“…Instead of dealing with scale and efficiency, the game here is to draw statistical significant results from very few noisy examples. …”

“…With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. …”

“…With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. …”

“…Her educational background includes a BSc in Computing Science and Statistics from Macquarie University in Sydney, Australia. …”

“…Natalie has a CCIE Security Certification and has a BSc in Computer Science and Statistics from Macquarie University in Sydney, Australia. …”

“…What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. …”

“…You will learn how to apply different mining concepts to various statistical and data applications in a wide range of fields. …”

“…Coverage includes Understanding the DB2 product family, architecture, attachments, and the DB2 z/OS environment Securing enterprise-class DB2 installations and applications Using SQL to create and manage database objects, and manipulate and retrieve information Mastering key DBA tasks, including loading, reorganizing, quiescing, repairing, and recovering data; recovering and rebuilding indexes; and gathering statistics Implementing data sharing in Parallel Sysplex environments Learning the fundamentals of DB2 application development from the DBA's perspective Leveraging advanced DB2 functions, including stored procedures and other object-relational extensions Optimizing DB2 applications and the DB2 engine for maximum performance Whether you are administering DB2 UDB V8 in z/OS environments, planning to do so, or preparing for DB2 UDB V8 DBA certification, DB2 for z/OS Version 8 DBA Certification Guide will be your single most valuable resource…”

“…The data obtained were statistically processed, obtaining descriptive and inferential results that allowed us to conclude that teaching competence has a positive, highly significant relationship. and high with inclusive education because the p value is equal to .000 and Kendall's Tau_ b is .556. …”

“…The processing of the data allowed to reach non-inferential and inferential findings, the test for the confirmation of the assumption was the correlation coefficient of Tau_b de Kendal, reaching the conclusion that the educational strategy "I learn at home" affects effectively and eloquently on the achievement of learning in the area of ​​communication, because its resulting statistical significance is = .028, being less than the level of significance = .05. …”

“…The Active Directory Cookbook will help you: Perform Active Directory tasks from the command line Use scripting technologies to automate Active Directory tasks Manage new Active Directory features, such as Read-Only Domain Controllers, fine-grained password policies, and more Create domains and trusts Locate users whose passwords are about to expire Apply a security filter to group policy objects Check for potential replication problems Restrict hosts from performing LDAP queries View DNS server performance statistics Each recipe includes a discussion explaining how and why the solution works, so you can adapt the problem-solving techniques to similar situations. …”

“…In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. …”

“…Automate routine administration tasks you’ve always performed manually Instantly collect and modify IOS router configurations and other data Write Syslog scripts to document failures, monitor network health, collect statistics, and send alarm messages Implement automated network performance..…”

“…The research is based on a representative sample of 943 criminal files from the cantons of Berne, Fribourg, Lucerne and Vaud, which are evaluated using statistical methods (logistic regression). The results of the investigation show that the responsible authorities select only a few aspects from a large number of case characteristics that largely determine their decision-making process. …”

“…This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You'll begin with concepts such as image filters, Kinect depth sensor, and feature matching. …”

“…What you will learn Get to grips with the fundamentals of data wrangling Understand how to model data with random data generation and data integrity checks Discover how to examine data with descriptive statistics and plotting techniques Explore how to search and retrieve information with regular expressions Delve into commonly-used Python data science libraries Become well-versed with how to handle and compensate for missing data Who this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. …”

“…Coverage includes Setting up your software and hardware for efficient wireless capture Understanding channels, contention detection, thresholds, and 802.11 b/g/n/ac physical layers Recognizing key clues in Layer 2 headers and frame check sequences Decrypting and displaying wireless captures, so it makes sense Customizing filters specifically for Wi-Fi exchanges Using advanced tools to view traffic from a higher vantage point Pinpointing problems by exploring management, control, data frames, and retransmissions Troubleshooting slow, failed, and intermittent connections Gaining deeper insights with statistical analysis and pattern recognition Aout the Instructors James Garringer (Atlanta, GA), CWNE, is an experienced consulting engineer who specializes in Wi-Fi and networking for education, healthcare, and enterprise customers throughout the United States Mr. …”

“…Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary…”

“…Some session of note include: Bayesian Statistics Made Simple Gradient Descent, Demystified Comparing Models Using Resampling and Bayesian Methods Next Generation Indexes For Big Data Engineering Probabilistic Programming with PyMC3 Racial Bias in Facial Recognition Software Visualization throughout the Data Science Workflow: Datafy All The Things Data Science, Management..…”

“…No previous mathematical understanding is required beyond basic algebra, probability, and statistics: wherever more advanced math is required, the authors explain it fully. …”