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Python only no more, IPython becomes Jupyter

Python only no more, IPython becomes Jupyter

This article explained very well Ipython and jupyter and it clarified much in installing sklearn. I was researching on installing sklearn for Machine Learning, however found various resources, but most these were extraordinarily complicated. The least time consuming and simplest resource was Anaconda. I installed Anaconda, which automatically [...]

Machine Learning Vrs Data Mining

Machine Learning Vrs Data Mining

• I was researching on some authenticated source explaining difference between Machine Learning and Data Mining and came across a Power point presentation on this topic by Stan Matwin, Professor at University of Ottawa. Link is provided at the end for complete presentation. . Machine Learning: – given a certain task, and a data set [...]

Next generation of machine learning rockstars will trade Google and Facebook for top secret hedge funds

Next generation of machine learning rockstars will trade Google and Facebook for top secret hedge funds

We are on the cusp of an exponential shift in machine learning, the ability of a computer to automatically refine its methods and improve its results as it receives more data. For the last couple of years, technology giants such as Google, IBM and Microsoft have been in an arms race to construct artificial neural networks that mimic the human [...]

Machine learning models need love, too

Machine learning models need love, too

A shining city on a hill is a sight to behold. But you wouldn’t admire it so much if the city stopped maintaining its roads, electrical blackouts grew more frequent, electricity grew intermittent, and those gorgeous buildings started to fade under thick coats of grime. Modern businesses are building their shiny new applications on a [...]

3 Flavors of Machine Learning: Who, What & Where

3 Flavors of Machine Learning: Who, What & Where

Great article on the effective usage of Machine Learning which emphasized on domain knowledge and common sense approach To get beyond the jargon of ML, you have to consider who (or what) performs the actual work of detecting advanced attacks: vendor, product or end-user. The great promise machine learning holds for the security industry is its [...]

The Most Unresolved Problem In Machine Learning

The Most Unresolved Problem In Machine Learning

A: Unsupervised learning. In particular, what objective function should we use? Maximizing likelihood of the observed data, or even of future observed data, seems like the wrong thing to aim for. Consider, for example, predicting every pixel in the next N frames of video. Do we care about the exact intensity values? No, we care about predicting [...]

Meet the 10 machine learning and data science startups in Microsoft’s Seattle Accelerator

Meet the 10 machine learning and data science startups in Microsoft’s Seattle Accelerator

According to the Microsoft Ventures Accelerator Seattle is a mentor-driven program aimed at helping entrepreneurs scale up. Startups accepted to the program will gain access to top business mentors, tech and marketing experts, office space and resources to help them build their company. The 4-month program is focused on improving your startup [...]

The future of predictive analytics and machine learning | #RMWisdom16

The future of predictive analytics and machine learning | #RMWisdom16

By Marlene Den Bleyker | Jan 21, 2016 Dave Vellante and Jeff Frick, cohosts of theCUBE, from the SiliconANGLE Media team, wrapped up the day at RapidMiner Wisdom 2016 in New York City and analyzed the Big Data and analytics ecosystems and where they are headed. A question of profitability Noting that we are out of the “tire-kicking [...]

Peter Lee – RapidMiner Wisdom 2016 – theCUBE – #RMWisdom16

Peter Lee – RapidMiner Wisdom 2016 – theCUBE – #RMWisdom16

From insight to action: What’s next for predictive analytics? | #RMWisdom16 by R. Danes | Jan 21, 2016 Tech wizards and regular business people alike have been “oohing and ahhing” over the insights possible through data mining for years. The question now, according to Peter Lee, president and CEO of RapidMiner (Rapid-I, Inc.), is how can [...]

Python Packages For Datamining

Python Packages For Datamining

As Python is becoming important in view of the popularity of Data Science, I did some research on this language and its capabilities. UdaCity is using Python for on-line machine learning course. I found Python Packages For Datamining a great resource on this topic, It has basically explained Python is easy, efficient and fast language. Moreover [...]

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