: ₹6,033.00.₹4,827.00Current price is: ₹4,827.00.
Gives readers an idea of the potential of the application of Bayesian Optimization to both traditional feels and emerging ones Provides full and updated coverage of the areas of constrained Bayesian Optimization and Safe Bayesian Optimization Covers software resources, allowing readers to make informed and educated choices among the different platforms available to set up Bayesian Optimization components in academic and industrial activities Allows a full understanding of the basic algorithmic framework, including recent proposals about acquisition functions
-20%
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Original price was: ₹11,767.00.₹9,414.00Current price is: ₹9,414.00.
Beginners will achieve an overview of optimization methods Researchers will gain access to to a useful reference on key topics Mathematical rigour and heuristics approaches equip the reader with different viewpoints on the same problem
-20%
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Original price was: ₹11,767.00.₹9,414.00Current price is: ₹9,414.00.
Beginners will achieve an overview of optimization methods Researchers will gain access to to a useful reference on key topics Mathematical rigour and heuristics approaches equip the reader with different viewpoints on the same problem
-20%
Deep Learning Architectures
Price range: ₹5,661.00 through ₹7,746.00
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors.
-20%
Deep Learning Architectures
Price range: ₹5,661.00 through ₹7,746.00
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors.
-20%
First-order and Stochastic Optimization Methods for Machine Learning
Original price was: ₹13,852.00.₹11,082.00Current price is: ₹11,082.00.
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
-20%
First-order and Stochastic Optimization Methods for Machine Learning
Original price was: ₹13,852.00.₹11,082.00Current price is: ₹11,082.00.
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
-20%
Information Retrieval and Natural Language Processing
Original price was: ₹11,767.00.₹9,414.00Current price is: ₹9,414.00.
This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples.
-20%
Information Retrieval and Natural Language Processing
Original price was: ₹11,767.00.₹9,414.00Current price is: ₹9,414.00.
This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples.
-20%
Irregularity in Graphs
Original price was: ₹7,075.00.₹5,661.00Current price is: ₹5,661.00.
Die Theorie der regularen Graphen (The Theory of Regular Graphs), written by the Danish Mathematician Julius Petersen in 1891, is often considered the first strictly theoretical paper dealing with graphs. In the 130 years since then, regular graphs have been a common and popular area of study.
-20%
Irregularity in Graphs
Original price was: ₹7,075.00.₹5,661.00Current price is: ₹5,661.00.
Die Theorie der regularen Graphen (The Theory of Regular Graphs), written by the Danish Mathematician Julius Petersen in 1891, is often considered the first strictly theoretical paper dealing with graphs. In the 130 years since then, regular graphs have been a common and popular area of study.
-20%
Research in Data Science
Original price was: ₹9,160.00.₹7,329.00Current price is: ₹7,329.00.
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia.
-20%
Research in Data Science
Original price was: ₹9,160.00.₹7,329.00Current price is: ₹7,329.00.
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia.