Analytics Vidhya
MARCH 31, 2019
Introduction What’s the first thing you do when you’re attempting to cross the road? We typically look left and right, take stock of the. The post Computer Vision Tutorial: A Step-by-Step Introduction to Image Segmentation Techniques (Part 1) appeared first on Analytics Vidhya.
Dataconomy
APRIL 4, 2019
Data has never been more relevant for understanding consumer behavior. With data scientists in high demand and earning six figures or more a year, this is undeniable. Technology is changing the way that consumers think and behave. By creating experiences that align with consumer demands, business leaders can create profits. The post This Is Your Brain on Data: Marketing in the New Digital Age appeared first on Dataconomy.
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Smart Data Collective
APRIL 2, 2019
Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequate storage.
DataRobot
APRIL 4, 2019
Humans and AI have more in common than you may think. How? In this AI Simplified video, Colin Priest explains that just as human beings benefit from diversity on teams of employees, diversity is also important to AI. Diversity brings together different perspectives, experiences, and ideas, which leads to better solutions and results. Don’t limit yourself or your business by relying on one answer or one algorithm.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
APRIL 3, 2019
Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.
Dataconomy
APRIL 4, 2019
Virtual radio access networks (vRANs) represent the next stage of network virtualization and present a new use case for edge datacentres in mobile infrastructures. Implementations based on open source are currently being introduced, primarily in 4G LTE networks. Test environments for 5G mobile networks exist already. Radio access networks comprise. The post Virtual RANs Simplify Administration and Increase Flexibility appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Victor Zhou
APRIL 1, 2019
When I started this blog, I used Disqus for comments on posts. This was a natural choice: I’d seen sites use Disqus all over the internet, it was easy to setup, and they had a free tier. I happily integrated Disqus and moved on. Here’s the thing: I’ve always known that using Disqus came at the cost of some page bloat. I’ve written about web performance before and generally strive to make my pages fast, but I just assumed having Disqus was worth the bit of extra weight.
ML Review
MARCH 31, 2019
Are the machine learning models we use intrinsically flawed? What are adversarial attacks? In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input. Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing.
DataCentric podcast
APRIL 1, 2019
This week Matt & Steve talk through some of what they learned at recent industry events, including the moves that NVIDIA is making into the data center, some discussion of containers in the enterprise, a brief wrap-up from Nutanix's investor conference in New York, some light-thinking following Matt's first missed Open Compute Summit in a decade, and a bit of non-political discussion on Huawei.
Smart Data Collective
APRIL 5, 2019
Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. It gives brands better insights into their customer behavior, which helps them reach them more effectively. Social listening tools are a prime example of this application. The Complex Role Between Big Data and Social Listening Tools. Social media is a critical piece of the marketing puzzle for every brand today, regardless of the industry you’re in.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Smart Data Collective
APRIL 5, 2019
A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way. The property industry is one of the best examples of an industry that is using data analytics to its advantage.
Smart Data Collective
APRIL 1, 2019
Big data has improved transparency of social media sites. You can now download your personal data from them, which allows you to see what records are retained. Data on your photos, videos, comments, profile details and connections can be stored. Although users can get access to their data, there are still some things that social media networks need to do better.
Smart Data Collective
APRIL 2, 2019
Machine learning is having a major impact on countless industries across the globe. The energy sector is a prime example. The energy and utilities sector is essential to the global economy. The production and consumption of energy resources is imperative for powering nations and business sectors, including transportation and manufacturing. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways.
Smart Data Collective
APRIL 3, 2019
Given blockchain’s impressive new prominence in the marketplace, it’s of little surprise that so many people are finally discussing the myriad of ways in which it can positively disrupt the market. Most conversations surrounding blockchain technology have often centered around its security applications, particularly since the decentralized nature of it threatens to upend traditional understandings of information security.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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