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Practical Artificial Intelligence (AI) with H2O in Python

 

Practical Artificial Intelligence (AI) with H2O in Python 

GETTING STARTED

Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.

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What you'll learn

  • Be Able To Use the Python/Anaconda Environment For Practical Data Science
  • Learn the Important Concepts Associated With Supervised and Unsupervised Learning
  • Implement Supervised Learning on Real Life Data With the Powerful H2O Package in Python
  • Implement Unsupervised Learning on Real Life Data With the Powerful H2O Package in Python
  • Implement Artificial Neural Networks (ANN) on Real Life Data With the Powerful H2O Package in Python
  • Implement Deep Neural Networks (DNN) on Real Life Data With the Powerful H2O Package in Python

Requirements

  • Be Able To Operate & Install Software On A Computer
  • Prior Exposure To Common Machine Learning Terms Such As Unsupervised & Supervised Learning
  • Prior Exposure To What Neural Networks Are & What They Can Be Used For
  • Be Able to Install Packages in R

 Description

YOUR COMPLETE GUIDE TO H2O: POWERFUL R PACKAGE FOR MACHINE LEARNING, & DEEP LEARNING IN PYTHON   

This course covers the main aspects of the H2O package for data science in Python. If you take this course, you can do away with taking other courses or buying books on Python-based data science as you will have the keys to a very powerful Python supported data science framework.

 In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in machine learning, neural networks and deep learning via a powerful framework, H2O in Python, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I finished a PhD at Cambridge University, UK, where I specialized in data science models.

I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.

Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic.

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. 

Unlike other Python instructors, I dig deep into the data science features of Python and give you a one-of-a-kind grounding in data science...

You will go all the way from carrying out data reading & cleaning to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using Python.

Among other things:

  • You will be introduced to powerful Python-based deep learning packages such as H2O.

  • You will be introduced to important concepts of machine learning without the jargon.

  • You will learn how to implement both supervised and unsupervised algorithms using the H2O framework

  • Identify the most important variables.  

  • Implement both Artificial Neural Networks (ANN) and Deep Neural Networks (DNNs) with the H2O framework

  • Work with real data within the framework



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