“…Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. …”

“…Audience The book has a wide audience comprising specialists in artificial intelligence, information technology, software engineers, data and cyber security scientists, as well as those in the applied areas such as business, finance, industry and manufacturing. …”

“…Keyser argues that the transformation in poetry, music, and painting (the so-called sister arts) is the result of the abandonment of a natural aesthetic based on a set of rules shared between artist and audience, and that this is virtually the same cognitive shift that occurred when scientists abandoned the mechanical philosophy of the Galilean revolution. …”

“…We hope that the information presented here will help to establish the state of the art of this field and will convey how exciting and important studying seeds is and hopefully will stimulate a new crop of scientists devoted to investigating the biology of seeds…”

“…Work step-by-step on three simple but compelling D3 visualization examples Use Coffeescript as a stepping-stone to ease your way into Javascript Reduce D3’s notoriously heavy learning curve by learning the basics Walk away with rudimentary understanding of CoffeeScript and D3 that you can apply to other projects immediately Use CoffeeScript to abstract away some of the more difficult aspects of Javascript Nikhil Gopal has worked as a programmer, analyst, and scientist at major biotechnology companies such as Affymetrix and Illumina. …”

“…Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applications Design and develop production-grade computer vision projects for real-world industry problems Interpret computer vision models and solve business problems Who This Book Is For Data scientists and machine learning engineers interested in building computer vision projects and solving business problems…”

“…ISPA2004 provided a forum for scientists and engineers in academia and ind- try to exchange and discuss their experiences, new ideas, research results, and applications about all aspects of parallel and distributed computing. …”

“…Edited and contributed to by well-known researchers, scientists and experts from academia and industry, Grafted Biopolymers as Corrosion Inhibitors includes information on: Basics of corrosion, economic adverse effects and its mitigation, and past and present developments and future directions of corrosion inhibition Corrosion inhibitor classification and selection criteria, chemical, electrochemical, and surface characterization, and computational techniques for corrosion monitoring Sustainable grafted biopolymers, covering synthesis and characterizations, properties and applications, and factors affecting biopolymers grafting Grafted natural exudates gums, pectin, chitosan, starch, cellulose, alginates, dextrin, and biopolymer composites and nanocomposites as sustainable corrosion inhibitors Delivering the recent advancements in sustainable grafted biopolymer for the anticorrosive applications arena, Grafted Biopolymers as Corrosion Inhibitors is an essential resource for scholars in academia and industry, working corrosion engineers, and materials science, engineering, and chemistry students…”

“…Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations. …”

“…Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library. …”

“…Irvine demonstrates how the social scientists who told the stories of these marginalized groups offered an early challenge to then-dominant narratives of scientific racism and then offers a social history of certain American outsiders and a prehistory of the academic fields of ethnic studies and sexuality studies. …”

“…Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. …”

“…Amidst this 'perfect storm' is the allure of 'research excellence', a concept that drives decisions made by universities and funders, and defines scientists' research strategies and career trajectories. …”

“…Drawing on her extensive experience with the creators of KML, Wernecke teaches techniques that can be used by everyone from programmers to real estate agents, scientists, students, architects, virtual explorers, and more. …”

“…This Special Issue of Foods, “Progress on Nutrient Composition, Meat Standardization, Grading, Processing, and Safety for Different Types of Meat Sources”, comprising fourteen peer-reviewed papers, is now being released as a book that will serve as an invaluable reference in addressing the current dearth of knowledge regarding the aforementioned topics, and is also envisaged to serve in updating food scientists and stakeholders of the meat value chain globally…”

“…But Peopled Landscapes also signifies the disciplinary entanglement that is archaeological and biogeographic research in this region, with archaeologists and environmental scientists contributing to both studies of human land use and palaeoecology. …”

“…By bringing historians and social scientists into dialogue within the same volume, it argues that a revised reading of the past can offer powerful new perspectives on the present, in ways that might also indicate new paths for the future. …”

“…IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. …”

“…You will: Discover the three teams that you will need to be successful with big data Understand what a data scientist is and what a data science team does Understand what a data engineer is and what a data engineering team does Understand what an operations engineer is and what an operations team does Know how the teams and titles differ and why you need all three teams Recognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projects…”

“…Learn to construct and customize losses functions for regression, classification, and multi-task problems Discover how to combine various metrics and use them to measure model performance Understand how to automate training and evaluation routines Learn how to train and evaluate a convolutional neural network model See how you can improve model performance by using fine-tuning on pre-trained models Gain experience using transfer learning for new predictive tasks Marvin Bertin is a data scientist with Driver, a San Francisco based biotech startup. …”