Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Machine Learning with TensorFlow
Summary Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine. About the Book Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Yo...
Haskell Data Analysis Cookbook
Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
Data, Engineering and Applications
The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.
Additive Manufacturing
The text explores the development, use, and effect of additive manufacturing and digital manufacturing technologies for diverse applications. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, and materials science. This book: Discusses the application of 3D virtual models to lasers, electron beams, and computer-controlled additive manufacturing machines Covers applications of additive manufacturing in diverse areas including healthcare, electronics engineering, and production engineering Explains the use of additive manufacturing for biocomposites and functionally graded materials Highlig...
Comprehensive Inorganic Chemistry II
Comprehensive Inorganic Chemistry II, Nine Volume Set reviews and examines topics of relevance to today’s inorganic chemists. Covering more interdisciplinary and high impact areas, Comprehensive Inorganic Chemistry II includes biological inorganic chemistry, solid state chemistry, materials chemistry, and nanoscience. The work is designed to follow on, with a different viewpoint and format, from our 1973 work, Comprehensive Inorganic Chemistry, edited by Bailar, Emeléus, Nyholm, and Trotman-Dickenson, which has received over 2,000 citations. The new work will also complement other recent Elsevier works in this area, Comprehensive Coordination Chemistry and Comprehensive Organometallic Che...
Thoughtful Machine Learning with Python
Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms
Environmental Management in India: Waste to Wealth
This book presents unique connectivity between waste management within the agenda 2030 of India. This book is the first publication presenting up-to-date work and knowledge about waste management and waste technologies to transfer waste to wealth in India. Besides, this book also presents the role of waste management and its contribution to achieving a sustainable development program in India, with vast implication worldwide. The main focuses of the book include waste and wealth and the associated technologies, recycling of solid waste, utilization of hazardous waste, use of nanoparticle in waste management, urban solid waste, generation of energy from organic waste, clean technologies, and use of waste in agriculture. The book is a unique source of information on the transformation of waste to wealth in India. This book is of interest to research communities in the field of waste management in India, and in similar socioeconomic countries, but also, due to the planetary implications, has global interest.
Crop Growth Simulation Modelling And Climate Change
This book on “Crop Growth Simulation Modelling and Climate Change”. A group of authors have dealt with different aspects of crop modelling viz., Crop growth simulation models in agricultural crop production, Applications of Crop Growth Simulation Models in Climate Change Assessments, Biophysical impacts and priorities for adaptation of agricultural crops in a changing climate, Climate change projections – India’s Perspective, Impact of Rising Atmospheric CO2 concentration on Plant and Soil processes, Modelling the impact of climate change on soil erosion in stabilization and destabilization of soil organic carbon, Simulating Crop Yield, Soil Processes, Greenhouse Gas Emission and Cli...
Composites
This book emphasizes the importance of modeling in the initial design phase of a composite component. It covers a wide range of modeling techniques and multiphysics simulation using finite elements. It further provides practical examples and details studies that demonstrate the application of modeling techniques to real-world application of composite structures. This book: Discusses manufacturing of different types of composite components using different techniques, and static and dynamic analyses of composites using FE modeling. Covers the machining performance of carbon nanotubes-reinforced nanocomposites and multiscale modeling techniques in composites. Presents a detailed study on cerami...
