Big data technologies and trends for companies looking to leverage big data analytics and related technology like Hadoop, NoSQL and machine learning.
Machine learning opens up new avenues for Internet of Things, NLP, and self-teaching AI. Machine learning jobs are in hot demand, the human adaptability to machine learning has led to a heavy reliance on robotic process automation. Machine learning algorithms assist IT operations teams to find the root cause of issues.
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This article takes a look at the difference between Machine Learning and deep Learning as well as gives an overview of what each topic means.
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(This article was originally published on my blog here ). JavaScript is a powe...
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Google's DeepMind is making breakthroughs in artificial intelligence research and in using the technology for healthcare, but hiring top-tier doctors, academics, and researchers costs an awful lot of money.
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An A.I. learned to compose traditional folk tunes that sound anything but digital.
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Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to…
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New biomedical techniques, like next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape.
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AI is being propelled out of research labs and into our everyday lives, from navigating cities, ride shares, our energy networks, to the online world.
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Business rule engines (BRE) have been around for a long time. Introduced in the early 1990s, BREs have found application in many industries, particularly those that are heavily regulated where comp…
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In today’s information economy, data has become the world’s newest digital currency Every minute, there are roughly 450,000 tweets, 500,000 comments posted on Facebook, 999,000 Tinder swipes, 3.6 million Google searches, 4.1 million YouTube videos watched and 103 million spam emails. Add to this, reams of customer data, employee data, medical data, government data, financial data – and the list goes on and on. According to IDC Research, total worldwide data will swell to 163 zettabytes by 2025,
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How do you operate a data-driven application before you have any data? This is known as the cold start problem. We faced this problem all the time when I designed clinical trials at MD Anderson Cancer Center. We uses Bayesian methods to design adaptive clinical trial designs, such as clinical trials for...
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Using the FeatureSelector for efficient machine learning workflows
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Paying with your data for "free'' services is much more expensive that most people realize.
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Conventional computers store information in a bit, a fundamental unit of logic that can take a value of 0 or 1. Quantum computers rely on quantum bits, also known as a "qubits," as their fundamental building blocks. Bits in traditional computers encode a single value, either a 0 or a 1. The state of a qubit, by contrast, can simultaneously have a value of both 0 and 1. This peculiar property, a consequence of the fundamental laws of quantum physics, results in the dramatic complexity in quantum
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For stock markets and exchanges, cloud technologies are prevalent, AI is on the horizon and blockchain is not of much interest.
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Stephen Hawking once warned that advances in artificial intelligence might eventually “spell the end of the human race.” And yet decision-makers from financial corporations to government agencies have begun to embrace machine learning’s enhanced power to predict—a power that commentators say “will t
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How to deal with data analytics customers who don't really know what they want.
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The What, Why and How of React (Styles)
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Also known as deep learning, neural networks are the algorithmic constructs that enable machines to get better at everything from facial recognition and car collision avoidance to medical diagnoses and natural-language processing.
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The top 100 AI startups of 2017 have raised $11.7 billion in aggregate funding across 367 deals.
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