Overview of this book
<p>Python has surfaced as a dominant language in AI/ML programming because of its simplicity and flexibility. It has great support for open-source libraries such as Scikit-learn and TensorFlow.</p>
<p>Built for rookie AI enthusiasts across four realistic projects, this course covers modern techniques that make up the world of Artificial Intelligence. Dive into your first natural language processing project, build a facial recognition system, and build your very own self driving steering code. You will explore the use of neural networks and deep learning, and how you can train and test sets for feature extraction. You'll be introduced to the Keras deep learning library, which you will use to predict taxi journey times, and to the use of natural language processing to find the most relevant articles in Wikipedia.</p>
<p>By the end of this video course, you will be confident enough to build your own AI projects with Python, and ready to take on more advanced content as you move on.</p>
<p>The code bundle for this video course is available at - <a href="https://github.com/PacktPublishing/Learning-Python-Artificial-Intelligence-by-Example" target="_blank">https://github.com/PacktPublishing/Learning-Python-Artificial-Intelligence-by-Example</a></p>
<h1>Style and Approach</h1>
<p>Built for amateur AI enthusiasts and using realistic examples, this course covers modern techniques that make up the world of Artificial Intelligence.</p>
