Pre-Algebra Made Easy: The Complete Beginner's Guide

Welcome! I'm here to help you prepare and PASS the Servicenow Certified Implementation Specialist ITSM Exam (CIS-ITSM).This course contains 2 timed practice tests for the Servicenow Certified Implementation Specialist ITSM certification.This is Mock Exam .This Practice Tests Course Is For Anyone Who Is Preparing For The Servicenow CIS ITSM and Want To Evaluate Their Knowledge, Identify Their Weakness and Clear The Exam From The First Attempt.All the questions are absolutely aligned with real exam.Questions from all the topics as per the Servicenow CIS-ITSM Exam Blueprint are covered in this practice test.I have prepared these practice test after lot of research so that people can get maximum benefit from it , I hope you like this.(Updated as per Paris Version)

This course aims to give newbies and first-time users an introductory yet detailed overview of Stata's core features and capabilities and provide its students with plenty of hands-on experience on the best practices for writing reproducible routines (using do-files), organizing data analysis projects, understanding command syntax, inputting and outputting data and managing datasets in Stata.No matter if you are an undergraduate student who has just started using Stata, a graduate student who needs to have solid knowledge of the software's fundamental tools and capabilities or an experienced researcher who wants to use Stata to analyze your data, this course will take you by the hand and provide you with practical exercises (and answers) to lay a solid foundation and help you become a proficient user of Stata.* This course has subtitles in English and Portuguese.

Are you an Arabic-speaking student or professional looking to master Probability and Statistics in a simple, practical way? This course, “Probability Statistics Made Simple (For Arabic Students)”, is designed to help you build a strong foundation without being overwhelmed by complex jargon.What you’ll learn:Descriptive Statistics: Mean, Mode, Median, Skewness, Range, Standard Deviation, VarianceProbability Basics: Events, Sample Space, Probability FormulasProbability Distributions: Uniform, Binomial, Poisson, Normal, Exponential, Joint DistributionHypothesis Testing: Confidence Intervals, Z, T, Chi, and F tablesRegression Experiments: Simple Linear Regression, Single Factor Experiment ANOVAPractical Skills: Data analysis, charts, graphs, problem-solving, and applying concepts to real-world examplesWhy take this course?Step-by-step lessons with clear explanationsMany practice exercises with easy-to-follow solutionsLearn at your own pace and gain confidence applying statistical methodsFree course tour available – preview key lessons and practical examplesالسلام عليكم ورحمة الله وبركاتهمعاكم محمد يونس، وهكون معاكم في هذا الكورس بعنوان:Probability Statistics Made Simple (For Arabic Students)بالكورس كمية مسائل كثيرة مع الشرح والحل بالتفصيل عشان تساعدكم على فهم كل الدروسالتواصل والدعم:إذا عندكم أي استفسار، تقدروا تتواصلوا معايا من خلال الأسئلة والتعليقات أسفل كل فيديو:تقدروا تشوفوا عينة من الشرح قبل الاشتراك عشان تتأكدوا أن الكورس مناسب لكم.بالتوفيق لكم جميعا وأتمنى لكم رحلة ممتعة بكورس الإحتمالات والاحصاء المبسط

Artificial intelligence is a large field that includes many techniques to make machines think, which means endowing this machine with intelligence, unlike, as we all know, the habitual intelligence exhibited by humans and animals. Therefore, in this course, we investigate the mimicking of human intelligence on machines by introducing a modern algorithm of artificial intelligence named the convolutional neural network, which is a technique of deep learning for computers to make the machine learn and become an expert. In this course, we present an overview of deep learning in which, we introduce the notion and classification of convolutional neural networks. We also give the definition and the advantages of CNNs. In this course, we provide the tricks to elaborate your own architecture of CNN and the hardware and software to design a CNN model. In the end, we present the limitations and future challenges of CNN.The essential points tackled in this course are illustrated as follows:- What is deep learning?- Why are computational intelligence algorithms used?- Biomimetics inspiration of CNN from the brain- Classification of deep learning (CNN)- The kinds of deep learning algorithms- Definition of convolutional neural networks- Advantages of Convolutional Neural Network- The pupose of CNN- Architecture of CNN- Training and optimization of CNN parameters- Hardware material used for CNN- Software used for deep learning- Famous CNN architecture- Application of CNN- Limitation of CNN- Future and challenges of convolutional neural networks- Conclusions

This course offers a comprehensive introduction to linear control systems for beginners by focusing particularly on their application in industrial systems for controlling linear processes. At first, we start with an overview of control systems, introducing key definitions and concepts. The section covers the Laplace transformation of differential equations and their properties. After, we explore the concept of transfer functions in control systems, including open and closed loop systems. The course continues with an examination of the time-domain and frequency-domain responses of linear systems. To provide a solid understanding of the objectives of linear control, we cover stability and precision in detail. Finally, we conclude with a discussion of how controllers can be applied to improve system performance. By the end of the course, students will have a broad understanding of control systems, from physical modeling and differential equations to transfer functions. The course also offers insight into temporal and frequency analysis methods and explores techniques for enhancing the performance of systems in both open and closed loops, culminating in controller synthesis.The following list outlines the key topics covered in by this course:- Definition of system- Definition of linear system- The nature of the input and output signals- Definition of command system- The difference between regulation and control- Laplace transformation- Laplace transformation properties- Famous Laplace transformation- Example of Laplace's transformation- Steps to get the transfer function- Characteristic equation of first order system- Characteristic equation of second order system- Example of the RC circuit- Example of a mechanical system- Definition of the functional diagram- Useful formalism- A global view of the control scheme- The Open-loop system FTBO- The Closed-loop system FTBF-

This course includes 200+ practice exam questions including mortgage specific math. All questions have solution explanations so that you understand each and every concept.If you want to become a mortgage loan originator you must pass the SAFE Mortgage Loan Originator exam. This course focuses on teaching you to master the most common math questions you will see in the SAFE Mortgage Loan Originator exam. Finding a math specific course is very difficult and most of them are very expensive.What should be your #1 goal when taking the SAFE Mortgage Loan Originator Test? PASS ON YOUR FIRST TRY OR YOUR MONEY BACK!This course is composed of simulated practice exams and key test questions that will appear in one form or another in your test. The actual SAFE Mortgage Loan Originator Test is a National test composed of 125 test questions of which only 115 are scored. The test allows for a total of 190 minutes in which you have to complete all test questions. For this reason you have to be prepared to answer quickly and accurately.This course includes:- 3 math practice tests containing 50 questions and include the math calculation for each one. - 1 math practice test that contains 55 questions and include the math calculation for each one.This course will teach you through simulated practice test questions to:- Diferentiate question types and how to answer them- Improve your math skills by practicing mortgage math questions- Practice hundreds to test questions on your smart phone, tablet, or computer- Learn abbreviations and important mortgage acronyms- Answer questions quickly and accurately by having a time limitThis course is a comprehens