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Why Businesses are Leaning towards Machine Learning … 

Many companies are slowly waking up each day to the smell of a new coffee. It's called Machine Learning! Machine Learning is here to stay. It is expected to influence every aspect of life, including the way business decisions will be made in future. It's already happening. Machine Learning phenomenon: Machine Learning is a shortcut for machines or systems to learn the way decisions are made in life, which a ...

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Experts on the Pros and Cons of Algorithms | Pew Research Center

Code-Dependent: Pros and Cons of the Algorithm Age Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment (filistimlyanin/iStock.com) A ...

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Essential Differences between Deep Learning and Conventional Neural Network 

There has been a resurgence in interest in Neural Network since 2006, because of some breakthroughs known collectively as Deep Learning. A Deep Learning based solution uses deep neural network with multiple hidden layers. However, the learning techniques are different from conventional neural networks. Key Differences Conventional Neural Network A conventional neural network, uses back propagation of error ...

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4 challenges Artificial Intelligence must address

4 challenges Artificial Intelligence must address If news, polls and investment figures are any indication, Artificial Intelligence and Machine Learning will soon become an inherent part of everything we do in our daily lives. Backing up the argument are a slew of innovations and breakthroughs that have brought the power and efficiency of AI into various fields including medicine, shopping, finance, news, f ...

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Stop overdoing it when cleaning your big data – TechRepublic

Stop overdoing it when cleaning your big dataEnough is enough--your big data might actually be getting too clean. Find out why it can be useful to keep bad, garbage data.When you got a job as a data scientist, I bet you didn't imagine you'd spend so much time cleaning up bad data. Don't feel badly—none of us did.When data science rolled on the scene, many of us who were already in the data warehousing and b ...

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Yahoo supercharges TensorFlow with Apache Spark 

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new project called TensorFlowOnSpark. The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters. Fo ...

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IoT And Big Data At Caterpillar: How Predictive Maintenance Saves Millions Of Dollars

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.  So it’s refreshing to share a story of an organization delivering real-world ROI for their customers by vastly ramping up their data collection and predictive maintenance analytics. The Marine Division of Cat ...

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Research Blog: Using Machine Learning to predict parking difficulty

"When Solomon said there was a time and a place for everything he had not encountered the problem of parking his automobile." -Bob Edwards, Broadcast Journalist Much of driving is spent either stuck in traffic or looking for parking. With products like Google Maps and Waze, it is our long-standing goal to help people navigate the roads easily and efficiently. But until now, there wasn’t a tool to address th ...

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Beyond vectors: efficiency in Natural Language Processing

NYU MSDS student Raul Delgado Sanchez talks diffusion maps When you text a friend saying ‘I’ll fall you later’, how does your iPhone know to correct ‘fall’ to ‘call’? Auto-correct owes its prowess to a field that continues to gain paramount importance among computer scientists, and is an especially lively area of study at our very own Center for Data Science: Natural Language Processing (NLP). Generally spe ...

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SAPVoice: How to Solve IoT’s Big Data Challenge with Machine Learning

Machine learning will come of age this year, moving from the research labs and proof-of-concept implementations to cutting-edge business solutions. Along the way, it will help power innovations, such as autonomous vehicles, precision farming, therapeutic drug discovery and advanced fraud detection for financial institutions. Machine learning intersects with statistics, computer science and artificial intell ...

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