“…Mais ce que propose l’auteur, le produit de son travail, est lui-même un entre-deux de la science et de la littérature. Il y a quelque chose de littéraire en essence, quelque chose de romanesque, dans une approche, très savante néanmoins, et rigoureusement scientifique, du passé, servie par l’éclat d’une belle écriture. …”

“…Il suffit de le dire ainsi pour que tout lecteur porté vers les sciences humaines ou de la nature se sente lui aussi impliqué : il ne sera pas déçu…”

“…Cette étude menée à bien, l'auteur peut amorcer la recherche proprement ethnologique et s'appuie dès lors sur les pratiques, la science et la littérature orale des sociétés amazoniennes contemporaines ou historiques pour décrire le pôle zoo - ethnologique de la relation des hommes aux cervidés. …”

“…De nos écosystèmes à nos modes de consommation, des risques naturels aux nouvelles technologies ou aux pollutions, des usines du futur au traitement des déchets, Le développement durable à découvert informe, explique, partage tout ce que la science actuelle est capable d’apporter au défi majeur du xxie siècle : comment mieux comprendre la complexité des enjeux qui nous concernent tous et assurer le développement de l’humanité sans détruire son biotope. …”

“…Tandis que subsistent des perspectives de mutation et de changement pour les droits sociaux des artistes, l’évolution de la politique de l’État à travers les lieux dédiés à l’enseignement artistique, de nouveaux terrains de recherche pour les sciences humaines et sociales apparaissent car les médias émergents produisent une nouvelle façon d’appréhender les connaissances et la construction du savoir. …”

“…L’étude des liens personnels, des réseaux et des solidarités, dans un contexte marqué par l’influence des sciences sociales, permet peut-être d’ouvrir l’horizon sur d’autres perspectives, et de reconstituer, entre ces deux espaces, des échanges que la documentation ne laisse pas toujours directement appréhender. …”

“…- From the Foreword by Kirk Borne Ph.D., Chief Science Officer, DataPrime.ai The clearest and easiest book for learning deep learning principles and techniques I have ever read. …”

“…This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry. …”

“…A basic understanding of data science and machine learning is necessary to grasp the concepts presented in this book…”

“…Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. …”

“…By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.What you will learnExplore AutoML fundamentals, underlying methods, and techniquesAssess AutoML aspects such as algorithm selection, auto featurization, and hyperparameter tuning in an applied scenarioFind out the difference between cloud and operations support systems (OSS)Implement AutoML in enterprise cloud to deploy ML models and pipelinesBuild explainable AutoML pipelines with transparencyUnderstand automated feature engineering and time series forecastingAutomate data science modeling tasks to implement ML solutions easily and focus on more complex problemsWho this book is forCitizen data scientists, machine learning developers, artificial intelligence enthusiasts, or anyone looking to automatically build machine learning models using the features offered by open source tools, Microsoft Azure Machine Learning, AWS, and Google Cloud Platform will find this book useful. …”

“…This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. …”

“…Ross Professor and Chair, Department of Management Science, Fisher College of Business, The Ohio State University"This book has long been my ‘go-to’ guide on Lean management practices that help create a culture of continuous improvement and excellence. …”

“…He has been a speaker at many conferences, and holds a PhD in Computer Science. The single best source of information for graph-based machine learning. …”

“…Finally, you'll work through examples to help you solve typical business problems.By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.What You Will Learn:Find out what an effective ML engineering process looks likeUncover options for automating training and deployment and learn how to use themDiscover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutionsUnderstand what aspects of software engineering you can bring to machine learningGain insights into adapting software engineering for machine learning using appropriate cloud technologiesPerform hyperparameter tuning in a relatively automated wayWho this book is for:This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. …”

“…Jeffery weaves in his experience of building the Unicon programming language to give better context to the concepts where relevant examples are provided in both Unicon and Java so that you can follow the code of your choice of either a very high-level language with advanced features, or a mainstream language.By the end of this book, you'll be able to build and deploy your own domain-specific languages, capable of compiling and running programs.What you will learn* Perform requirements analysis for the new language and design language syntax and semantics* Write lexical and context-free grammar rules for common expressions and control structures* Develop a scanner that reads source code and generate a parser that checks syntax* Build key data structures in a compiler and use your compiler to build a syntax-coloring code editor* Implement a bytecode interpreter and run bytecode generated by your compiler* Write tree traversals that insert information into the syntax tree* Implement garbage collection in your languageWho this book is forThis book is for software developers interested in the idea of inventing their own language or developing a domain-specific language. Computer science students taking compiler construction courses will also find this book highly useful as a practical guide to language implementation to supplement more theoretical textbooks. …”

“…The authors represent various disciplines: health and social management, social work, social psychology and other social sciences and law. The book is aimed at managers and professionals, experts, decision makers, researchers and teachers in the field of health and social care. …”

“…Destiné aux chercheurs et chercheuses, formateurs et formatrices, aux responsables éducatifs, aux conseillers et conseillères pédagogiques, aux directeurs et directrices d’établissement, aux enseignants et enseignantes mais également aux spécialistes en sciences de l’éducation et dans toutes disciplines, cet ouvrage propose un regard théorique ainsi que des pistes de mise en oeuvre des pratiques interdisciplinaires en éducation et formation…”

“…He cautiously stepped into the realm of data, beginning with a simple Google search for "what does a data scientist do" He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. …”

“…Par exemple, il faudrait adapter les stratégies et le matériel pédagogique pour davantage inciter les garçons à lire et les filles à choisir les mathématiques et les sciences ; il faudrait encourager un plus grand nombre de jeunes filles à suivre des études dans les domaines scientifiques, de l’ingénierie et des mathématiques, au niveau des études supérieures, et à rechercher un emploi dans ces domaines ; • des modes de garde d’enfant de qualité et d’un coût abordable sont un facteur clé pour faire progresser l’égalité entre hommes et femmes en matière d’emploi. …”