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Analytics: The products of Machine Learning and Data Science (such as predictiveanalytics, health analytics, cyber analytics). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Industry 4.0
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Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Innovations can now win the future. Already, data scientists are making big leaps forward.
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And more recently, we have also seen innovation with IOT (Internet Of Things). Machine learning can keep up, by continually looking for trends and anomalies, or predictiveanalytics, that are interesting for the given use case.
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