17811 AI courses

Practical Sales Skills 1 Day Workshop in Glasgow

Practical Sales Skills 1 Day Workshop in Colchester

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.

Presentation Skills 1 Day Workshop in Guildford

The LAA operates a strict compliance regime when it comes to auditing crime lower bills, and mistakes can often result in a Contract Notice, corrective action, and further follow-up activity within 6 months. This course will take you through the various aspects of crime lower billing, with discussions on topics such as what is and is not claimable; how you apply series of offences guidance; what evidence is required to claim a trial fee when a matter is discontinued; how do the LAA audit travel and other disbursement claims (including the rules when instructing an agent); and what evidence must be present on files to avoid any issues on audit. Key aspects of the Crime Contract, Criminal Bills Assessment Manual and Codes Guidance will be included, along with a discussion of common errors that are made; and how to claim non-standard and escape fee matters. Target Audience This online course is aimed at anyone involved in billing Legal Aid Police Station and Magistrates Court matters or managing an LAA Crime Contract. Resources Course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Steve Keeling, Consultant, DG Legal Steve joined DG Legal after leaving the Legal Aid Agency in August 2016. In his 17 years at the LAA, he worked in the audit team as both auditor and manager and was a Contract Manager for several years. Steve is also a certified SQM auditor and undertakes audits on behalf of Recognising Excellence as well as running training sessions for the SQM Audit Team periodically.

About Course Master the fundamental building block of the web and learn to create beautiful and functional websites with HTML5. In this comprehensive course, you will learn: The basics of HTML syntax, including elements, attributes, and tags. How to structure your web pages using HTML5 semantic elements. How to add images, videos, and other multimedia content to your websites. How to create interactive web pages using forms and buttons. How to style your websites using CSS. This course is perfect for beginners with no prior experience in HTML. However, if you have some programming experience, you will be able to learn the material more quickly. You will learn from an experienced web developer who will teach you the concepts and skills you need to succeed. By the end of this course, you will be able to: Create and structure web pages using HTML5. Add multimedia content and interactive elements to your websites. Style your websites using CSS. Build a portfolio of real-world websites Throughout the course, you will work on a variety of hands-on projects to build your skills and create a portfolio of real-world websites. Join a supportive community of learners You will have access to a dedicated student forum where you can ask questions and get help from the instructor and other students. Enroll today and start your journey to becoming a web developer! Bonus: Get access to the instructor's personal collection of HTML5 resources. Why learn HTML5? HTML5 is the latest version of HTML, and it is the most widely used markup language in the world. It is used to create the structure and content of web pages. HTML5 is a powerful tool that can be used to create a variety of websites, from simple static pages to complex dynamic applications. Here are some of the benefits of learning HTML5: HTML5 is easy to learn, even for beginners. HTML5 is a versatile language that can be used to create a variety of websites. HTML5 is in high demand, and there are many job opportunities for HTML5 developers. HTML5 is a valuable skill to have, even if you are not planning to become a web developer. So what are you waiting for? Enroll in this course today and start your journey to becoming a web developer! What Will You Learn? Become a modern and confident HTML developer, no prior knowledge needed! Learn to quickly apply CHatGPT AI skills for your website development Design and build a stunning real-world project for your portfolio from scratch A web design framework with easy-to-use rules and guidelines to design eye-catching websites How to make websites work on every possible mobile device (responsive design) You will learn quickly prompt engineering skills to make real-world websites Learn to Publish your website on production servers using FTP app Course Content Getting Started Introduction to Getting Started Course Curriculum How to Get Pre - Requisites Getting Started on Windows, Linux or Mac How to Ask Great Questions FAQ's HTML Setting Up Local Environment Introduction to HTML Choosing Code Editor Installing Code Editor (Sublime Text) Overview of a Webpage Structure of a Full HTML Webpage First Hello World Webpage Summary HTML Basic Introduction Heading Tags Paragraph Formatting Text List Items Unordered List Items Ordered Classes IDs Comments Summary HTML Intermediate Introduction Images Forms Form Actions Br Tag Marquee Text Area Tables Links Navbar - Menu HTML Entities Div Tag Google Maps Summary HTML Advanced Introduction HTML5 Audio HTML5 Video Progress Bar Drag and Drop Canvas Iframes Input Types Input Attributes YouTube Video Linking Creating Responsive Page Summary HTML Expert Introduction Registration Form Login Form About Us Form Contact Us Form Footer Form Integrate All Together Coding Exercise Solution for Coding Exercise Summary Publish Your Website Live Introduction Installing Free FTP Solution (FileZilla) Setting Up FTP (File Transfer Protocol) Publish Website to Hosting Server Summary HTML Website Project Introduction Challenge - HTML 5 Clock Face with Numbers Project Overview Conclusion on Project Summary A course by Sekhar Metla IT Industry Expert RequirementsNo coding or design experience necessary for this courseAny computer works - Windows, Linux or macOSYou don't need to buy any software - we will use the best free code editor in the world

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

Public Speaking 1 Day Training in Gloucester

Public Speaking 1 Day Training in Corby

10 Soft Skills You Need 1 Day Training in Corby