Artificial-Intelligence-and-Machine-Learning-Fundamentals-eLearning

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Artificial-Intelligence-and-Machine-Learning-Fundamentals-eLearning

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Learn to develop real-world applications powered by the latest advances in intelligent systems

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# Artificial Intelligence and Machine Learning Fundamentals
AI has already impacted our lives by finding its way into fields like finance and medicine. Learn how you can create artificial intelligence applications in Python, and lay down the foundation for your own lucrative career in data science.

## What you will learn
* Understand the importance, principles, and fields of AI
* Learn to implement basic artificial intelligence concepts with Python
* Apply regression and classification concepts to real-world problems
* Perform predictive analysis using decision trees and random forests
* Perform clustering using the k-means and mean shift algorithms
* Understand the fundamentals of deep learning via practical examples

### Hardware requirements
For an optimal experience, we recommend the following hardware configuration:
* **Processor**: Intel Core i5 or equivalent
* **Memory**: 4GB RAM
* **Storage**: 35 GB available space

### Software requirements
You'll also need the following software installed in advance:
* **OS**: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit, Ubuntu Linux, or the latest version of OS X
* **Browser**: Google Chrome, latest version
* Anaconda, latest version
* IPython latest version
Access to installation instructions can be provided separately to course material for large training centers and organizations. All source code is publicly available on GitHub and fully referenced within the training material.

Artificial-Intelligence-and-Machine-Learning-Fundamentals-eLearning

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