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 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 36 lectures (7h 46m) | Size: 1.5 GB Learn Greek FAST with this non-stop Greek speaking course for BEGINNERS: learning Greek will be easy and fun!  MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 34 lectures (4h 21m) | Size: 2 GB Learn to program Robots using the famous Robot Operating System (ROS) framework in C++  Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz Language: English | VTT | Size: 305 MB | Duration: 40m  Created by Manoj Kumar Sharma | Last updated 1/2021 Duration: 1.5 hours | 9 sections | 17 lectures | Video: 1280x720, 44 KHz | 961 MB Genre: eLearning | Language: English + Sub  Duration: 1h 37m | Video: .MP4, 1280x720, 24 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.35 GB Genre: eLearning | Language: English Learn practical tips and tricks for the entire process for motion tracking with Cinema 4D and After Effects. Get familiar with how to shoot, track, and composite. Learn how to use Redshift and C4D's Physical Renderer with R20's motion tracker to composite 3D renders onto your video footage. Cinema 4D R20's Motion tracker makes it easy to track footage and let you add whatever you want into your video. We'll cover common problems and troubleshooting tactics for when you're track isn't cooperating. This course is for beginners and advanced users alike. After this course, you'll be able to go film, track and render out a composited shot with your own footage  Duration: 28m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 328 MB Genre: eLearning | Language: English In the class, you'll learn how to:  Duration: 4h 21m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.92 GB Genre: eLearning | Language: English Course Description  MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 7h 38m | Size: 4.95 GB Do you want a guide that will help you to pick the right big data technology for your project? Or do you want to get a solid understanding of the big data architecture and pipelines? This course will help you out.  Duration: 42m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 474 MB Genre: eLearning | Language: English Maya Mash is an incredible tool to create procedural kind of work inside Maya. it is a very new kind of tool set that Maya has introduced which is really nice tool to make tedious work in a such a fashion which will reduce time of all artist. Maya mash is not something like you do it with manual approach. this tool set is extremely handy to make ton of similar kind of jobs in a very few span of time therefore Maya mash tool is now very popular to populate a vast area in a second by using this which is an opportunity to make any kind of foliage vegetation and environmental repetitive work which was done earlier by Maya particle instancer though the concept of this Maya mash is instancer but it is very powerful than normal Maya instancer because of you can do motion graphics kind of work with this tool set so here I am presenting this short course that how you are going to use this Maya mash tool to get this kind of foliage for vegetation kind of natural effects pretty easily. The main thing is this that knowing is and doing is something totally different because the workflow is going to be the best practice of this workflow otherwise you can complicate things very easily if you don't know the proper workflow so in this course you are going to learn that actual handy workflow that you are going to use this Maya mash with your ideas.  Duration: 1h 28m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 264 MB Genre: eLearning | Language: English Data scientists and ML/AI students may need some practical experience with supervised learning algorithms. In this course, instructor Ayodele Odubela teaches you to apply models you've created to new data and to assess model performance. First, Ayodele outlines what supervised learning is and how to make predictions using labeled training data. She gives you an overview of the logistic regression algorithm, how to build a linear model in Python, and how to calculate model metrics. Next, Ayodele helps you create your first decision trees as well as k-nearest neighbors models using GridSearch. Ayodele covers how you can create artificial neural networks that are foundational for most deep learning work. She concludes with an ethical AI overview and asks you to consider the impact of your models. |
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