Analytics Vidhya
JUNE 19, 2019
Overview Check out Google AI’s best paper from ICML 2019 There is a heavy focus on unsupervised learning in Google AI’s paper We have. The post Simplifying Google AI’s Best Paper at ICML 2019 on Unsupervised Learning appeared first on Analytics Vidhya.
Dataconomy
JUNE 20, 2019
Here is what a recent report says about opportunities for startups in Sports Technology in Europe. With 1500 startups and 900 new investment deals, it is safe to say that the field is vast and possibilities in the sector are booming. What is a SportsTech startup? How are these startups. The post What are the SportsTech opportunities in Europe? appeared first on Dataconomy.
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Smart Data Collective
JUNE 17, 2019
Big data is changing the nature of the world we live in. It has created a number of new forms of smart technology, which are simplifying our lives in wonderful ways. The classic example is with smart homes. You can probably remember watching movies about smart houses on the Disney Channel and other networks over the past 30 years. However, they are finally coming to live, largely due to new big data technology.
DataRobot
JUNE 18, 2019
In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand. The technology they invented, automated machine learning, allowed organizations to scale data science capacity by teaching machines to perform much of the tedious and time-consuming work for a data scientist while also giving them access to hundreds of different algorithms.
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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
JUNE 18, 2019
Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.
Christian Haschek
JUNE 16, 2019
I was looking for a method to keep the plants happy without spending too much money on irrigation
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
JUNE 20, 2019
Today we announced the exciting news that DataRobot acquired ParallelM , the leader in machine learning operations (MLOps).
Analytics Vidhya
JUNE 16, 2019
Introduction First – a HUGE thank you to our community for the wonderful response to the first issue of our exclusive AI comic – The post The AI Comic: Z.A.I.N – Issue #2: Facial Recognition using Computer Vision appeared first on Analytics Vidhya.
DataCentric podcast
JUNE 19, 2019
HPE Discover kicks off with an overwhelming list of themes focused around software-defined, multi-cloud, intelligent edge, and, of course, the stars of the show: Storage and HCI. Hosts Matt Kimball & Steve McDowell provide a high-level recap of all the happenings, and contextualize the announcements. You won't want to miss it! HPE Launches Primera high-end storage.
Smart Data Collective
JUNE 17, 2019
Big data is changing the nature of app development in several major ways. Some of the new practices include: Developing a strategy for aggregating consumer data. Ensuring the app is compliant with GDPR and other data privacy protocols. Integrating your monetization strategy into your new app. Since big data has increased the complexity of app development, you need a clearly outlined strategy.
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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
JUNE 17, 2019
The fact is phrases like “analyst” and “computer engineer” mean different things today than they did just a generation ago. Hardly anybody needs reminding, but computers and information technology move incredibly quickly these days. Whether you’ve got both feet in this world on a professional basis, or you’re an out-of-practice programmer wondering where things are headed, or you’re a CEO or CTO and you want to know what kinds of tech are worth the inves
Smart Data Collective
JUNE 19, 2019
Are you frustrated by an increase in the quantity of the data that your organization handles? Well, you aren’t alone! Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon.
Smart Data Collective
JUNE 18, 2019
Big data is a very important part of any digital marketing strategy. There are a number of reasons that machine learning, data analytics and Hadoop technology are changing SEO: Machine learning is becoming more widely used in search engine algorithms. SEOs that use machine learning can partially reverse engineer these algorithms. Big data helps SEO companies discover new linkbuilding opportunities and other venues for boosting their SERPs.
Smart Data Collective
JUNE 20, 2019
. My colleagues and I at Smart Data Collective have written extensively about the benefits of big data in fields like marketing, hospitality and cybersecurity. We sometimes realize that we need to discuss the implications of big data for other fields as well. Technical writing is one field that is highly affected by advances in big data , but does not get discussed very often.
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.
Smart Data Collective
JUNE 20, 2019
. Future traders need to always be on their game. They should use the latest technology to have a competitive edge in the market. New technology has always been at the forefront of the financial industry. Computers have always played an important role in improving the efficiency of financial markets. In many ways, this has been beneficial. In other ways, it has created new risks.
DataCentric podcast
JUNE 19, 2019
Joining the podcast this week is Gary Thome, HPE's vice president and chief engineer within the Converged Datacenter Infrastructure business. Moor Insights & Strategy analysts Matt Kimball and Steve McDowell talk to Gary to gain a deeper understanding of what converged infrastructure is, and how it fits into modern IT architecture. It's a fascinating conversation that will help you better understand what's happening in this new world Thank you to Gary for taking the time to talk
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