12362 Teaching & Training courses delivered Online

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.

Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python 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 Introduction to Python 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.

Our organisations are increasingly diverse and a cultural mix in training brings a fantastic variety of learning styles and sometimes barriers, too. Help managers and trainers understand the impact of different cultures and nationalities in the training room and make simple adjustments to ensure training is effective for all. Who are you training? Culture and its impact on learning Breaking down cultural learning barriers Intercultural communication Cultural competency and its importance in the training room Training techniques for the diverse classroom Effective questioning and concept checking Having a global mindset

Are you passionate about helping children succeed in their educational journey? Do you want to make a significant impact in the classroom and support the development of young minds? Our Learning Support Assistant (LSA) Training Course is designed just for you. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In this course, you will learn the essential roles and responsibilities of a Learning Support Assistant. You will develop crucial skills to effectively support teachers and students in a school environment. You will gain insights into working with children, understanding their diverse needs, and providing tailored support. The course will cover how to assist children with special educational needs, ensuring their inclusion and progress. You will also learn about safeguarding and promoting the wellbeing of children and young people. Managing time and stress efficiently will be a key focus, along with assessing students' progress and dealing with emergencies confidently. Finally, the course will emphasize the importance of continuous professional development, helping you grow and succeed in your role as an LSA. Course Curriculum Module 01: The Roles of a Learning Support Assistant (LSA) Module 02: Skills of a Learning Support Assistant Module 03: Working with Children in a School Module 04: Providing for All Children Module 05: Special Educational Needs (SEN) Module 06: Safeguarding and Wellbeing of Children and Young People Module 07: Time and Stress Management Module 08: Assessing Students Module 09: Dealing with Emergencies Module 10: Professional Development Learning Outcomes: Understand the roles and responsibilities of a Learning Support Assistant. Develop essential skills for effective support in educational settings. Learn to work collaboratively with children in various school environments. Provide inclusive support for all children's diverse needs. Gain knowledge about Special Educational Needs (SEN) strategies. Ensure the safeguarding and wellbeing of children and young people. CPD 10 CPD hours / points Accredited by CPD Quality Standards Learning Support Assistant (LSA) Training 2:10:27 1: Module 01: The Roles of a Learning Support Assistant (LSA) 15:35 2: Module 02: Skills of a Learning Support Assistant 12:24 3: Module 03: Working with Children in a School 10:40 4: Module 04: Providing for All Children 17:14 5: Module 05: Special Educational Needs (SEN) 20:55 6: Module 06: Safeguarding and Wellbeing of Children and Young People 11:47 7: Module 07: Time and Stress Management 10:11 8: Module 08: Assessing Students 06:04 9: Module 09: Dealing with Emergencies 10:55 10: Module 10: Professional Development 13:42 11: CPD Certificate - Free 01:00 Who is this course for? Aspiring Learning Support Assistants in schools. Individuals interested in child education. Those seeking roles in inclusive education. People wanting to support children with SEN. Educators aiming to enhance support strategies. Career path Learning Support Assistant Teaching Assistant SEN Teaching Assistant Classroom Assistant School Support Worker Inclusion Support Assistant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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