October 25th 2025

The Mathematics of Machine Learning

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and framework to get useful results.

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Google is diving deeper into artificial intelligence.

Google is diving deeper into artificial intelligence, with the company opening a dedicated machine learning research center in its Zurich office, the search company announced on Thursday, June 16. The Google Research Europe center will focus on three areas: Machine intelligence, natural language processing, and understanding and machine perception.

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Organizations are always looking at new ways to fully derive value from data analytics.

Business users need to become self-reliant data explorers and IT departments need to empower them by providing the right tools and environment for fast, easy and wide-ranging data access, according to experts. The old model for analytics offered one way to deploy analytics: IT had to build a centralized semantic layer prior to allowing business users adopt BI. IT controlled analytics, they would build reports and dashboards and flood it out to the masses.

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Machine learning and IoT analytics can fit into their businesses.

 It's not to say these things can't deliver value to businesses. But without a clear use case in mind, businesses would be better off focusing on more traditional applications, with proven value propositions. A total of 88% of respondents said they are currently successful with BI and analytics, leaving just 12% who consider themselves unsuccessful.

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Natural Language Generation: A Revolution in Business Insight

“Think about just how interconnected the world is now,” said Matt Gould, the co-founder of Arria NLG, a prominent enterprise in the development and deployment of Natural Language Generation (NLG) technologies worldwide. “Think about it from just a personal context. How much data are you generating personally every day?

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