“…To do this, you will leverage built-in CMDlets and Windows Management Instrumentation (WMI) to explore Windows services, Windows processes, Windows features, scheduled tasks, and disk statistics. You will also create custom functions to perform a deep search for specific strings in files and evaluate installed software through executable properties. …”

“…Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. …”

“…Char Sample, Research Scientist, CERT This talk examines what our value systems say about how we behave in cyberspace, and discusses the statistical relationship found between culture and cyber behaviors. …”

“…What You Will Learn Get to grips with the Tableau workspace and terminologies and understand what data sources you can connect Learn to create basic charts like bar chart, stacked bar, pie chart, line chart, area chart, tree map & word cloud Go even further with more advanced visualizations such as scatter plot, box & whiskers plot, dual axis, bullet chart, Histograms, Maps, etc Use pre-defined calculation and change its scope and direction to affect outcome Learn to define Parameters and call them into parametric calculations that provide outcomes based on user inputs Build Dashboards and use Actions to link multiple sheets on the dashboard Connect to multiple data sources using Data Blending, Multiple Table Join within the same data source as well as across data sources, Custom SQL and learn to work with data Extracts Compute statistical trends, build forecasting models and use Reference lines for benchmarking In Detail Data is everywhere and everything is data! …”

“…The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. …”

“…By the end of this learning path, you will see how data works using simple statistics and analytics, and you'll discover its high and dynamic performance - its real strength, which makes it particularly useful in highly intensive computing tasks. …”

“…Who This Book Is For This book is meant for developers with a statistical background who want to work with neural networks. …”

“…Topics include Design and Implement a Relational Database Schema Design and Implement Indexes Design and Implement Views Implement Columnstore Indexes Ensure Data Integrity with Constraints Create Stored Procedures Create Triggers and User-Defined Functions Implement Transactions Manage Isolation Levels Optimize Concurrency and Locking Behavior Implement Memory-Optimized Tables and Native Stored Procedures Optimize Statistics and Indexes Analyze and Troubleshoot Query Plans Manage Performance for Database Instances Monitor and Trace SQL Server Baseline Performance Metrics About the Instructor Marilyn White has more than 20 years of experience in Information Technology and has worked with Microsoft Server products as a Microsoft Certified Trainer (MCT) for more than 18 years, spending most of that time specializing in SQL Server and SharePoint products. …”

“…Skill Level Intermediate Learn How To Represent text Model topics Conduct sentiment analysis Understand word2vec word embeddings Define GloVe Apply language detection Who Should Take This Course Data scientists with an interest in natural language processing Course Requirements Basic algebra Calculus and statistics Programming experience Lesson Descriptions Lesson 1: Text Representations The first step in any NLP application is to establish the representations of text and numbers. …”

“…Prior experience of Python programming and experience with statistics and logistic regression will help you get the mo..…”

“…A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book." -- Publisher's description…”

“…Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. …”

“…What you will learn Use and manipulate complex and simple data structures Harness the full potential of DataFrames and numpy.array at run time Perform web scraping with BeautifulSoup4 and html5lib Execute advanced string search and manipulation with RegEX Handle outliers and perform data imputation with Pandas Use descriptive statistics and plotting techniques Practice data wrangling and modeling using data generation techniques Who this book is for Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. …”

“…What You Will Learn Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec Apply neural networks to perform handwritten digit recognition using MXNet Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification Implement credit card fraud detection with Autoencoders Master reconstructing images using variational autoencoders Wade through sentiment analysis from movie reviews Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction In Detail R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. …”

“…Later, you'll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you'll delve into advanced topics such as how the formula and storage engines work to optimize queries. …”

“…Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary." -- Publisher's description…”

“…As you practice, you'll gain a deeper understanding of the value of marketing analytics, learn to integrate quantitative analysis with managerial sensibilities, master core statistical tools, and discover how to avoid crucial pitfalls. …”

“…The second part of the book introduces the reader into the necessary routine and workflow he or she should follow as a professional stock photographer. Keywording and statistics, though often underestimated, are essential parts of a stock photographer’s job, so Robert Kneschke deals with them extensively and thoroughly. …”

“…Alongside his work teaching, writing, and developing large-scale analytics with a focus on statistical machine learning, he is finishing his PhD at the University of Maryland where he studies machine learning and artificial intelligence. …”

“…Descriptive + Inquisitive + Predictive + Prescriptive Solve problems in IoT connected assets and connected operations Design and solve real-life IoT business use cases using cutting edge machine learning techniques Synthesize and assimilate results to form the perfect story for a business Master the art of problem solving when IoT meets decision science using a variety of statistical and machine learning techniques along with hands on tasks in R In Detail With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. …”