📓 Machine Learning in Java, 2nd Edition.

• As the amount of data in the world continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge.

What you will learn:
• Discover key Java machine learning libraries;
• Implement concepts such as classification, regression, and clustering;
• Develop a customer retention strategy by predicting likely churn candidates;
• Build a scalable recommendation engine with Apache Mahout;
• Apply machine learning to fraud, anomaly, and outlier detection;
• Experiment with deep learning concepts and algorithms;
• Write your own activity recognition model for eHealth applications;

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