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Course Overview: This comprehensive course on Quality Tools and Problem Solving Methods will deepen your understanding on this topic.After successful completion of this course, you can acquire the required skills in this sector. This Quality Tools and Problem Solving Methods comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.So enrol in this course today to fast-track your career ladder. Key Features of the Course: CPD certificate upon completion 24/7 learning assistance for continuous support Engaging and interactive learning materials A comprehensive curriculum covering various aspects of Quality Tools and Problem Solving Methods Learn at your own pace, anywhere and anytime Who is This Course For? This Quality Tools and Problem-Solving Methods course is designed for anyone interested in quality management, interested problem solvers, engineers, and anybody looking to expand their knowledge of quality assurance procedures. Whether you're new to quality control or have some experience, this course will provide you with the knowledge and skills you need to succeed in your sector. What You Will Learn: This Quality Tools and Problem Solving Methods course covers: the key principles of quality management and problem solving techniques. Techniques for effective data collection and analysis using check sheets. Brainstorming methods for innovative idea generation. Creation and interpretation of cause & effect diagrams for problem identification. Application of Pareto diagrams and histograms in data analysis. Process improvement and analysis using flowcharts and control charts. Implementing problem-solving methodologies like the A3 process and 8D. Why Enrol in This Course: Enrolling in Basic Automotive Engineering: Onboard Diagnostics will provide you with several benefits. Firstly, it is a top-reviewed course that has recently been updated to align with the latest advancements in automotive technology. By staying up-to-date, you'll gain a competitive edge in the job market and increase your chances of securing exciting career opportunities. Requirements: To enrol in the Quality Tools and Problem Solving Methods course, you typically need: Basic knowledge of quality management concepts. Interest in learning advanced problem-solving techniques. Educational or professional background in business or engineering (recommended but not mandatory). Basic computer and internet skills are needed for accessing course materials. Proficiency in the course language, usually English. Completion of any specific registration or application process set by the course provider. Career Path: Upon completing Quality Tools and Problem Solving Methods , you can explore various exciting career paths. Here are five course-related professions, along with their average UK salaries: Quality Manager (£40,000-£80,000 per year) Process Improvement Analyst (£30,000-£60,000 per year) Manufacturing Engineer (£35,000-£70,000 per year) Continuous Improvement Specialist (£35,000-£65,000 per year) Quality Assurance Engineer (£30,000-£55,000 per year) Certification: Upon completing the Quality Tools and Problem Solving Methods course, you'll receive a CPD certificate widely recognised in various industries. This certificate will elevate your professional standing and open up new career prospects. Enrol today to excel in problem-solving and quality management, joining a global community of learners on this transformative journey. Course Curriculum 21 sections • 44 lectures • 03:14:00 total length •About the instructor: 00:01:00 •Summary of the course: 00:01:00 •Checksheet-1: 00:01:00 •CCIN practice final v2: 00:06:00 •The brainstroming: 00:01:00 •Brainstorming ip: 00:06:00 •The cause and effect diagram: 00:01:00 •CE in practice: 00:08:00 •Tool The Histogram-1: 00:01:00 •The histogram in practice: 00:10:00 •Pareto diagram: 00:01:00 •Pareto in practice final: 00:09:00 •Control Chart-1: 00:01:00 •Control chart in practice part 1: 00:11:00 •Control chart in practice part 2: 00:10:00 •Scatter Plot-1: 00:01:00 •Scatterplot In practice: 00:07:00 •Flowchart in practice: 00:10:00 •Flowchart-1: 00:01:00 •Psp Overview: 00:01:00 •The PSP: 00:04:00 •The PSP in detail: 00:08:00 •The A3: 00:01:00 •A3 sheet: 00:04:00 •The A3 in practice: 00:15:00 •The 8D: 00:01:00 •The 8D in practice: 00:12:00 •The 8D sheet final: 00:04:00 •The PDCA: 00:01:00 •5 Why: 00:01:00 •Six Sigma: 00:01:00 •More about six sigma: 00:05:00 •Shainin system: 00:06:00 •Shainin Method: 00:01:00 •Overview of the section: 00:01:00 •The Preventive Tools: 00:01:00 •The Fmea: 00:01:00 •The FMEA in practice: 00:12:00 •The FMEA process: 00:14:00 •Control plan in practice: 00:07:00 •The Control Plan: 00:01:00 •Final Conclusion: 00:01:00 •QMS: 00:04:00 •Resources - Quality Tools and Problem Solving Methods: 00:00:00
Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning! Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy. Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques. Career Path Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) 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. Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00
3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support
Implement OTA programming, FreeRTOS and deep sleep in the ESP32
Duration 4 Days 24 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks
Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.
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