44 Inference courses in Bradford delivered Online

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.

This Level 2 Certificate in C++ Programming will be of great interest to those who wish to further their knowledge of advanced C++ programming concepts and techniques. With this Level 2 Certificate in C++ Programming you will learn about some of the advanced but key features of C++ programing such as creating and using references, and polymorphism and inheritance which are two very important parts of any Object orientated program.  Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? Level 2 Certificate in C++ Programming is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Course Content Module 01 Introduction 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 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: Pearson Edexcel Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access: 1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Maths Course, you will be able to: Become fluent in your understanding, skills, and knowledge of mathematical concepts and techniques Know how to use mathematical reasoning, inference and deduction, and conclusion-making Possess the capacity to comprehend, interpret, and communicate mathematical knowledge in a variety of context- and content-appropriate ways Know how to apply the skills you acquired from this course in a real-life context Learn how to apply mathematical techniques to address diverse issues GCSE Maths Course - Foundation Tier GCSE Maths Online This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual, making it a nationally recognised credential that will improve your CV and set you apart from the competition. This comprehensive course will equip you with the knowledge and qualifications you need to demonstrate your grasp of fundamental math theories like algebra, ratio, geometry, probability, statistics, etc. Towards the end of this course, you will gain extensive mathematical skills and expertise to pass the official exam and address potential issues around you. Who is this Course for? The following individuals may benefit from this GCSE Maths Course: University applicants Students who require a grade within grades 1-5 Anyone who finds the higher tier difficult Anyone interested to build a career in STEM Anyone planning to take maths in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their mathematical foundations Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Maths Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Maths Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Maths Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score. Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are three paper-based tests in the Pearson Edexcel GCSE Maths Foundation Tier. Assessment Format of Paper 1 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: No calculator is allowed Assessment Format of Paper 2 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total warks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed Assessment Format of Paper 3 Concepts covered: Number, algebra, ratio, proportion and rates of change, geometry and measures, probability and statistics Exam time: 1 Hour 30 minutes written exam Total marks: 80 Total weight: 33.33% of GCSE Question format: Written examination papers with a range of different question types Other information: Calculator is allowed This GCSE Maths Course is accredited by Pearson Edexcel and regulated by Ofqual. What is Pearson Edexcel? The academic and general qualification Pearson Edexcel is created to advance and improve learners' skills while advancing knowledge. With the aid of Edexcel certifications, students can advance either into a higher education programme or right into the workforce. They are based on the excellence and traditions of the British educational system and have been made current and simple for both UK and international students to access.  Benefits of Pearson Edexcel They lead the way in digital teaching, learning and assessments This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Initial Assessment Initial Assessment 01:00:00 Algebra FT Algebra FT 01:00:00 Assessment - Algebra FT 02:14:00 Geometry FT Geometry FT 01:00:00 Assessment - Geometry FT 01:08:00 Number FT Number FT 02:00:00 Assessment - Number FT 02:24:00 Probability FT Probability FT 01:00:00 Assessment - Probability FT 00:50:00 Statistics FT Statistics FT 01:00:00 Assessment - Statistics FT 00:42:00 Feedback Feedback 00:00:00

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Statistical Analysis Course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00