“…<h3>Chronicles more than two decades of growth and changes in earthworm composting technology</h3>Based on the work of an outstanding international cast of scientists, the book explores the dramatic growth and changes in vermiculture technology since 1988 and assesses advances made in government-funded projects in the United States and United Kingdom. …”
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“…"From the First Edition:Agreement among at least two evaluators is an issue of prime importance to statisticians, clinicians, epidemiologists, psychologists, and many other scientists. Measuring interobserver agreement is a method used to evaluate inconsistencies in findings from different evaluators who collect the same or similar information. …”
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“…For a new generation of young scientists and engineers entering the wastewater treatment profession, the quantity, complexity and diversity of these new developments can be overwhelming, particularly in developing countries where access is not readily available to advanced level tertiary education courses in wastewater treatment. …”

“…This also enabled him to develop a new telephone for the British market in the midst of his herculean efforts on electric lighting.In the face of daunting technical challenges and skepticism from leading scientists and engineers, Edison and his team of experimenters and machinists found the solution to the decades-old problem of creating a practical incandescent lamp. …”

“…Practitioner lawyers and legal scientists pay a lot of attention to providing insight into developments and patterns in the judiciary. …”

“…The persistence of a very ancient culinary code is demonstrated whereas great diversification and considerable evolution in the nature of the products used are observed. Scientists, students and also decision makers and development stakeholders will find the book a source of récent, rigorous information in a multidisciplinary framework that raises fresh...…”

“…Rapid further advances are expected which will require close interdisciplinary interaction of plant biologists with chemists, physicists, mathematicians and computer scientists. High-throughput approaches will become increasingly important, to fill genomic data with 'life' on the scale of cell physiology. …”

“…While legal scholars, economists, and political scientists have raised parts of these issues before, by addressing the topic from both theoretical and empirical levels, this book provides useful perspective to anyone interested in the relationship between governance institutions and firm performance. …”

“…He has contributed to a wide range of projects related to marine biology, oceanography, ecology, fisheries, etc. and has extensive experience teaching statistics to ecologists and environmental scientists in the form of academic and non-academic courses. …”

“…Explains implications of cooperation for democracy and interpersonal relations such as love. Social scientists, co-op members, policy makers, social philosophers, mediators, community builders, social reformers, and all those concerned with a viable solution to contemporary crises will find Cooperation, Community, and Co-ops In A Global Era stimulating and informative…”

“…Schmidt is a distinguished political scientist. …”

“…It is ideal for graduate engineers and scientists interested in numerical modelling of wave energy converters, and decision-makers who must review different modelling techniques and assess their suitability and output. …”

“…What you will learn Build probabilistic models using the Python library PyMC3 Analyze probabilistic models with the help of ArviZ Acquire the skills required to sanity check models and modify them if necessary Understand the advantages and caveats of hierarchical models Find out how different models can be used to answer different data analysis questions Compare models and choose between alternative ones Discover how different models are unified from a probabilistic perspective Think probabilistically and benefit from the flexibility of the Bayesian framework Who this book is for If you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. …”

“…What you will learn Set up the deep learning environment using the PyTorch library Learn to build a deep learning model for image classification Use a convolutional neural network for transfer learning Understand to use PyTorch for natural language processing Use a recurrent neural network to classify text Understand how to optimize PyTorch in multiprocessor and distributed environments Train, optimize, and deploy your neural networks for maximum accuracy and performance Learn to deploy production-ready models Who this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. …”

“…The book is also a valuable resource for undergraduate research courses, independent study projects, and senior/graduate theses, as well as a useful resource for computer scientists, physicists, biologists, and electrical engineers. …”

“…By the end of this book, you will have a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning What you will learn Install and configure Keras in TensorFlow Master neural network programming using the Keras library Understand the different Keras layers Use Keras to implement simple feed-forward neural networks, CNNs and RNNs Work with various datasets and models used for image and text classification Develop text summarization and reinforcement learning models using Keras Who this book is for Keras Deep Learning Cookbook is for you if you are a data scientist or machine learning expert who wants to find practical solutions to common problems encountered while training deep learning models. …”

“…What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization." -- Publisher's description…”

“…Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learn Use machine learning algorithms with complex datasets to implement cybersecurity concepts Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes Use TensorFlow in the cybersecurity domain and implement real-world examples Learn how machine learning and Python can be used in complex cyber issues Who this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. …”

“…Individuals who want to become a better Power BI developer, a data analyst, and those who want to follow this career path will also get benefitted from this course. Data scientists who want to use Power BI and business users who work with Power BI and need to create DAX calculations will gain a lot as well. …”

“…What you will learn Get to grips with Spark fundamentals and the Databricks platform Process big data using the Spark DataFrame API with Delta Lake Analyze data using graph processing in Databricks Use MLflow to manage machine learning life cycles in Databricks Find out how to choose the right cluster configuration for your workloads Explore file compaction and clustering methods to tune Delta tables Discover advanced optimization techniques to speed up Spark jobs Who this book is for This book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. …”