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If you want to learn how to design and master different machine learning algorithms quickly and easily, then keep listening. Today, we live in the era of artificial intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. Simply put, machine learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of machine learning because within data lie truths whose depths exceed our imagination. Some of the topics that we will discuss inside include: What is machine learning and how it is applied in real-world situations Understanding the differences between deep learning and artificial intelligence Supervised learning, unsupervised learning, and semi-supervised learning The place of regression techniques in machine learning Machine learning training models The 12 essential libraries for machine learning in Python Artificial neural networks While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of machine learning technology and helps you to understand how researchers are breaking the boundaries of data science to mimic human intelligence in machines. Would you like to know more? Get this audiobook now to get started!
eBook details
- Title: Python Machine Learning: A Complete Guide for Beginners on Machine Learning and Deep Learning
- Author : Andrew Park, Russell Newton
- Release Date : *
- Genre: Books,Computers & Technology,Computer Science,AI & Machine Learning,Neural Networks
- Pages : * pages
- Size : * KB
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