BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Student-scientist-teacher interactions provide students with several advantages. They provide opportunities to interact with experts and professionals in the field, give students a chance at meeting a role model that may impact students' career choices, and increase awareness of available career options combined with an understanding of how their skills and interests affect their career decisions. Additionally, it enhances attitudes and interest toward STEM professions for students and grants opportunities to connect with scientists as human beings and see them as "real people," replacing stereotypical perceptions of scientists. Moreover, there are many advantages for the teacher or informal educator when these partnerships are established. For these reasons and more, numerous studies are often conducted involving the partnerships of students, scientists, and teachers. Enhancing Learning Opportunities Through Student, Scientist, and Teacher Partnerships organizes a collection of research on student-scientist-teacher partnerships and presents the models, benefits, implementation, and learning outcomes of these interactions. This book presents a variety of different scientist-student-teacher partnerships with research data to support different learning outcomes in settings like schools, after-school programs, museums, science centers, zoos, aquariums, children's museums, space centers, nature centers, and more. This book is ideal for in-service and preservice teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in research on beneficial student-scientist-teacher partnerships/models in formal and informal settings.

The Principles of Psychology Volume 1, complete with William James' original notes, illustrations, tables and charts clarifying the theory described and arguments made. Appearing in 1890, The Principles of Psychology was a landmark text which established psychology as a serious scientific discipline. William James' compiled a convincing, lengthy and broad thesis, devoting detail and vigorous analysis in every chapter. The text's comprehensiveness and superb presentation played a pivotal role in bringing the science of mental health closer toward the scholarly mainstream. The entire book is set out intuitively: there are two volumes, each of which has a certain number of chapters. While some chapters have sub-sections, James is careful not to make his textbook dry or convoluted in organisation. Each chapter introduces, discusses and concludes on a particular subject - whether it be the role of psychology as an academic and medical discipline, or the various functions of the human brain.