PluralSight – Build Train and Deploy Machine Learning Models with AWS SageMaker

PluralSight – Build Train and Deploy Machine Learning Models with AWS SageMaker-ViGOROUS
English | Size: 423.44 MB
Category: Tutorial


A fully managed machine learning service is a great place to start if you want to quickly get machine learning into your applications. In this course, Build, Train, and Deploy Machine Learning Models with AWS SageMaker, you will gain the ability to create machine learning models in AWS SageMaker and to integrate them into your applications. First, you’ll learn the basics and how to set up SageMaker. Next, you’ll discover how to build, train, and deploy models applied to Image Classification for breast cancer detection and how to integrate them into a REST API. Finally, you will even discover how to manage security and scalability in AWS SageMaker. When you’re finished with this course, you will have a foundational understanding of AWS SageMaker that will help you immensely as you move forward to create your own machine-learning-enabled applications applied to different real-life scenarios. [Read more…]

Linkedin – Learning Algorithmic Trading and Finance Models With Python R and Stata Essential Training-BiFiSO

Linkedin – Learning Algorithmic Trading and Finance Models With Python R and Stata Essential Training-BiFiSO
English | Size: 288.82 MB
Category: Tutorial


Business intelligence is one of the fastest growing areas of business, especially for financial investing. This project-based course focuses on using different types of software to build models (algorithms) that can trade stocks and other financial products. Michael McDonald shows how you can use Excel, Python, R, or Stata, to set up quantitative, testable investment rules so that you can make informed trading decisions. First, he explains what algo trading is and how it works. Next, he discusses how to develop an algo trading strategy and shares tips for how to identify opportunities in various markets. Then, he goes through an in-depth exploration of how to leverage existing software tools. Michael also covers stock trading, bond trading, data analysis, regressions, and more. [Read more…]

PluralSight – Building Classification Models with scikit-learn

PluralSight – Building Classification Models with scikit-learn-ViGOROUS
English | Size: 303.18 MB
Category: Tutorial


Perhaps the most ground-breaking advances in machine learning have come from applying machine learning to classification problems. In this course, Building Classification Models with scikit-learn you will gain the ability to enumerate the different types of classification algorithms and correctly implement them in scikit-learn. First, you will learn what classification seeks to achieve, and how to evaluate classifiers using accuracy, precision, recall, and ROC curves. Next, you will discover how to implement various classification techniques such as logistic regression, and Naive Bayes classification. You will then understand other more advanced forms of classification, including those using Support Vector Machines, Decision Trees and Stochastic Gradient Descent. Finally, you will round out the course by understanding the hyperparameters that these various classification models possess, and how these can be optimized. When you’re finished with this course, you will have the skills and knowledge to select the correct classification algorithm based on the problem you are trying to solve, and also implement it correctly using scikit-learn. [Read more…]

Pluralsight – Interpreting Data with Statistical Models

Pluralsight – Interpreting Data with Statistical Models
English | Size: 230.16 MB
Category: Tutorial


Data is everywhere, from the newspaper you read on the subway to the report you are using to analyze yesterday’s stock market performance. In this course, Interpreting Data with Statistical Models, you will gain the ability to effectively understand how to tackle problems that appear at your work, understand which is the right statistical analysis to use, and how to interpret the results to obtain insights. First, you will learn the very basics of statistics. Next, you will discover hypothesis testing to compare variables. Finally, you will explore how to make multiple comparisons and detect functional relationships with ANOVA and Regression. When you’re finished with this course, you will have the skills and knowledge of data analysis and statistical models needed to make your data speak for itself. [Read more…]

Livemodelbooks – Models for Life Drawing, Sculpting and Reference

Livemodelbooks – Models for Life Drawing, Sculpting and Reference
English | Size: 2.2 GB
Category: Tutorial

This collection puts you in the studio with eleven professional art models in over a hundred beautifully photographed full color poses. Work with the human figure on your schedule, anywhere and any time you want.

-Hone your skills
-Practice new techniques
-Try new materials
-Find inspiration
-Study a variety of models in fine detail.
[Read more…]

Livemodelbooks – Models for Life Drawing, Sculpting and Reference

Livemodelbooks – Models for Life Drawing, Sculpting and Reference
English | Size: 2.2 GB
Category: Tutorial

This collection puts you in the studio with eleven professional art models in over a hundred beautifully photographed full color poses. Work with the human figure on your schedule, anywhere and any time you want.
[Read more…]

Packt Introduction to ML Classification Models using scikit-learn-XQZT

Packt Introduction to ML Classification Models using scikit-learn-XQZT
English | Size: 994.13 MB
Category: CBTs

This course will give you a fundamental understanding of machine learning with a focus on building classification models. The basic concepts of machine learning (ML) are explained, including supervised and unsupervised learning; regression and classification; and overfitting. There are three lab sections which focus on building classification models using support vector machines, decision trees, and random forests using real data sets. The implementation will be performed using the scikit-learn library for Python [Read more…]

Strategies for UV Mapping Organic Models (2016) by Richard Yot

Strategies for UV Mapping Organic Models (2016) by Richard Yot
English | Size: 1.1GB
Category: Tutorial

In this detailed tutorial you will learn how to unwrap a complex organic mesh of a human model from start to finish, and explore several strategies for dealing with the typical problems you might encounter with UV mapping a complex organic model.

After watching the training you should have the skills to unwrap any organic mesh, regardless of its complexity, and have a much clearer idea of the best way to tackle challenging unwraps. [Read more…]

Creative Live – Working with Models With Matthew Jordan Smith

Creative Live – Working with Models With Matthew Jordan Smith
English | Size: 9.71 GB
Category: CBTs

Want to learn how to find models, how to build your portfolio, and about the business of fashion photography? Fashion photographer Matthew Jordan Smith returns to the creativeLIVE studios for a 3-day workshop teaching photographers how to work with models! Matthew and fashion model Yoanna House from America’s Next Top Model will take you through the model-photographer relationship from both sides, showing what sort of direction is helpful and what is confusing, how to cast for a photoshoot, and what you should look for in a model. Matthew will share his insights on how you get the look you need from a model and how to build relationships with models to get the best possible results. Models: want to learn how to be a successful model? [Read more…]

300 Moscow Build 3d models (max,maya)

300 Moscow Build 3d models (max,maya)
English | Size: 4.41 GB
Category: Models

The archive contains 300 3d models of buildings of Moscow, Russia.
200 models for maya, 100 models for maya+max. models have some LOD.
[Read more…]