The.Hottest

Friday, September 23, 2022 , , ,
Noah Gift ... 272 pages - Publisher: Addison-Wesley Professional; (September, 2018) ... Language: English - ISBN-10: 0134863860 - ISBN-13: 978-0134863863.

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning: Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value.

Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need + Quickly review all the Python you need to start building machine learning applications + Master the AI and ML tool chain and project lifecycle + Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn + Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems + Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services + Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more + Work with Microsoft Azure AI APIs + Walk through building six real-world AI applications, from start to finish.
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Saturday, September 17, 2022 , ,
Charu C. Aggarwal ... 520 pages - Language: ‎English - Publisher: Springer; (September, 2018) - ISBN-10:‎ 3319944622 - ISBN-13:‎ 978-3319944623.

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories:

The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10.

The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
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Sunday, September 11, 2022 , ,
Peter Sestoft ... 341 pages - Publisher: Springer; 2nd edition (September, 2017) ... Language: English - ISBN-10: 331960788X - ISBN-13: 978-3319607887.

This book uses a functional programming language (F#) as a metalanguage to present all concepts and examples, and thus has an operational flavour, enabling practical experiments and exercises. It includes basic concepts such as abstract syntax, interpretation, stack machines, compilation, type checking, garbage collection, and real machine code. Also included are more advanced topics on polymorphic types, type inference using unification, co- and contravariant types, continuations, and backwards code generation with on-the-fly peephole optimization. This second edition includes two new chapters. One describes compilation and type checking of a full functional language, tying together the previous chapters. The other describes how to compile a C subset to real (x86) hardware, as a smooth extension of the previously presented compilers.The examples present several interpreters and compilers for toy languages, including compilers for a small but usable subset of C, abstract machines, a garbage collector, and ML-style polymorphic type inference. Each chapter has exercises. Programming Language Concepts covers practical construction of lexers and parsers, but not regular expressions, automata and grammars, which are well covered already. It discusses the design and technology of Java and C# to strengthen students’ understanding of these widely used languages.
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Saturday, August 27, 2022 ,
Jasbir Singh Arora ... 912 pages - Publisher: Academic Press; 4th edition (April, 2016) - Language: English - ISBN-10: 0128008067 - ISBN-13: 978-0128008065.

Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level in engineering departments of all disciplines, with a primary focus on mechanical, aerospace, and civil engineering courses. Through a basic and organized approach, the text describes engineering design optimization in a rigorous, yet simplified manner, illustrates various concepts and procedures with simple examples, and demonstrates their applicability to engineering design problems.

Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text using Excel and MATLAB as learning and teaching aids. This fourth edition has been reorganized, rewritten in parts, and enhanced with new material, making the book even more appealing to instructors regardless of course level. Includes basic concepts of optimality conditions and numerical methods that are described with simple and practical examples, making the material highly teachable and learnable + Presents applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems + Provides practical design examples that introduce students to the use of optimization methods early in the book + Contains chapter on several advanced optimum design topics that serve the needs of instructors who teach more advanced courses.
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Sunday, August 21, 2022 ,
Dimitrios Kolymbas ... 199 pages - Language: English - Publisher: Cambridge Univ. Press; (August, 2022).

A Primer to Theoretical Soil Mechanics is about adapting continuum mechanics to granular materials. The field of continuum mechanics offers many fruitful concepts and methods, however there is declining interest in the field due to its complex and fragmented nature. This book's purpose is therefore to facilitate the understanding of the theoretical principles of soil mechanics, as well as introducing the new theory of barodesy. This title argues for barodesy as a simple alternative to the plasticity theory used currently and provides a systematic insight into this new constitutive model for granular materials. This book therefore introduces a complex field from a fresh and innovative perspective using simple concepts, succinct equations and explanatory sketches. Intended for advanced undergraduates, graduates and PhD students, this title is also apt for researchers seeking advanced training on fundamental topics.
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Saturday, August 13, 2022 , ,

P. Purushothama Raj ... 880 pages - Publisher: Pearson; 2nd edition (July, 2013) ... Language: English - AmazonSIN: B00I962Z3C.

Soil Mechanics and Foundation Engineering, 2nd edition Presents the principles of soil mechanics and foundation engineering in a simplified yet logical manner that assumes no prior knowledge of the subject. It includes all the relevant content required for a sound background in the subject, reinforcing theoretical aspects with comprehensive practical applications.  

Contents: chapter 1: soil formation and composition chapter 2: index properties of soils chapter 3: identification and classification of soils chapter 4: compaction of soils chapter 5: permeability and capillarity chapter 6: seepage chapter 7: stress and stress distribution in soil chapter 8: consolidation and consolidation settlement chapter 9: shear strength of soils chapter 10: laboratory measurement of soil properties chapter 11: lateral earth pressure chapter 12: earth- retaining structures chapter 13: stability of slopes chapter 14: bearing capacity of soils chapter 15: shallow foundations chapter 16: pile foundation chapter 17: drilled piers and caisson foundations chapter 18: ground investigation chapter 19: soil improvement chapter 20: embankment dams chapter 21: dynamic loading of soil chapter 22: environmental geotechnology chapter 23: introductory rock mechanics chapter 24: pavements.

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Saturday, August 06, 2022 , ,
Amir R. Khoei ... 584 pages - Publisher: Wiley; (February, 2015) ... Language: English - ISBN-10: 1118457684 - ISBN-13: 978-1118457689.

The finite element method (FEM) technique has been developed to simulate and analyze complex engineering problems. However, there are a number of drawbacks with finite element simulation of discontinuous problems, such as fracture mechanics problems, including the computational cost of a very fine finite element mesh and the complex remeshing strategy in capturing discontinuity. The extended finite element method (XFEM) has therefore been developed to improve the performance of the conventional finite element method in discontinuity problems. Extended Finite Element Method: Theory and Applications introduces the theory and applications of XFEM in the linear and nonlinear problems of continua, structures, and geomechanics. It begins by introducing the concept of a partition of unity, various enrichment functions, and fundamentals of XFEM formulation. It then covers the theory and application of XFEM in large deformations, plasticity, and contact problems. The implementation of XFEM in fracture mechanics, including linear, cohesive, and ductile crack propagation, is also covered. Finally, the theory and applications of XFEM in multiphase fluid flow, including hydraulic fracturing in soil saturated media and crack propagation in thermo-hydro-mechanical porous media, are discussed in detail. Key features: Comprehensively introduces XFEM analysis + Explains the theory and applications of XFEM in various continuum and geo-mechanical problems + Includes worked examples + Accompanied by a website hosting source code and examples. Extended Finite Element Method: Theory and Applications is a comprehensive introduction to XFEM analysis for researchers and practitioners in industry, and is also an ideal textbook for graduate students in mechanical and civil engineering.ccompanied by a website hosting source code and examples
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Sunday, July 31, 2022 , ,
Mohammad Karamouz ... 924 pages - Language: English - Publisher: CRC Press; (December, 2021) - AmazonSIN: ‎B09LR3V8QJ.

This book presents three distinct pillars for analysis, design, and planning: urban water cycle and variability as the state of water being; landscape architecture as the medium for built-by-design; and total systems as the planning approach. The increasing demand for water and urban and industrial expansions have caused myriad environmental, social, economic, and political predicaments. More frequent and severe floods and droughts have changed the resiliency and ability of water infrastructure systems to operate and provide services to the public. These concerns and issues have also changed the way we plan and manage our water resources. Focusing on urban challenges and contexts, the book provides foundational information regarding water science and engineering while also examining topics relating to urban stormwater, water supply, and wastewater infrastructures. It also addresses critical emerging issues such as simulation and economic modeling, flood resiliency, environmental visualization, satellite data applications, and digital data model (DEM) advancements.

Features: Explores various theoretical, practical, and real-world applications of system analysis, design, and planning of urban water infrastructures + Discusses hydrology, hydraulics, and basic laws of water flow movement through natural and constructed environments + Describes a wide range of novel topics ranging from water assets, water economics, systems analysis, risk, reliability, and disaster management + Examines the details of hydrologic and hydrodynamic modeling and simulation of conceptual and data-driven models + Delineates flood resiliency, environmental visualization, pattern recognition, and machine learning attributes + Explores a compilation of tools and emerging techniques that elevate the reader to a higher plateau in water and environmental systems management.

Water Systems Analysis, Design, and Planning: Urban Infrastructure serves as a useful resource for advanced undergraduate and graduate students taking courses in the areas of water resources and systems analysis, as well as practicing engineers and landscape professionals.
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Saturday, July 23, 2022 , , ,
Oasys Greta v19.3.5.0 [Size: 102 MB] ... Oasys Greta is a tool for civil and geotechnical engineers that provides comprehensive stability analysis for gravity retaining walls, and forms part of our Geotechnical Suite Pro and Geotechnical Suite bundles.

For the stability analysis of gravity retaining wall design, Oasys Greta provides users with the ability to validate and standardise in-house calculations across projects.

Civil and geotechnical engineers responsible for routine gravity retaining wall design use Oasys Greta as it provides a validated, robust and user-friendly method of calculations, ensuring acceptable and appropriate QA and QC standards are met.
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Sunday, July 17, 2022 , ,
Oasys Safe v19.1.1.31 [Size: 69 MB] ... Solve your geotechnical problem with powerful two-dimensional geotechnical finite element design software. Whether you need to do two-dimensional finite element computations in plane stress, plane strain, or axial symmetry, Safe takes care of it. The smart geotechnical finite element analysis software identifies pore pressures and effective stresses separately and includes gravitational loads and initial stresses.

Features: Analysis of plane stress, plane strain or axially symmetric problems. General loading of linear elastic axisymmetric structures can be carried out using a Fourier series technique. + Linear or non-linear behaviour. + Gravity loading. + Pore pressures and effective stresses are identified separately, allowing computation for drained or undrained conditions, and time dependent consolidation. + Incremental loading and changes of material properties, permitting the formation of excavations, embankments etc. + Intermediate results can be stored and inspected before the problem is continued further. + Pressure (distributed) and line loading. + Fixed or spring restraints. + 8 noded quadrilateral elements. These can be curvilinear. + Consolidation problems. + Wells. + Seepage and flow. + Extensive graphical input options and in-built mesh generation facility.
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Sunday, July 03, 2022 , , ,
Oasys XDisp v20.2.3.0 [Size: 121 MB] ... Oasys XDisp Pro is used to undertake and produce building, utilities and rail damage assessments, can undertake a multi-stage construction analysis without the need for multiple models, and is a core component of the Ground Movement Bundle Pro and the Geotechnical Suite Pro.

Oasys XDisp Pro is used by geotechnical and civil engineers on projects that require the need to control, limit and mitigate excessive ground displacements which may have a detrimental effect on existing or future builds.

Geotechnical and civil engineers overseeing ground movement assessments such as part of linear infrastructure design use Oasys XDisp Pro as it provides a validated, robust and user-friendly method of calculations, ensuring acceptable and appropriate QA and QC standards are met.

Combined with Oasys PDisp, geotechnical engineers can undertake comprehensive building and utilities damage assessments, including multi-stage construction analysis.
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Saturday, June 11, 2022 , ,
Igor Griva, Stephen G. Nash, Ariela Sofer ... 764 pages - Publisher: Society for Industrial Mathematics; 2nd edition (December, 2008) ... Language: English - ISBN-10: 0898716616 - ISBN-13: 978-0898716610.

This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Its unique modular structure provides flexibility to accommodate the varying needs of instructors, students, and practitioners with different levels of sophistication in these topics. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support-vector machines. Part I of Linear and Nonlinear Optimization, Second Edition provides fundamentals that can be taught in whole or in part at the beginning of a course on either topic and then referred to as needed. Part II on linear programming and Part III on unconstrained optimization can be used together or separately, and Part IV on nonlinear optimization can be taught without having studied the material in Part II. In the preface the authors suggest course outlines that can be adjusted to the requirements of a particular course on both linear and nonlinear optimization, or to separate courses on these topics. Three appendices provide information on linear algebra, other fundamentals, and software packages for optimization problems. A supplemental website offers auxiliary data sets that are necessary for some of the exercises.

Audience: This book is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate and graduate students. It is also appropriate as a tutorial for researchers and practitioners who need to understand the modern algorithms of linear and nonlinear optimization to apply them to problems in science and engineering. Contents: Preface; Part I: Basics; Chapter 1: Optimization Models; Chapter 2: Fundamentals of Optimization; Chapter 3: Representation of Linear Constraints; Part II: Linear Programming; Chapter 4: Geometry of Linear Programming; Chapter 5: The Simplex Method; Chapter 6: Duality and Sensitivity; Chapter 7: Enhancements of the Simplex Method; Chapter 8: Network Problems; Chapter 9: Computational Complexity of Linear Programming; Chapter 10: Interior-Point Methods of Linear Programming; Part III: Unconstrained Optimization; Chapter 11: Basics of Unconstrained Optimization; Chapter 12: Methods for Unconstrained Optimization; Chapter 13: Low-Storage Methods for Unconstrained Problems; Part IV: Nonlinear Optimization; Chapter 14: Optimality Conditions for Constrained Problems; Chapter 15: Feasible-Point Methods; Chapter 16: Penalty and Barrier Methods; Part V: Appendices; Appendix A: Topics from Linear Algebra; Appendix B: Other Fundamentals; Appendix C: Software; Bibliography; Index
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