Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)

Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)

<h2>Computers can't LEARN... Right?!</h2><br /><p>Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called <strong> algorithms</strong>.</p><br /><h3>In practice, they want to give computers the ability to Learn and to Adapt.</h3><br /><p>We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people.</p><br /><p>Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it.</p><br /><h4>Supervised Learning Algorithms</h4><br /><ul><br /><li>K-Nearest Neighbour</li><br /><li>Naïve Bayes</li><br /><li>Regressions</li><br /></ul><br /><h4>Unsupervised Learning Algorithms:</h4><br /><ul><br /><li>Support Vector Machines</li><br /><li>Neural Networks</li><br /><li>Decision Trees</li><br /></ul>