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TutorialsExplore Comprehensive Tutorials for Various SkillsAccess a wide range of tutorials on various topics, including technology, design, business, and more. Whether you're a beginner or an expert, find the perfect tutorial to help you improve your skills and achieve your goals.  DownloadleManoosh – Keyshot Material Mastery Content Source:https://lemanoosh.com/keyshot-material-mastery/ Genre / Category:3D Tutorials File Size :7GB You always work hard and spend sleepless nights on a project but in the end, you feel disappointed by the result. You know you can do better. Despite having accesses to the best resources online, you can hardly pass on the next level. Your renderings lack of character, realism and don't reflect the potential of your ideas. Your understanding of the tools and settings is not complete enough to have fun, and play by your own rules.  DownloadFXPHD – Taking Houdini Digital Assets to the Next Level Content Source:https://www.fxphd.com/details/654/ Genre / Category:3D Tutorials File Size :2.4GB Digital Assets are at the center of everyday use of Houdini. You have probably created HDAs and also downloaded some created by others. The goal of this course is to analyze what makes a good HDA and how you can apply these concepts to create more robust Digital Assets. As a follow up to HOU140 – Houdini FX Tool Building Foundation, this intermediate course assumes some basic knowledge of Houdini and how HDAs work. The whole course revolves around a realistic production scenario that involves creating a Digital Asset for creating roof tiles on a variety of buildings. The first classes will go over the creation of the user interface and present some techniques for making more user friendly HDAs. The next classes will continue the development by improving the performance and the iteration times of the HDA as well as best practices for organizing the internals of the HDA, validating input attributes and performing error checks, documenting and debugging. The last part of the course will cover tips for updating HDAs and introduce 2 new techniques for automating tests that check the integrity of the HDA by performing geometry and render comparisons in Python. The last classes will cover some more Python tips and tricks that can be applied to HDAs, which will lead to the finalization of the roof tiles generator project. By the end of this course you will have learned enough techniques to create better, more reliable and more user friendly HDAs.  Team management skills for leading Hybrid, Remote / Virtual teams Published 2/2023 Created by John Hinchliffe MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  The Complete Java Course. Learn Java From Scratch and Go From Beginner To Advanced In Java. Duration: 54m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 303 MB Genre: eLearning | Language: English[Auto] Free Download The Java Course - Learn From Scratch  The Most Powerful Communication Mechanism For Agile Product Creation Published 2/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 7.55 GB | Duration: 9h 16m  Pipeline Stress Analysis course following ASME B31.8/ASME B31.4 using Caesar II Published 2/2023 Created by Anup Kumar Dey MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  Geometrical, Wave, Physical, Quantum & Modern Optics: Famous Experiments, Effects, Applications & Mathematical Models Published 2/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.07 GB | Duration: 17h 22m  Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills. Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 191 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Machine Learning and AI Foundations: Decision Trees with SPSS  Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data into known categories but uncovering hidden patterns. Unsupervised learning plays a big role in modern marketing segmentation, fraud detection, and market basket analysis. This course shows how to use leading machine-learning techniques—cluster analysis, anomaly detection, and association rules—to get accurate, meaningful results from big data. Instructor Keith McCormick reviews the most common clustering algorithms: hierarchical, k-means, BIRCH, and self-organizing maps (SOM). He uses the same algorithms for anomaly detection, with additional specialized functions available in IBM SPSS Modeler. He closes the course with a review of association rules and sequence detection, and also provides some resources for learning more. All exercises are demonstrated in IBM SPSS Modeler and IBM SPSS Statistics, but the emphasis is on concepts, not the mechanics of the software. Duration: 3h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 532 MB  Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the concepts behind the most important linear regression techniques and how to use them effectively. Throughout the course, instructor Keith McCormick uses IBM SPSS Statistics as he walks through each concept, so some exposure to that software is assumed. But the emphasis will be on understanding the concepts and not the mechanics of the software. SPSS users will have the added benefit of being exposed to virtually every regression feature in SPSS. Instructor Keith McCormick covers simple linear regression, explaining how to build effective scatter plots and calculate and interpret regression coefficients. He also dives into the challenges and assumptions of multiple regression and steps through three distinct regression strategies. To wrap up, he discusses some alternatives to regression, including regression trees and time series forecasting. Duration: 3h 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 627 MB Level: Intermediate | Genre: eLearning | Language: English |
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