50 Inference courses

Overview The Crime Analyst Level 2 - Crime Scene & Criminal Behavior course provides an in-depth understanding of criminology, intelligence, criminal justice, crime science, pattern detection and analysis, thinking approaches, crime mapping, strategic analysis, research, inference policing, and behavioral science. Participants will gain valuable knowledge and skills to analyze crime scenes and understand criminal behavior. Learning Outcomes: Gain a comprehensive understanding of criminology, intelligence, and criminal justice systems, including their roles and interconnections. Develop proficiency in crime science methodologies, pattern detection, and analysis techniques to identify and interpret crime trends and patterns. Apply critical thinking approaches and strategies to analyze crime scenes, assess evidence, and draw conclusions about criminal behavior. Learn crime mapping techniques to visualize and spatially analyze crime data for informed decision-making and resource allocation. Develop skills in strategic analysis to identify crime hotspots, predict future crime trends, and develop targeted crime prevention strategies. Understand the importance of research in crime analysis and utilize data-driven approaches to inform decision-making and develop evidence-based policing strategies. Explore the fundamentals of behavioral science and its applications in understanding criminal behavior and profiling offenders. Why buy this Crime Analyst Level 2 - Crime scene & Criminal Behavior? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Crime Analyst Level 2 - Crime scene & Criminal Behavior you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Crime Analyst Level 2 - Crime scene & Criminal Behavior does not require you to have any prior qualifications or experience. You can just enrol and start learning. Prerequisites This Crime Analyst Level 2 - Crime scene & Criminal Behavior was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Crime Analyst Level 2 - Crime scene & Criminal Behavior is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Criminology, Intelligence and Criminal Justice Module 01: Criminal Intelligence and Crime Intelligence Analysis 00:15:00 Module 02: A Historical Perspective on the Discipline of Analysis 00:15:00 Module 03: The Intelligence Cycle and Process 00:30:00 Module 04: Example of a National Intelligence Model: The United Kingdom 00:15:00 Module 05: Introduction to Criminal Justice 01:00:00 Crime Science, Pattern Detection and Analysis Module 06: Crime Science: Theories, Principles and Intelligent Sources 00:17:00 Module 07: Evaluation of Information 00:15:00 Module 08: Introduction to the Analysis of Patterns, Statistics & Relationships 00:35:00 Thinking approach, Crime Mapping and Strategic Analysis Module 09: A Critical Thinking Approach to Analysis 00:35:00 Module 10: Tactical Analysis with Crime Mapping and the GIS System 00:20:00 Module 11: Strategic Analysis Variations 01:00:00 Module 12: Realizing The Power of Analytics: Arming the Human Mind 01:00:00 Research, Inference Policing and the Behavioral Science Module 13: Research Method and Statistics in Crime Analysis 00:20:00 Module 14: Inference Development and the Presentation of the Results 00:35:00 Module 15: Homeland Security and Counter Terrorism 01:30:00 Module 16: Models of Policing and Security 01:20:00 Module 17: Behavioural Sciences 00:10:00 Module 18: Career in CIA (Crime Intelligence Analyst) 00:15:00

A code-oriented interactive course that will help you build a solid foundation that is essential to excel in all areas of computer science, specifically data science and machine learning. We will apply all concepts through code and focus on the concepts that are more useful for data science, machine learning, and other areas of computer science.

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Duration 4 Days 24 CPD hours This course is intended for This is an introductory-level Java programming course, designed for experienced developers who wish to get up and running with Java, or who need to reinforce sound Java coding practices, immediately. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Learn to use Java exception handling features Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Specific Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String AP Time Permitting: Quick look ahead - Java 12, Java 13, Java 14 and Beyond If you're an experienced OO developer (coming from a C# or C++ background, etc.) who needs to transition to programming in Java, this fast-paced, hands-on course will get you there quickly. Fast Track to Java Programming for OO Experienced Developers is a four-day, lab-intensive class where you'll quickly be immersed in working with the latest Java 11 programming techniques, using best practices for writing solid, robust (and well-written!) modern object-oriented applications. In addition to learning excellent, current coding skills in Java, you'll explore the new improved features for better performance and new capabilities for addressing rapid application development that Java 11 brings to the table. This course includes several key aspects that were introduced in Java 9, Java 10, and Java 11 including the Java Modular System, Local Variable Type Inference, and several API updates. This course also includes a Quick Look at what?s next in Java ? Java 12, Java 13, Java 14 and beyond. The Java Platform Java Platforms Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Setting Up Environment Locating Class Files Compiling Package Classes Source and Class Files Java Applications The Eclipse Paradigm Workbench and Workspace Views Editors Perspectives Projects Writing a Simple Class Classes in Java Class Modifiers and Types Class Instance Variables Primitives vs. Object References Creating Objects Adding Methods to the Class Passing Parameters into Methods Returning a Value from a Method Overloaded Methods Constructors Optimizing Constructor Usage Language Statements Operators Comparison and Logical Operators Looping Continue and Break Statements The switch Statement The for-each() Loop Using Strings Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer, and StringBuilder Specializing in a Subclass Extending a Class Casting The Object Class Default Constructor Implicit Constructor Chaining Fields and Variables Instance vs. Local Variables: Usage Differences Data Types Default Values Block Scoping Rules Final and Static Fields Static Methods Using Arrays Arrays Accessing the Array Multidimensional Arrays Copying Arrays Variable Arguments Local-Variable Type Inference Type inference Infering Types of Local Variables The var Reserved Type name Benefits of Using var Backward Compatibility Java Packages and Visibility Class Location of Packages The Package Keyword Importing Classes Executing Programs Visibility in the Modular System Java Naming Conventions Inheritance and Polymorphism Polymorphism: The Subclasses Upcasting vs. Downcasting Calling Superclass Methods from Subclass The final Keyword Interfaces and Abstract Classes Separating Capability from Implementation Abstract Classes Implementing an Interface Abstract Classes vs. Interfaces Introduction to Exception Handling Exception Architecture Throwing Exceptions Checked vs. Unchecked Exceptions Exceptions Handling Multiple Exceptions Automatic Closure of Resources Creating Your Own Exceptions Utility Classes Wrapper Classes Autoboxing/Unboxing Enumeration Syntax Using Static imports Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls to Generics When Generics Should Be Used Lambda Expressions and Functional Interface Lambda Expression Syntax Functional Interfaces Type Inference in Java 8 Method references Collections Characterizing Collections Collection Interface Hierarchy The Set, List and Queue Interfaces Map Interfaces Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Streams Processing Collections of data The Stream interface Reduction and Parallelism Filtering collection data Sorting Collection data Map collection data Find elements in Stream Numeric Streams Create infinite Streams Sources for using Streams Collectors Creating Collections from a Stream Group elements in the Stream Multi-level grouping of elements Partitioning Streams Introduction to the Module System Introduce Project Jigsaw Classpath and Encapsulation The JDK internal APIs Java 9 Platform modules Defining application modules Define module dependencies Implicit dependencies Implied Readability Exporting packages Java Date/Time The Date and Calendar classes Introduce the new Date/Time API LocalDate, LocalDateTime, etc. Formatting Dates Working with time zones Manipulate date/time values Java 12 and beyond Provide an overview of changes since Java 11 Introduce Preview Features Records (Java 14) Switch Expressions (Java 12, Java 13, Java 14) Text Blocks (Java 13, Java 14) Helpful NullPointerExceptions (Java 14) Pattern Matching for instanceof (Java 14) Additional course details: Nexus Humans Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Summary of course content By attending this course, you will develop the ability to communicate clearly, accurately and effectively when speaking and writing. You will evolve your personal style by broadening your vocabulary while being exposed to various forms of written texts. Enjoy a course that will guide you in delivering a presentation or conversing with international peers. During your Cambridge IGCSE First Language English course, you will need to: develop your ability to communicate clearly, accurately and effectively when speaking and writing learn how to use a wide range of vocabulary and the correct grammar, spelling and punctuation develop your personal style of writing and speaking, as well as your awareness of the audience you are addressing. This course aims to enable young students to: read a wide range of texts fluently and with good understanding, enjoying and appreciating a variety of language read critically, and use the knowledge gained from wide reading to inform and improve their own writing write accurately and effectively, using Standard English appropriately work with information and with ideas in language by developing skills of evaluation, analysis, use and inference listen to, understand, and use spoken language effectively acquire and apply a wide vocabulary alongside a knowledge and understanding of grammatical terminology and linguistic conventions.

Description: Learning is a process and you should do everything in hand to make this process easy, systematic and uninterrupted. When you get ready for a certification exam, you learn much better and more intensively than when you learn something with no purpose. With this Level 2 certificate in C++ programming course, enhance your learning experience even more. Equip yourself with the fundamental knowledge necessary to gain recognition for your programming expertise. If all that sounds appealing to you, you'll definitely want to sign up and join the community of C++ coders. Keep learning and take your career to the next level! Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Level 2 Certificate in C++ Programming is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Level 2 Certificate in C++ Programming is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Mock Exam Mock Exam- Level 2 Certificate in C++ Programming 00:20:00 Final Exam Final Exam- Level 2 Certificate in C++ Programming 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

A 10 week SATs Success course for students in year 6. Tutoring in English and Tutoring in Maths in a small group year 6 tutor session.