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Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
dvanced Course This MS Project Advanced course is an intensive, hands-on, one-day training course, concentrating on complex calendars, complex costs, multiple baselines, multiple projects and other advanced MS Project features. This is a one day course, one a one-to-one basis, attending to individual questions and issues. Group bookings could be requested
Overview This comprehensive course on ASP.Net MVC and Entity Framework will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This ASP.Net MVC and Entity Framework 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. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this ASP.Net MVC and Entity Framework. It is available to all students, of all academic backgrounds. Requirements Our ASP.Net MVC and Entity Framework is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 22 lectures • 06:17:00 total length •Module 01: Install Visual Studio Community Edition: 00:02:00 •Module 02: Create ASP.Net MVC Project: 00:04:00 •Module 03: Setup Database: 00:06:00 •Module 04: Add Entity Framework Data Model: 00:06:00 •Module 05: Tour of Folder Structure and How to Add Views: 00:23:00 •Module 06: Scaffolding: Adding Controller and Views: 00:35:00 •Module 07: Managing Database Changes: 00:14:00 •Module 08: Customizing a View - Bootstrap: 00:20:00 •Module 09: Customizing a View - Additional Data: 00:09:00 •Module 10: Add Data Validations to Forms: 00:31:00 •Module 01: Understanding Authentication Functionality: 00:05:00 •Module 02: Adding User Data Points: 00:30:00 •Module 03: Control User Access: 00:07:00 •Module 04: Adding Roles and Authorizations: 00:37:00 •Module 01: Add Project to GitHub: 00:12:00 •Module 02: Understanding Package Management: 00:08:00 •Module 01: Add Lecturer and Enrollment Management Modules: 00:14:00 •Module 02: Install JQueryUI Javascript Libraries: 00:12:00 •Module 03: Implement JQueryUI Autocomplete: 00:35:00 •Module 04: Create an JQuery/Ajax Form: 00:34:00 •Module 05: Partial View and Data Refresh: 00:33:00 •Resources - ASP.Net MVC and Entity Framework: 00:00:00
Overview This comprehensive course on Building Your Own Computer will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building Your Own Computer comes with accredited certification, 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. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Building Your Own Computer. It is available to all students, of all academic backgrounds. Requirements Our Building Your Own Computer is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 03:06:00 total length •Module 01: Introduction to Computer & Building PC: 00:17:00 •Module 02: Overview of Hardware and Parts: 00:27:00 •Module 03: Building the Computer: 00:25:00 •Module 04: Input and Output Devices: 00:22:00 •Module 05: Software Installation: 00:35:00 •Module 06: Computer Networking: 00:21:00 •Module 07: Building a Gaming PC: 00:19:00 •Module 08: Maintenance of Computers: 00:20:00 •Assignment - Building Your Own Computer: 00:00:00
Overview This comprehensive course on Introduction to Microsoft Ads Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Introduction to Microsoft Ads Training 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. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Introduction to Microsoft Ads Training. It is available to all students, of all academic backgrounds. Requirements Our Introduction to Microsoft Ads Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 14 lectures • 01:08:00 total length •Lesson 1 - Microsoft Ads Training: 00:02:00 •Lesson 2 - Microsoft Ads Training: 00:02:00 •Lesson 3 - Microsoft Ads Training: 00:01:00 •Lesson 4-5 - Microsoft Ads Training: 00:02:00 •Lesson 6-10 - Microsoft Ads Training: 00:07:00 •Lesson 11-15 - Microsoft Ads Training: 00:11:00 •Lesson 16-20 - Microsoft Ads Training: 00:06:00 •Lesson 21-25 - Microsoft Ads Training: 00:07:00 •Lesson 26-30 - Microsoft Ads Training: 00:06:00 •Lesson 31-35 - Microsoft Ads Training: 00:06:00 •Lesson 36-40 - Microsoft Ads Training: 00:06:00 •Lesson 41-45 - Microsoft Ads Training: 00:06:00 •Lesson 46-50 - Microsoft Ads Training: 00:06:00 •Resource - Introduction to Microsoft Ads Training: 00:00:00
Overview This comprehensive course on SAP S4HANA Controlling Level 2 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SAP S4HANA Controlling Level 2 comes with accredited certification, 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. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SAP S4HANA Controlling Level 2. It is available to all students, of all academic backgrounds. Requirements Our SAP S4HANA Controlling Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 18 lectures • 03:27:00 total length •Introduction to the course: 00:02:00 •Introduction to the Chapter: 00:05:00 •What is SAP Controlling Module All About: 00:21:00 •What is Cost Center Accounting: 00:06:00 •Recap of what we've learnt: 00:01:00 •Basic Configurations in SAP Controlling: 00:37:00 •Real-time Business Scenario and Master Data Creation in SAP CO: 00:25:00 •Introduction to Document Splitting: 00:05:00 •Postings to Cost Center Accounting: 00:10:00 •Plan vs Actual reports in SAP Cost Center Accounting: 00:02:00 •Manual Transfer of Costs KB11N: 00:07:00 •Plan vs Actual postings in Cost Center Accounting: 00:07:00 •Manual Transfer of Costs kb61: 00:09:00 •SAP Allocation Using Distribution Cycles: 00:16:00 •SAP Allocation Using Assessment Cycles with Statistical Key Figures (SKFs): 00:20:00 •Statistical / Cryptic Document Numbers in SAP S4HANA Controlling: 00:05:00 •Real vs Statistical Postings in SAP S4HANA Controlling: 00:11:00 •SAP ASAP vs Activate Methodologies: 00:18:00
Overview This comprehensive course on Workshop Technology: Machine Shop Theory will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Workshop Technology: Machine Shop Theory 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. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Workshop Technology: Machine Shop Theory. It is available to all students, of all academic backgrounds. Requirements Our Workshop Technology: Machine Shop Theory is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 41 lectures • 02:20:00 total length •Scope of the Course: 00:10:00 •Metal Cutting Processes: 00:02:00 •Cutting Tools: 00:03:00 •Nomenclature of Single Point Cutting Tool: 00:04:00 •Tool Signature: 00:02:00 •Mechanics of Metal Cutting: 00:04:00 •Types of Chips: 00:03:00 •Coolant or Cutting Fluids: 00:03:00 •Types of Lathe Machine: 00:09:00 •Construction of A Lathe: 00:09:00 •Accessories and Attachments: 00:07:00 •Specification of Lathe: 00:02:00 •Lathe Operations: 00:02:00 •Taper and Taper Turning: 00:04:00 •Thread Cutting: 00:03:00 •Cutting Speed and Feed: 00:02:00 •Construction of A Drilling Machine: 00:04:00 •Types of Drilling Machine: 00:09:00 •Types of Drills: 00:03:00 •Twist Drill Geometry: 00:04:00 •Drilling Operations: 00:05:00 •Size of Drilling Machine: 00:01:00 •Cutting Speed and Feed: 00:02:00 •Working Principle: 00:03:00 •Types of Shaper: 00:01:00 •Parts of Shaper: 00:05:00 •Shaper Mechanism: 00:04:00 •Shaper Operations: 00:01:00 •Types of Planer: 00:01:00 •Working Principle: 00:02:00 •Difference Between Shaper and Planer: 00:02:00 •Principle Parts of Slotter: 00:03:00 •Slotter Operations: 00:02:00 •Working Principle: 00:02:00 •Milling Methods: 00:03:00 •Types of Milling Cutters: 00:01:00 •Types of Milling Machines: 00:07:00 •Size of Milling Machine: 00:01:00 •Indexing and Dividing Head: 00:02:00 •Milling Operations: 00:03:00 •Assignment - Workshop Technology: Machine Shop Theory: 00:00:00
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