7396 Personal Development courses in Reading delivered Online

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Embark on a journey of quality excellence with our comprehensive ISO 9001:2015 course. This in-depth training will equip you with the knowledge and skills to implement, maintain, and continuously improve a quality management system (QMS) within your organization, adhering to the latest ISO standards. Delve into the framework of ISO 9001:2015, gaining a thorough understanding of its principles, requirements, and benefits. Discover how to effectively manage your organization's context, leadership, planning, support, operation, performance evaluation, and improvement processes, ensuring that quality remains at the forefront of every decision. Master the art of internal auditing, learning to identify and address potential nonconformities within your QMS. Through practical exercises and case studies, you'll gain hands-on experience in applying ISO 9001:2015 principles to real-world scenarios. Learning Outcomes Gain a comprehensive understanding of ISO 9001:2015 principles and requirements Learn how to implement, maintain, and continuously improve a QMS in accordance with ISO 9001:2015 standards Master the art of internal auditing to identify and address potential nonconformities Develop skills to effectively manage organizational context, leadership, planning, support, operation, performance evaluation, and improvement processes Enhance your employability and career prospects by demonstrating proficiency in ISO 9001:2015. Why choose this ISO 9001:2015 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this ISO 9001:2015 course for? Quality professionals seeking to advance their careers in quality management Business owners and managers committed to implementing and maintaining a QMS Individuals interested in pursuing a career in quality assurance or auditing Internal auditors seeking to refine their skills and knowledge in ISO 9001:2015 auditing procedures Anyone seeking a comprehensive understanding of ISO 9001:2015 and its application in various industries. Career path Quality Manager (£45,000 - £65,000) Quality Assurance Auditor (£35,000 - £55,000) Quality Assurance Specialist (£30,000 - £50,000) Quality Control Inspector (£25,000 - £45,000) Continuous Improvement Manager (£40,000 - £60,000) Process Quality Control Engineer (£35,000 - £55,000) Prerequisites This ISO 9001:2015 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ISO 9001:2015 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction To ISO 9001:2015 Introduction To ISO 9001:2015 00:25:00 Module 02: Clause 4 - Context Of The Organisation Clause 4 - Context Of The Organisation 00:24:00 Module 03: Clause 5 - Leadership Clause 5 - Leadership 00:25:00 Module 04: Clause 6 - Planning Clause 6 - Planning 00:22:00 Module 05: Clause 7 - Support Clause 7 - Support 00:32:00 Module 06: Clause 8 - Operation Clause 8 - Operation 00:38:00 Module 07: Clause 9 - Performance Evaluation Clause 9 - Performance Evaluation 00:35:00 Module 08: Clause 10 - Improvement Clause 10 - Improvement 00:30:00 Study material: Management System Auditing Study material: Management System Auditing 00:50:00

It is common for unschooled, or Self Directed Learners, to learn to read anywhere between the age of 3 - 16 years old. How can you be sure that your child will learn to read and that unschooling reading works? This webinar will draw attention to the things that children do that are developing the skills and building the foundations that they need for them to learn to read.  This will be done through using real life examples and stories from the unschooling community of real children who have learnt to read in their own time and in their own way.  This webinar is FREE for LPL Monthly Members along with a back catalogue of Unschooling Webinars, 2 live webinars a month, and discounts on coaching and mentoring services. Sign up for just £20 per month. Yes! I want to join the LPL Monthly Membership

Unschooling PDA children

Unschooling PDA children

Reporting to the LA when your child is in burnout

You have deregistered your child and you know that unschooling is for you. But, what should you do first? Where do you start? And is it possible to reignite playful times in your child who has had less and less time to actually play since they began going to school? There are lots of things that you can do to move towards unschooling. This webinar concentrates on 5 steps to unschooling that will reconnect your child with their playful selves and provide a solid foundation for future learning.  This webinar is FREE for LPL Monthly Members along with a back catalogue of Unschooling Webinars, 2 live webinars a month, and discounts on coaching and mentoring services. Sign up for just £20 per month. Yes! I want to join the LPL Monthly Membership

Reporting to the LA when your child is in burnout

what does it cost to unschool?

Learning how your child learns best is a webinar that will: Outline how you can support your child as they figure out how it is that they best learn. How you can grow their confidence in themselves and the choices that they make. Leave you with ideas of how learning looks when your child doesn't want to use a curriculum.