Beyond Bullet Points, Fourth Edition "e;Throw away those room-emptying, left-brain slides-and use Atkinson's book to turn your PowerPoint presentation into an epic.
Beyond Bullet Points, Fourth Edition "e;Throw away those room-emptying, left-brain slides-and use Atkinson's book to turn your PowerPoint presentation into an epic.
Prepare for Microsoft Exam 70-346, and demonstrate your real-world mastery of the skills needed to provision, manage, monitor, and troubleshoot Microsoft Office 365 identities and cloud services.
Bitcoin is een revolutionaire digitale valuta die de manier waarop we over geld denken verandert, maar de complexiteit ervan kan ontmoedigend zijn voor de gemiddelde gebruiker.
Written from the perspective of a Technical Project Manager, this study presents a scenario for a complete "e;shift left"e; software development effort.
Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries.
While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI.
The first characteristic of this book is the skipping of difficult theories, starting directly with typical examples, and the working out of the answers clearly by computer software.
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables.
This book, bringing together selected papers from the 5th International Conference on Research in Management and Technovation, explores the global impact of technology, corporate management, and innovation.
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.
R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud.
This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS).
Book 2:How to find Inter-Groups DifferencesUsing SPSS/Excel/Web ToolsIn Common Experimental DesignsBook 3:Analysis of Experimental DataUsing Excel as if using SPSSA Break ThroughEnglish VersionBook 4:?
Book 1:How to find Inter-Groups DifferencesUsing SPSS/Excel/Web ToolsIn Common Experimental DesignsBook 3:Analysis of Experimental DataUsing Excel as if using SPSSA Break ThroughEnglish VersionBook 4:?
While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language.
While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language.
Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source.
Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source.
