12536 Courses

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 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.This skills-focused ccombines 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. 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 Applied AI: 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 Applied AI: 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.

Duration 1 Days 6 CPD hours Additional course details: Nexus Humans Orientation - Consumer Students 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 Orientation - Consumer Students 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.

Join us for a round table discussion with Ginger Gregory, CHRO. Age Diversity and Inclusivity: From Early Career and beyond, How do we best grow our talent? As part of the UKI Wellbeing day we’re inviting everyone to participate in one of a series of roundtable focus groups hosted by HR and Ginger Gregory, our CHRO. These sessions are current organisational challenges designed to foster open dialogue, enhance collaboration, and gather your valuable insights. This is an opportunity to connect, share experiences, and contribute meaningfully to our organisation.

This course provides the theory, practical knowledge and skills required for use of microscopes and fibre counting to WHO rules, air sampling and four-stage clearance procedures. The course is based around 'HSG248 Asbestos: The Analysts Guide for Sampling, Analysis and Clearance Procedures'.

The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting

This course provides the necessary knowledge, understanding and skills to persons who will knowingly disturb asbestos containing materials during the course of their work activities, including building maintenance workers and supervisory personnel, and building maintenance managers.

This course will explore ways to support and enhance the quality of care provided to the individual approaching end of life, their families and their carers.

Our purpose is to ensure that people of all ages, especially young people aged 12-35, are able to acquire the social and emotional benefits of creative music-making and multimedia activities. We work especially with those suffering from loneliness and isolation; communities disproportionately affected by the health crisis; and schoolchildren who are suffering from social isolation that sadly prevents them from achieving their potential.

Do you participate in English-language meetings? Do you got to prepare an agenda in English? And is English your second language? This course is specifically for non-native English speakers needing skills in planning and participating in meetings.

Mental Health First Aid (MHFAider) is an internationally recognised training course that teaches people how to spot the signs and symptoms of mental ill health and provide help on a first aid basis. We don't teach people to be therapists, but we do teach people how to respond in a crisis, and how to reach out before a crisis happens. The training gives people tools to support themselves and each other, so everyone can talk about mental health and seek help when needed. As an MHFAider you will be able to: Recognise those that may be experiencing poor mental health and provide them with first-level support and early intervention Encourage a person to identify and access sources of professional help and other support Practise active listening and empathy Have a conversation with improved mental health literacy around language and stigma Discuss the role in depth, including boundaries and confidentiality Practise self-care This course is ideal for those who would like to become an MHFAider to: Gain the knowledge and skills to spot signs of people experiencing poor mental health Be confident starting a conversation and signpost a person to appropriate support Alongside the best evidence-based Mental Health First Aid (MHFA) training, MHFAiders are also provided with three-year access to ongoing learning and support through the MHFAider Support App 1 Introduction to MHFAider (3 hours 30 mins) MHFA and the MHFAider role Introduction to the MHFAider Action Plan 'ALGEE' What is Mental Health? Helpful and unhelpful language Undersign our Frame of Reference, understanding how we make sense of the world Understanding stress & the Stress Container 2 Understanding Mental Health (4 hours) What influences mental health? The Mental Health Continuum What is anxiety? What is a traumatic event? Active listening and empathy What are eating disorders? What is self-harm? What is substance misuse? MHFA conversation practice 3 MHFAider in practice (4 hours) Applying ALGEE What is depression? What is suicide? What is psychosis? MHFA conversation practice 4 Next steps (3 hours) Recovery and lived experience Applying ALGEE Boundaries in the MHFAider role MHFA conversation practice Moving forward in the MHFAider role and your MHFA action plan Self-care