Most of us start working with specific programming languages like TensorFlow and Pyspark
So, we are relatively not so used to working with Cloud APIs.
But Cloud APIs for Machine Learning and Deep Learning can make your life a lot easier in building AI and Machine Learning services
Of course, the Cloud APIs have a cost – but they…Continue
What does it mean, as a vendor, to say that you support the Internet of Things (IOT) from an analytics perspective?
I think the heart of that question really boils down to this:
What are the differences between big data(which is analyzing large amounts of mostly human-generated data to support longer-duration use cases such as predictive maintenance, capacity planning, customer 360 and revenue protection) and…Continue
Added by Bill Schmarzo on January 5, 2019 at 1:00pm — No Comments
Is innovation an artisanal feat? Can innovation be weighed, measured on a scale, and optimized like a production operation? Can the use of data analytics disrupt creativity as it has done in other business functions? As an innovation consultant specialized in data science, I see the power of data and creativity going hand-in-hand every day. To understand how this happens, we will have to start with the evolution of innovation analytics.
Early life of innovation…Continue
Added by Ramon Serrallonga on January 4, 2019 at 11:30pm — No Comments
Measuring the similarity between texts is a common task in many applications. It is useful in classic NLP fields like search, as well as in such far from NLP areas as medicine and genetics. There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only…Continue
Added by Igor Bobriakov on January 4, 2019 at 12:30am — No Comments
Edmond de Bellamy, from La Famillie de Bellamy created by Obvious, a French group; was auctioned and sold for $432,500 at Christie´s, a British auction house. The big difference with this painting is how it was created. It was not created with brushes, pigments, canvas, paper or even a painter. The secret of this painting is the use of…Continue
Added by Mauricio Mani on January 3, 2019 at 8:00pm — No Comments
As data people, we very typically spend a great deal of time summarizing our findings to stakeholders in a clear, concise and impactful way. Often times, due to the lack of infrastructure, we end up using presentation files with chart images. This can become a real pain when we need to make modifications or when the analysis needs to “live on”. Typically, this is where BI (business intelligence) or dashboard tools shine. Unfortunately,…Continue
Added by Laura Ellis on January 3, 2019 at 7:30pm — No Comments
The article “Cognitive Hub: The Future of Work” and the supporting infographic (see Figure 1) provides an interesting perspective on some “technology combinations” that could transform the workplace of the future, all enabled by Artificial Intelligence (AI):
Added by Bill Schmarzo on January 3, 2019 at 5:14pm — No Comments
Data scientists and predictive modelers often use 1-D and 2-D aggregate statistics for exploratory analysis, data cleaning, and feature creation. Higher dimensional aggregations, i.e., 3 dimensional and above, are more difficult to visualize and understand. High density regions are one example of these N-dimensional statistics. High density regions can be useful for summarizing common characteristics across multiple variables. Another use case is to validate a forecast prediction’s…Continue
Added by Rohan Kotwani on January 3, 2019 at 4:00pm — No Comments
Big players in the media and entertainment market every day face new challenges of the digital reality. The customers tend to search for the service that may be available at any time and any place regardless of the circumstances. This sphere becomes more and more competitive every day.…Continue
Added by Igor Bobriakov on January 3, 2019 at 10:32am — No Comments
Here is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on January 3, 2019 at 10:30am — No Comments
Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address the Google Static Map API service issues!
Tutorial Link: https://www.littlemissdata.com/blog/maps…Continue
Added by Laura Ellis on January 2, 2019 at 2:24pm — No Comments
This article was written by Hunter Heidenreich.
Looking into what a generative adversarial network is to understand how they work.
Added by Andrea Manero-Bastin on January 2, 2019 at 9:30am — No Comments
Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.
There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…Continue
Added by Chandra Shekhar on January 1, 2019 at 11:00pm — No Comments
Data is rampant in the Internet of Things (IoT) Age, during which the exponential growth of data has outpaced the capacity of traditional computing. It has reached maturity in some stages, but it is in adolescence in new stages. With the advent of Big Data, businesses are merging it with big compute and IoT for analytics using Artificial Intelligence (AI). After the raw input from the big data gets cleaned, structured, and unified, AI performs cognitive functions and outputs values for the…Continue
Added by Ankur Patel on January 1, 2019 at 8:57pm — No Comments
Every business challenge that is to be solved with a data-driven decision has a data universe behind it. This data universe is the set of data that could be captured that is linked to the business challenge.
A data universe is formed by information and noise: Information is data that can be transformed into knowledge; noise is data from which no…Continue
Added by Ramon Serrallonga on January 1, 2019 at 6:36am — No Comments