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Complete C# Unity Developer: Create Games and Learn to Code

by Denis Panjuta

22.5 hours on-demand video

Create 3D models with Blender You learn to build random fields, make dynamic User interfaces, use timers and much more. Building a Bitblaster XL clone you will learn to make different enemy types, extend a game as you go, use multiple different shooting types, create random enemies, use tags and much more....

$12.99

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Bayesian Statistics: From Concept to Data Analysis

by Herbert Lee

Approx. 12 hours to complete

Priors and Models for Discrete Data Models for Continuous Data...

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Fundamentals of waves and vibrations

by Emmanuel de Langre , Olivier Doaré , Jean François Semblat

Approx. 6 hours to complete

There are so many phenomena and so many models that we need to work with you on the basic mechanisms . 7 Random excitations...

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Applied Machine Learning in Python

by Kevyn Collins-Thompson

Approx. 34 hours to complete

Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e. Random Forests Explain different approaches for creating predictive models...

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From a Chubby Gamer to a Fitness Guru

by Ramin Farsad

2 hours on-demand video

Shortly after, I made this detrimental habit of going through random photos of fitness models and cursing my poor genetics and the entire world(!)....

$12.99

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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor

Approx. 22 hours to complete

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. Practical Aspects of Deep Learning Train / Dev / Test sets Bias / Variance Basic Recipe for Machine Learning Regularization Why Regularization Reduces Overfitting?...

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