272 Evaluation courses delivered Live Online

This 2 hour digital training session is CPD accredited. It utilises lived experience and a filmed version of our acclaimed theatre production MOCKINGBIRD HIGH - a compelling and lyrical account of the devastating impact of domestic abuse on two teenage children and their mother. Plus interactive activities, group discussion to explore the relevance to your work practice and a support pdf.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

The ability to influence others is a life skill but also one that has never been so critically useful at work. This one day workshop will set you on the road to discover what you need to be able to think and do that will help you take people with you. This involves learning some new tools and strategies that fit the situation you are in and making sure you use the right skills and behaviours to influence well, whether it is a single person or a room full of cynical expectant people! This workshop will enable you to: Learn about and understand influencing styles and strategies available and formulate plans and ideas on how to use them in influencing situations Understand which skills and behaviours to use to be the most effective influencer Have greater confidence in situations where they need to influence someone Use thinking, speaking and behavioural techniques that enable influencing to be effective and positive Review and evaluate learning and have an action plan to take back and implement in the workplace 1 Welcome, introductions & getting to know you and why you are here Course objectives 2 Personal objectives Introducing a learning diary 3 Gallery exercise - using images of exemplars brought by participants Plenary discussion The skills and behaviours of an exemplar influencer 4 Group task - what does your self-evaluation say? Discussion and conclusions 5 Influencing - what is it? - why do we need it? The current organisational landscape including values and behaviours the influencer operates in 6 Pit Stop - 'pull / push', 'the lost horse' and 'talking at' 7 Direct / support / delegate / coach: the different choices and approaches to choose from 8 Updating the learning diary 9 Power and types of power - its impact on influencing ability and approach and what is within your control Group task and discussion 10 The 5 influencing styles tool Series of tasks and exercises Drilling down to a personal action plan for maximising influence 11 'The person with the most flexibility has the most influence' Skills and behaviours for effective influencing Exercises and techniques that develop skills for influencing 12 Review and evaluation Action planning

Duration 4.125 Days 24.75 CPD hours This course is intended for The job roles best suited to the material in this course are: Individuals responsible for maintaining and improving the workplace safety, Occupational health and safety officers, consultants, and advisors, Professionals wishing to acquaint themselves with PECB's IMS2 Methodology for implementing an OH&S MS, Individuals responsible for maintaining the conformity of OH&S MS to ISO 45001 requirements, Members of OH&S teams, Individuals aspiring to pursue a career as OH&S MS implementers, consultants, or officers Overview Explain the fundamental concepts and principles of an occupational health and safety management system (OH&S MS) based on ISO 45001 Interpret the ISO 45001 requirements for an OH&S MS from the perspective of an implementer Initiate and plan the implementation of an OH&S MS based on ISO 45001, by utilizing PECB's IMS2 Methodology and other best practices Support an organization in operating, maintaining, and continually improving an OH&S MS based on ISO 45001 Prepare an organization to undergo a third-party certification audit This course is designed to equip you with the competence to establish, implement, manage, and maintain an occupational health and safety management system (OH&S MS) in accordance with ISO 45001:2018 requirements and guidance. This training course aims to provide an in-depth understanding of ISO 45001 requirements, as well as the best practices and approaches used for the implementation and subsequent maintenance of an OH&S MS. The ultimate ambition of this training course is to enable you to create the conditions for a safer workplace. Introduction to ISO 45001 and initiation of an OH&S MS implementation Training course objectives and structure Standards and regulatory frameworks Fundamental concepts and principles of OH&S Initiation of the OH&S MS implementation The organization and its context Implementation plan of an OH&S MS Leadership and worker participation OH&S MS scope OH&S policy and objectives Hazard identification and assessment of risks and opportunities Implementation of an OH&S MS Resource management Awareness and communication Documented information management Operations management Emergency preparedness and response OH&S MS performance evaluation, continual improvement, and preparation for the certification audit Monitoring, measurement, analysis, and evaluation Internal audit Management review Treatment of nonconformities and incidents Continual improvement Preparation for the certification audit Closing of the training course

MJ Electrical Training offers a one-day online course for a Health & Safety Exemption, which can be used when applying for an ECS Labourers card. ECS (Electrotechnical Certification Scheme) is a card scheme for electrotechnical operatives in the UK. The ECS Labourer card is designed for those working in a supporting role within the electrotechnical industry.

MJ Electrical Training offers a one-day online course for a Health & Safety Exemption, which can be used when applying for an ECS Labourers card. ECS (Electrotechnical Certification Scheme) is a card scheme for electrotechnical operatives in the UK. The ECS Labourer card is designed for those working in a supporting role within the electrotechnical industry.

It is important for Officers to understand the roles and responsibilities, processes and procedures involved when working with Elected Members. They also need to appreciate the significance of Elected Members as the decision-makers in local government. Officers have a responsibility to work and communicate with Elected Members effectively. This very successful course is designed to help Officers with this. Note: this is very much an indicative outline. The programme is tailored to the needs of each particular organisation. To provide managers with the knowledge and understanding they need to have productive working relationships with Elected Members and provide appropriate support. By the end of the course participants will: Understand the roles, responsibilities, processes and procedures in place for working with Elected Members Be able to identify the best way to approach potentially sensitive issues Understand the skills and behaviours required for working effectively with Members Be able to deploy their influencing skills more successfully Review their learning and have an action plan to take back and implement at work Note: this is very much an indicative outline. The programme is tailored to the needs of each particular organisation. 1 Introduction Welcome and introductions Objectives and programme overview 2 Working in a political environment What is political awareness? Contact and experience with Members Importance of the role of Members 3 Why be an Elected Member? Perceptions of what Elected Members are and do Values of Members and their motivations for doing what they do 4 Political decision-making in local government Current challenges and drivers affecting the organisation / the council Roles and responsibilities of Officers and Members Centrality of Members' strategic role 5 (Option) A day in the life of an Elected Member An Elected Member gives a talk about what they do 6 Having a beneficial relationship between Officers and Members 7 Member / Officer communication Discussion of the formal processes, service procedures, etc (whether enshrined in a protocol, Memorandum of Understanding, etc) Response times and requirements Procedures required by Heads of Service [if appropriate] 8 Influencing styles and strategies Different forms of power and how they impact Developing an appropriate 'influencing style' Exploring strategies for improving communication and influencing at work 9 Review and evaluation Review and evaluation of learning Personal action plans

This very practical one-day programme provides participants with the skills and knowledge required to be an effective member of the procurement team and to enable them to procure a wide range of resources for the organisation, in a compliant and cost-effective manner. It also empowers them to be able to collaborate with all key stakeholders. By the end of the programme participants will be able to: Understand the basic concepts of good procurement practice Apply a range of tools and techniques for developing scopes of work and specifications Apply various methods to select and evaluate suppliers Develop robust contract award strategies Appreciate the commercial importance of effective procurement and opportunities to reduce cost and add value Develop appropriate procurement strategies depending on risk and value Appreciate the legal aspects of procurement 1 Welcome Introductions Aims and objectives Plan for the day 2 The basics of procurement The concept of total cost of ownership v price The procurement cycle The roles of the customer and the contractor Impact upon profit 3 Specification process Importance of effective specifications Specification development process Types of specification Team approach Use of performance specifications Early supplier involvement (ESI) / early contractor involvement (ECI) 4 Quality Concepts and practices Defining 'fit for purpose' Conformance to requirements Compliance to standards Role of the supplier Quality assurance tools and techniques 5 Procurement methods RFP RFQ ITT Negotiated procurement Strategic partnerships Outsourcing 6 Tendering How to undertake a formal tendering process Business case to award Critical stages in the process Risks and benefits 7 Tender evaluation How to undertake a quotation analysis Tools of analysis Use of VFM models Role of the customer Comparisons around cost, quality, and delivery 8 Supplier selection and evaluation Developing critical selection criteria Using the 10Cs model Importance of effective selection process Weighting systems Importance of validity and evidence 9 Capital equipment procurement Life cycle cost issues Payback calculations Compatibility issues Maintenance and training issues After-sales support 10 Supplier relationships Corporate social responsibility issues Communication 360 feed-back Open and ethical Initial understanding Clear and fair terms and conditions 11 Close Review of key learning points Personal action planning

Excelling in GCSE Religious Studies! At GLA Tutors, we are dedicated to helping students succeed in their GCSE Religious Studies examinations. Our experienced tutors are passionate about the subject and committed to providing comprehensive support aligned with the AQA examination board's specification. Let's explore the breakdown of the AQA GCSE Religious Studies specification: Paper 1: The Study of Religions: Beliefs and Teachings This paper focuses on the study of two religions, such as Christianity and Islam. Our tutors will guide students through the fundamental beliefs, teachings, and practices of these religions. We delve into topics like the nature of God, religious texts, worship, and the impact of religion on individuals and society. Through engaging discussions and thought-provoking exercises, we help students develop a deep understanding of religious beliefs. Paper 2: Thematic Studies This paper explores ethical and philosophical issues, as well as the influence of religion in the modern world. Our tutors will delve into topics like crime and punishment, human rights, life and death, and religion and society. We provide in-depth analysis, case studies, and perspectives from different religious traditions to enable students to critically examine these issues. We also emphasise the development of strong argumentation and evaluation skills. Paper 3: Study of Religion: Textual Studies In this paper, students will explore religious texts and their significance. Our tutors will guide students through the study of sacred texts, such as the Bible or the Qur'an. We help students analyse and interpret these texts, understand their historical and cultural context, and explore their relevance in contemporary society. We provide comprehensive guidance on textual analysis and the application of religious teachings to real-life situations. At GLA Tutors, we foster a supportive and inclusive learning environment, where students can explore and deepen their understanding of religious studies. Our tutors provide personalised one-on-one sessions, group discussions, and access to a range of learning resources to cater to each student's unique needs. Beyond the specification, we encourage critical thinking, empathy, and open-mindedness, enabling students to engage with complex ethical and philosophical questions. We also focus on developing strong exam techniques, essay writing skills, and effective revision strategies to maximize exam success. Join us at GLA Tutors and embark on a transformative journey in GCSE Religious Studies. Our tutors are here to guide you towards academic excellence, a deep appreciation for religious diversity, and the ability to apply religious teachings to real-world contexts. Feel free to explore our website for more information or reach out to us with any questions you may have. Let's embark on this enriching educational adventure together! We can provide assistance for everything you need to prepare students for exams, including: past papers, mark schemes and examiners’ reports specimen papers and mark schemes for new courses exemplar student answers with examiner commentaries high quality revision guides

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.