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

Are you interested in diving deep into the world of machine learning and understanding its fundamental algorithms for both supervised and unsupervised learning? Look no further than this advanced data analytics book, which covers the essential concepts and techniques in machine learning with real-world applications.

In this book, you will learn about popular supervised learning algorithms such as linear regression, logistic regression, support vector machines, decision trees, and neural networks. You will also explore unsupervised learning algorithms like clustering, dimensionality reduction, and association rule mining.

The real-world applications covered in this book include image and speech recognition, natural language processing, recommender systems, and anomaly detection. By understanding the underlying algorithms and their applications, you will be equipped to solve complex data problems and make informed decisions in your professional life.

Whether you are a data scientist, machine learning enthusiast, or someone looking to enhance your skills in advanced data analytics, this book is a must-read. Get ready to unlock the power of machine learning and take your data analysis skills to the next level!
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