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What's the Difference Between Machine Learning Techniques?

#artificialintelligence

Artificial intelligence (AI), machine learning (ML), and robots are the sights and sounds of science fiction books and movies. Isaac Asimov's Three Laws of Robotics, first introduced in the 1942 short story "Runaround," became the backbone for his novel I, Robot and its film adaptation (Fig. 1). Although we are still far away from achieving what movie producers and sci-fi writers have envisioned, the state of AI and ML has progressed significantly. AI software has also been in use for decades but advances in ML, including the use of deep neural networks (DNNs), are making headlines in application areas like self-driving cars.


Machine Learning Will Be 2017's Top Trend (and Will Help Solve IoT's Big Data Challenge)

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It's a brand new year, and a good time to look into the future to see what the next 12 months will bring. I listened to my friend Bridget Karlin make her predictions on the radio program Coffee Break with Game-Changers, which compiled what 80 thought leaders in technology, business and academics foresee for companies and industry in the coming year. Karlin, who is Intel's managing director of Internet of Things (IoT) Strategy and Technology, made the prediction that in 2017, artificial intelligence in all its various forms will go mainstream.


The Complexities of Governing Machine Learning

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Today's businesses run on data. It's essential for any corporation to look for insights about their customers based on the data they collect. That collected information drives everything from business strategy to customer service.


All AI Resources at one place

@machinelearnbot

We are trying to put all the AI related resources in one place so that anyone can find their relevant information from this page. The list contains all the resources for beginners, advanced learners as well as for researchers. We will keep updating the list.


Why do we need the Democratization of Machine Learning?

#artificialintelligence

We are living in an era of hype. In this article, I am trying to discover the hype around Artificial Intelligence. The First thing I want to clear is that ML/DL are algorithms, neither conscious nor intelligent or smart machines.


Cybersecurity: is the office coffee machine watching you? 4-Traders

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Troubled by something deeply unethical going on at work? Or maybe you're plotting to leak sensitive information on the company that just sacked you? Either way, you best think twice before making your next move because an all-seeing artificial intelligence might just be analysing every email you send, every file you upload, every room you scan into – even your coffee routine.


Cybersecurity: is the office coffee machine watching you?

The Guardian

Troubled by something deeply unethical going on at work? Or maybe you're plotting to leak sensitive information on the company that just sacked you? Either way, you best think twice before making your next move because an all-seeing artificial intelligence might just be analysing every email you send, every file you upload, every room you scan into – even your coffee routine.


Deep Learning: The Unreasonable Effectiveness of Randomness

#artificialintelligence

The paper submissions for ICLR 2017 in Toulon France deadline has arrived and instead of a trickle of new knowledge about Deep Learning we get a massive deluge. This is a gold mine of research that's hot off the presses. Many papers are incremental improvements of algorithms of the state of the art. I had hoped to find more fundamental theoretical and experimental results of the nature of Deep Learning, unfortunately there were just a few. There was however 2 developments that were mind boggling and one paper that is something I've been suspecting for a while now and has finally been confirm to shocking results. It really is a good news, bad news story.


Putting Artificial Intelligence to Profitable Use

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Having lavished millions of dollars on data scientists to search for patterns in a deluge of digital information, banks and financial institutions need to start doing something to make that newfound intel pay.