Artificial Intelligence and International HRM, Malik, Ashish
Автор: Sharma Ashish Название: Competency-Based Comprehensive Manual Of Practical And Clinical Biochemistry ISBN: 9352700554 ISBN-13(EAN): 9789352700554 Издательство: JayPee Brothers India Рейтинг: Цена: 2809.00 р. 3511.00-20% Наличие на складе: Есть (2 шт.) Описание: Good Practices in Palliative Care : a psychosocial perspective provides detailed descriptions of innovatory practices and how they were developed, together with clear practice principles. This unique contribution to palliative care literature is suitable for a wide range of health and social care professionals at student and experienced levels and is written in a user-friendly style.
Описание: Embodied energy and cost of load bearing masonry with alternative binders and units - case study.- Assessing efficiency of protective treatment materials for brick structures.- Structural Performance of Timber-Framed Joints for Sustainable Civil Engineering Construction.- Enhancement of Sub-Grade Soil Strength with Additives: Cement & Molasses.- Development of innovative green self-compacting concrete with partial replacement of fine and coarse aggregate by using slag.- Utilization of industrial wastes in concrete mixes - A review .- Precious Recycling of Reclaimed Asphalt as Hot Mix Asphalt by Use of Rejuvenator.- Thermal properties of foamed concrete; a review.- Influence of Bacillus megaterium on crack healing and mechanical properties of concrete.- Re-interpreting and Adapting the Site Specific Vernacular Passive House Architectural Strategies for Reducing Building Energy Demand.- A comparative study on the sustainability of public and private road transportation systems in an urban area: Current and future scenarios.- Structural Property Assessment of GFRP Reinforced Concrete Beams.- Concrete with Encapsulated Self-Healing Agent: A Critical Review.- Effect of masonry infills on seismic response of RC framed buildings.- Role of FRP in developing sustainable infrastructure - A review.- Applications of Fiber Reinforced Polymer Laminates in Strengthening of Structures.- Behaviour of RC Beam-Column Joint subjected to Opening Moments: Test & Numerical Validation.- Reduction of annual energy consumption of Multifamily dwellings using BIM and Simulation Tools.- Evaluating the effect of speed variation on vehicular emission using an integrated modelling approach.- Cold-formed Steel Concrete Composite Slab: Structural Performance Evaluation through Experimental Study.- Investigation of Critical Factors Influencing Cost Overrun in Highway Construction Projects .- Use of Char Derived from Waste Plastic Pyrolysis for Asphalt Binder Modification .- Development of sustainable masonry blocks using industrial rejects and alkali activation.- Self-Compacting Concrete - Optimization of Mix Design Procedure by the Modifications of Rational Method.- Corrosion characteristics of rebar induced in different types of fibre reinforced concrete.- Physical and microstructural properties of Construction and Demolition Waste based masonry units.- Waste Recycled PET as A Binder in Polymer Mortar.- A Study on Performance of Carbon based Nano-enabled Cement Composites and Concrete.- Cost and Feasibility Analysis of Chromium Removal from Water using Agro and Horticultural Wastes as Adsorbents.- Influence of the packing density of fine particles in ternary, quaternary and quinary blends on High Performance Concrete.- Experimental Investigation of Rheological Properties of Recycled Aggregate Concrete.- Management of sustainable infrastructure projects: A scientometric analysis.- Utilization of stone dust as an effective alternative for sand replacement in concrete.- Design of new green building using Indian Green Building Council rating system.- Characterization and Optimization of Polyurethane Based Bituminous Waterproofing Membrane.- An overview on utilization of stone waste in construction industry.
Описание: This book constitutes the refereed post-conference proceedings of the Third IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2020, held in Chennai, India, in February 2020.The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 94 submissions.
Автор: Agrawal, Ashish Bhavsar, Avinash Parker, Mj Singh, Gurvinder Название: Exam ref az-304 microsoft azure architect design ISBN: 0137268890 ISBN-13(EAN): 9780137268894 Издательство: Pearson Education Рейтинг: Цена: 5833.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first practical, hands-on guide to knowledge transfer in today`s agile environments. Using a realistic, large-scale case study, ThoughtWorks expert Vinod Sankaranarayanan shows how to elevate knowledge transfer from "necessary evil" to an activity full of agility and innovation, and bring together multiple organizations and cultures to make ownership transfer work.
Автор: Pandey Ashish, Mishra S. K., Kansal M. L. Название: Water Management and Water Governance: Hydrological Modeling ISBN: 3030580539 ISBN-13(EAN): 9783030580537 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1. Application of RS and GIS in Watershed Management.- 2. Application of RS and GIS in Agricultural Water Management.- 3. Hydrological Modeling.- 4. Intelligent Water Management.- 5. Water Governance
Описание: Effortless Cloud-Native App Development Using Skaffold helps you understand concepts like hot reloading for applications running on Kubernetes. You`ll learn to automate your inner development loop to be able to ship your applications faster, and develop a solid understanding of various features of Skaffold, its workflow, and architecture.
Автор: Gupta Ashish Название: Learning Apache Mahout Classification ISBN: 1783554959 ISBN-13(EAN): 9781783554959 Издательство: Неизвестно Рейтинг: Цена: 6768.00 р. Наличие на складе: Нет в наличии.
Автор: Bateman Blaine, Jha Ashish Ranjan, Johnston Benjamin Название: The Supervised Learning Workshop, Second Edition ISBN: 1800209045 ISBN-13(EAN): 9781800209046 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples
Key Features
Understand how to use PyTorch 1.x to build advanced neural network models
Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques
Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more
Book Description
Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.
The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.
By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
What You Will Learn
Implement text and music generating models using PyTorch
Build a deep Q-network (DQN) model in PyTorch
Export universal PyTorch models using Open Neural Network Exchange (ONNX)
Become well-versed with rapid prototyping using PyTorch with fast.ai
Perform neural architecture search effectively using AutoML
Easily interpret machine learning (ML) models written in PyTorch using Captum
Design ResNets, LSTMs, Transformers, and more using PyTorch
Find out how to use PyTorch for distributed training using the torch.distributed API
Who this book is for
This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Автор: Kumar Ashish Название: Mastering Pandas ISBN: 1789343232 ISBN-13(EAN): 9781789343236 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
Описание: Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. This book is your guide to getting ...
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