671 Education courses in Stalybridge delivered Live Online

GCSE & IGCSE one-to-one tuition

This 1 hour talk provides information about the content of the NEW PECS L2 workshop. The new PECS Level 2 workshop offers delegates the opportunity to analyse the application of PECS in new real-life examples, while answering questions about their own implementation. Come along to the overview to hear in more detail what the PECS L2 can offer you, how it can improve your implementation skills and confidence. Please note that this is an overview only and is not intended as, nor does it replace the PECS Level 2 training workshop. WORKSHOP DETAILS Agenda: 1 hour Registration Time: N/A Tuition Includes: N/A

SoSAFE! is a visual teaching programme which enables learners to develop their abilities in managing; and communicating about their relationships. This 1 hour SoSAFE! overview provides basic information about the SoSAFE! framework and tool kit. We begin with a brief overview of the SoSAFE! programme features. Next, we will show you how the three SoSAFE! tools are used to teach and visually support learners about social safety. Please note that this is an overview only and is not intended to function as training nor does it replace the SoSAFE! 1-day online live workshop. WORKSHOP DETAILS Agenda: 1 hour Registration Time: N/A Tuition Includes: N/A

Evidence suggests great virtual training can can be dramatically more effective than face-to-face. In fact, the Neuroleadership Institute’s research suggests that a smart virtual learning programme is around 6 times more likely to get people to take actions than an in-person course! Harness that power by building your staff’s skills in these key areas: Understanding the role of training and development Learning theories and styles The thinking environment – active vs passive Methodologies and techniques – why do we do what we do? Setting great aims and objectives Lesson planning and effective timing Activities that give your virtual courses the edge

Supporting teams with Neurodiveristy

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

Online Quran Teacher From Pakistan Male & Female, learn the Quran from the comfort of home? Our Online Quran Teacher from Pakistan program is here to guide you with dedication and expertise!

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We will learn about the patterns in nature through looking at different leaf shapes and using these to create monoprints.

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.