Udemy – A Beginner’s Guide To Machine Learning with Unity (Complete)

Udemy – A Beginner’s Guide To Machine Learning with Unity (Complete)
English | Size: 2.1GB
Category: Tutorial

What if you could build a character that could learn while it played? Think about the types of game play you could develop where the enemies started to outsmart the player. This is what machine learning in games is all about. In this course we will discover the fascinating world of artificial intelligence beyond the simple stuff and examine the increasingly popular domain of machines that learn to think for themselves.
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Machine Learning A-Z Hands-On Python & R In Data Science

Machine Learning A-Z Hands-On Python & R In Data Science
English | Size: 5.48 GB
Category: CBTs

Welcome to the course!
——————– Part 1: Data Preprocessing ——————–
——————– Part 2: Regression ——————–
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance
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Data Science Supervised Machine Learning in Python

Data Science Supervised Machine Learning in Python
English | Size: 464.44 MB
Category: Programming | E-learning

What Will I Learn?
Understand and implement K-Nearest Neighbors in Python
Understand the limitations of KNN
User KNN to solve several binary and multiclass classification problems
Understand and implement Naive Bayes and General Bayes Classifiers in Python
Understand the limitations of Bayes Classifiers
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Python Machine Learning Projects

Python Machine Learning Projects
English | Size: 599.68 MB
Category: Tutorial

Machine learning gives you unimaginably powerful insights into data. Today, implementations of machine learning have been adopted throughout Industry and its concepts are numerous. This video is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. [Read more…]

Adobe Photoshop Plugin – Mr Retro – Machine Wash Vol 4

Adobe Photoshop Plugin – Mr Retro – Machine Wash Vol 4
English | Size: 355 MB
Category: Tutorial

Finally you can create professional quality image aging and weathering effects with our Machine Wash Image Filters! This closely guarded secret of the apparel industry can now be yours! Introducing the fourth in our Machine Wash Filter Collection – Machine Wash Volume IV! Featuring 60 more amazing new weathering, distress, and tactile effects you’ll be sure to love.These filters have been developed and tested for use with Adobe Photoshop 6.0 to the current CS3 version as well as now supporting Photoshop Elements 1.0 and higher. Works on both Mac and Windows. [Read more…]

Data Science, Deep Learning, & Machine Learning with Python

Data Science, Deep Learning, & Machine Learning with Python
English | Size: 3.07 GB
Category: Career

What Will I Learn?

Develop using iPython notebooks
Understand statistical measures such as standard deviation
Visualize data distributions, probability mass functions, and probability density functions
Visualize data with matplotlib
Use covariance and correlation metrics
Apply conditional probability for finding correlated features
Use Bayes’ Theorem to identify false positives
Make predictions using linear regression, polynomial regression, and multivariate regression
Understand complex multi-level models
Use train/test and K-Fold cross validation to choose the right model [Read more…]

Packt Publishing – Getting Started with MATLAB Machine Learning

Packt Publishing – Getting Started with MATLAB Machine Learning
English | Size: 2.04 GB
Category: CBTs

This video course takes a very comprehensive approach to enhancing your understanding of machine learning using MATLAB. Plenty of real-world examples and use cases are included in the video course to help you grasp the concepts quickly and apply them easily in your day-to-day work.

MATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. This video will help beginners build a foundation in machine learning using MATLAB.
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Packt Publishing – Extending Machine Learning Algorithms

Packt Publishing – Extending Machine Learning Algorithms
English | Size: 398.28 MB
Category: Tutorial

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. We will use libraries such as scikit-learn, e1071, randomForest, c50, xgboost, and so on.We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming.It focuses on the various tree-based machine learning models used by industry practitioners.We will also discuss k-nearest neighbors, Naive Bayes, Support Vector Machine and recommendation engine.By the end of the course, you will have mastered the required statistics for Machine Learning Algorithm and will be able to apply your new skills to any sort of industry problem. [Read more…]

OReilly – AI And Machine Learning for Healthcare

OReilly – AI And Machine Learning for Healthcare
English | Size: 6.00 GB
Category: CBTs

Artificial intelligence (AI) and machine learning (ML) in healthcare comprise a rapidly expanding and very promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike, while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial to producing valuable applications in the near future.
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O’Reilly – Monitoring and Improving the Performance of Machine Learning Models

O’Reilly – Monitoring and Improving the Performance of Machine Learning Models
English | Size: 863.79 MB
Category: CBTs

It’s critical to have “humans in the loop” when automating the deployment of machine learning (ML) models. Why? Because models often perform worse over time.

This course covers the human directed safeguards that prevent poorly performing models from deploying into production and the techniques for evaluating models over time. We’ll use ModelDB to capture the appropriate metrics that help you identify poorly performing models. We’ll review the many factors that affect model performance (i.e., changing users and user preferences, stale data, etc.) and the variables that lose predictive power. We’ll explain how to utilize classification and prediction scoring methods such as precision recall, ROC, and jaccard similarity. [Read more…]