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Machine Learning in Finance - why, what, how - Analytics Jobs

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Machine learning in finance might work magic, although there's no secret powering it (well, perhaps just a bit of bit). Nevertheless, the good results of machine learning task depends much more on creating effective infrastructure, collecting ideal datasets, and putting on the proper algorithms. Machine learning is actually making considerable inroads within the financial services sector. Let us see why financial companies must care, what answers they could put into action with AI as well as machine learning, and just how exactly they are able to use this technology. We are able to define machine learning (ML) being a subset of information science that makes use of statistical models to bring insights as well as whip predictions.


Ask the AI experts: What's driving today's progress in AI?

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While the deep-learning technology behind many of today's AI advances seems new to most, it has been around for decades--simply needing the data and power available today to fuel it. Artificial-intelligence technology has begun to hit its stride, springing from research labs into real business and consumer applications. Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to find out. An edited version of the experts' remarks follows the video. Li Deng, chief AI officer, Citadel: There are a few factors that really propelled AI to this current state--what many people call "the third wave."


Global Bigdata Conference

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There's a significant level of hype around machine learning – generated by tech vendors, the media, and even CIOs themselves. But putting the hoopla aside, machine learning technologies actually have real substance and as a CIO, it's worthwhile getting on top of the trends in this area.


Why Is Deep Learning Still On The 'Hype Cycle'?

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Over the last 10 years, the world has witnessed quantum leaps in the technology space; especially in artificial intelligence. For example, compared to the initial days of speech recognition, today smartphones have turned into virtual assistants. With all these advancements in technology coming into the market, people are gaining more interest in the technology behind -- like machine learning and deep learning. As interest and the excitement surrounding DL continues to grow, experts are still wondering if DL will make a great impact on AI or if it's just a hyped craze which will disappear in the near future. According to research and advisory firm, a technology progression flows through a life cycle.


Artificial Intelligence in education - How it improves the learning experience? - Fedena Blog

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Artificial intelligence (AI) is now a part of our lives whether we know it or not, and whether we accept it or not. It has risen to such a status over the years in a slow but steady manner. Everything that we do like buying clothes and shoes on the internet as well as watching shows on TV is influenced to various extents by AI. However, the question that needs to be asked in this context is what effect would this have on education? The fact of the matter is that AI does not take away, in way, shape, or form, from the classroom.