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How IoT Can Give Impact to Chemical Industry

If chemical companies want to remain competitive in a changing world, they need to use innovative technology quickly to perform digital transformation. Combining IoT – especially combining IoT with machine learning – can move the chemical industry forward to work more efficiently and produce better results. Below is how IoT can give impact to chemical

Machine Learning Penetrate Construction Industry

Machine learning (ML) that people always confused with AI, has been portrayed in movies and other media so often that it’s gathered quite a mythology about it. From fears that it will take over the world, to curiosity about whether an AI can be sentient, it’s easy to get caught up in a fantasy land

What is the Difference Between AI, ML, and DL

By the end of article, you will understand on what is the Difference Between AI, ML, and DL. Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to. For

5 Common ML Challenges Data Scientists Face

1) Communication: Unclear questions and outcome metrics A fundamental challenge facing data scientists has nothing to do with ensemble algorithms, optimization methods, or computing power. Communication – prior to any analysis or data engineering – is crucial to solving an ML problem quickly and painlessly. There are many, many questions ML can solve: this is

How business can be benefit with machine learning

If you’ve ever paid someone with PayPal, watched a movie recommended by Netflix or misspelled a word in a search engine and received the correct results anyway—you’ve benefited from machine learning. For years, forward thinking businesses have been exploring new ways to harness machine learning to improve the ways they serve their customers. Should your

Machine learning use cases for security

At its simplest level, machine learning is defined as “the ability (for computers) to learn without being explicitly programmed.” Using mathematical techniques across huge datasets, machine learning algorithms essentially build models of behaviors and use those models as a basis for making future predictions based on newly input data. It is Netflix offering up new

Typical explanation between AI and ML

Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference. Both

Machine learning what it is & why it matters

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to

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