Managing Successful Machine Learning Projects Machine learning projects are a different beast. You have to secure access to the required data, often from multiple siloed sources. You have to switch back and forth between research mode and execution mode. You have to delicately guide data exploration towards a well-defined machine learning objective. You have to align this machine learning objective with your business objectives. You have to ensure that any sensitive data is adequately protected. How do you tame this beast and lead your project to successful completion? In this presentation, Dr. Neeraj Kashyap will share some practical tips for succeeding at machine learning, gained from his years at Google and in healthcare. We will discuss the life cycles of healthy machine learning projects and unhealthy ones so that you can identify impending disasters and avert them before they get out of hand. Throughout the session, we will emphasize data privacy, because no amount of intelligence is worth compromising your users for.
This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.
Writing modern web applications with a rich UI can be tedious. Blazor gives us .NET developers the chance to leverage our C# skills and build interactive web UIs. In this course, you will gain the ability to build web applications using Blazor. We will explore setting up your first Blazor application; how to work with an API; how data binding works; how to create components and integrate JavaScript components.
This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.
Do you want to create stunning low-poly trees for your mobile games? Do you want to learn how to use Maya and Unity 3D to model, UV map, texture, and import your assets? If yes, then this Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games course is for you! In this course, you will learn how to create a low-poly tree from scratch using Maya, a powerful 3D modeling software. You will learn how to use basic shapes, modifiers, and tools to create the base, branches, leaves, and grass of your tree. You will also learn how to UV map your tree and export it to Substance Painter, a professional texturing software. There, you will learn how to apply materials, paint details, and bake maps for your tree. Finally, you will learn how to import your tree into Unity 3D, a popular game engine, and set up the lighting and materials for your scene. Learning Outcomes Use Maya to create low-poly models for mobile games Use Substance Painter to texture your models with realistic details Use Unity 3D to import and set up your models for your game scene Understand the principles of low-poly modeling and texturing Create your own low-poly trees and other assets for your mobile games Why choose this Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games 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 Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games course for? Beginners who want to learn the basics of 3D modeling and texturing Intermediate users who want to improve their skills and learn new techniques Game developers who want to create their own assets for their mobile games Hobbyists who want to have fun and express their creativity Anyone who loves low-poly art and games Career path Mobile Game Developer: £25,000 - £50,000 per year. 3D Artist: £20,000 - £40,000 per year. 3D Animator: £22,000 - £45,000 per year. 3D Generalist: £23,000 - £50,000 per year. 3D Environment Artist: £24,000 - £48,000 per year. 3D Character Artist: £25,000 - £55,000 per year. Prerequisites This Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games 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 Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games Section 01: Introduction 00:02:00 Section 02: Modeling the Base 00:06:00 Section 03: Modeling the Branches 00:08:00 Section 04: Finishing the Branches 00:12:00 Section 05: Creating the Leaf Cubes 00:05:00 Section 06: Placing the Leaf Cubes 00:08:00 Section 07: Modifying the Trunk Shape 00:06:00 Section 08: Create Small Grass 00:03:00 Section 09: UV Mapping the Tree 00:16:00 Section 10: Texturing the Tree in Substance Painter 00:26:00 Section 11: Import the Tree in Unity 00:09:00 Assignment Assignment - Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games 00:00:00
The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.
This course provides complete coverage of C# programming fundamentals and how to create an executable windows form project. You will be digging into the structures of Windows Forms to gain a detailed understanding and then sharpen your skills with the help of a variety of projects.
Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python