Advanced Machine Learning with scikit-learn – Training DVD

By | iot, machinelearning

Number of Videos: 4 hours – 46 lessons
Ships on: DVD-ROM
User Level: Advanced
Works On: Windows 7,Vista,XP- Mac OS X

In this Advanced Machine Learning with scikit-learn training course, expert author Andreas Mueller will teach you how to choose and evaluate machine learning models. This course is designed for users that already have experience with Python. You will start by learning about model complexity, overfitting and underfitting. From there, Andreas will teach you about pipelines, advanced metrics and imbalanced classes, and model selection for unsupervised learning. This video tutorial also covers dealing with categorical variables, dictionaries, and incomplete data, and how to handle text data. Finally, you will learn about out of core learning, including the sci-learn interface for out of core learning and kernel approximations for large-scale non-linear classification. Once you have completed this computer based training course, you will have learned everything you need to know to be able to choose and evaluate machine learning models. Working files are included, allowing you to follow along with the author throughout the lessons.Learn Advanced Machine Learning with scikit-learn from a professional trainer from your own desk.
Visual training method, offering users increased retention and accelerated learning
Breaks even the most complex applications down into simplistic steps.
Comes with Extensive Working Files


Machine Learning: w/ Java, Lvl 1: Create GREAT Machine Learning Algorithms! Build INTELLIGENT Apps TODAY! Great for: Data Mining, Neural Networks, Deep … Intelligence (Machine Learning Series)

By | iot, machinelearning


are you ready?

One of the most VALUABLE fields in Computers & Programming,
As well as the most HIGHLY PAID,
And the BIGGEST impact in society
is NOW available at your fingertips…

Machine Learning.
A sub-branch of Artificial Intelligence
Concerned with sophisticated learning techniques
To supply new information to an Intelligent System.
Yet it’s one of the most COMPLEX and sophisticated fields in Programming,
But it’s NOT really that difficult…

We break the science and concepts down,
Into a comprehensive, simple, easy-to-read work.
All you need is a BASIC understanding of programming,
And a little bit of Java skill,
to take your programming to the NEXT LEVEL.

For less than a meal at your favourite fast food joint,

Included Instructions: How to Build a Machine Learning Algorithm

1st Generation AWS IoT Button

By | iot, machinelearning

This programmable Wi-Fi button is designed to help developers learn how to use AWS IoT, AWS Lambda, Amazon DynamoDB, Amazon Simple Notification Service and other Amazon Web Services.
An easy way to get started with the Internet of Things, based on the Amazon Dash button hardware, the AWS IoT button is a developer kit that can be programmed to control internet-connected devices and services.
Eliminate the hassle of writing device-specific code; code in the cloud to configure your button’s single, double, and long clicks.
Receive $20 in AWS Credits when you register your first button on AWS (Max benefit is $20 per customer. Credit is applied within 24 hours)


Bayes Theorem: A Visual Introduction For Beginners

By | iot, machinelearning

Bayes Theorem Examples: A Beginners Visual Approach to Bayesian Data Analysis

If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

From Google search results to Netflix recommendations and investment strategies, Bayes Theorem (also often called Bayes Rule or Bayes Formula) is used across countless industries to help calculate and assess probability.

Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids.

In this guide, we unpack the various components of the theorem and provide a basic overview of how it works – and with illustrations to help. Three scenarios – the flu, breathalyzer tests, and peacekeeping – are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved.

Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white.

For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include:

  • A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.
  • A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life.
  • A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.
  • Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.
  • An expanded definitions, notations, and proof sectionWe have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about.
  • A recommended readings sectionFrom The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look!

If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries – so take an easy dive into the theorem for yourself with a visual approach!