More specifically, data science encompasses the entire process of obtaining knowledge by integrating methods from statistics, computer science, and other fields to gain insight from data. By the end of the book, you will have explored related web resources and technologies that will help you take your learning to the next level.īy applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data.
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Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analysis. The code in this book works for JDK 8 and above, the code is tested on JDK 11. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. Machine Learning in Java will provide you with the techniques and tools you need. The main challenge is how to transform data into actionable knowledge. This makes machine learning well-suited to the present-day era of big data and Data Science. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition.
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.
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