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Search results for private cloud

    Found 31 documents, 10916 searched:

  • The Internet of Things in the Cloud

    ...offered through infrastructures (clouds) that are publicly accessible (i.e. public cloud services), but also by privately owned infrastructures (i.e. private cloud services). Furthermore, it is possible to offer services supporting by both public and private clouds, which are characterized as...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • Cloud Computing Key Terms, Explained

    …mpanies to scale their costs as per need. It allows businesses to bypass infrastructural setup costs, which was inevitable prior to the advent of the cloud. Cloud computing mainly makes it possible for companies to get their applications deployed faster, without the need for excessive maintenance,…

    https://www.kdnuggets.com/2016/06/cloud-computing-key-terms-explained.html

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...s company, a leader in the development of Spark, deploys the platform to the public cloud, first. The Spark technology is absolutely suitable for the private cloud too, as we will see in a later section. Leading Hadoop distributors such as Cloudera, Hortonworks and MapR have developed tools for...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

  • Platinum BlogEverything a Data Scientist Should Know About Data Management">Silver BlogPlatinum BlogEverything a Data Scientist Should Know About Data Management

    ...by the cloud service provider. Customers share the cloud infrastructure with other “cloud tenants” and access their services through a web browser. A private cloud is often used by organizations with special security needs such as government agencies and financial institutions. In a private cloud,...

    https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

  • KDnuggets Exclusive: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds”

    ...actors that helped Eucalyptus grow rapidly, even amid intense competition? Marten Mickos: Eucalyptus had (and has) a very sharp focus: AWS-compatible private clouds that are very easy to install, use and operate. That focus allowed the company to grow. AR: Q2. What role do you foresee Eucalyptus...

    https://www.kdnuggets.com/2014/11/interview-marten-mickos-hp-future-hybrid-clouds.html

  • Find Out What Celebrities Tweet About the Most

    …etting tweets from twitter library(twitteR) #Twitter-R Authentication library(ROAuth) #Text processing library(stringr) #Text mining library(tm) #Wordcloud creation library(wordcloud) #Connect to twitter API using the saved credentials load(“twitter authentication.Rdata”)…

    https://www.kdnuggets.com/2017/10/what-celebrities-tweet-about-most.html

  • KDnuggets Interview: Michael Brodie on Data Curation, Cloud Computing, Startup Quality, Verizon (part 2)

    ...enables enterprises to transparently run more compute-intensive workloads on these paid-for but unused resources whether on premises or in public or private clouds, thus reducing costs by 75–93% over acquiring more hardware or cloud resources. Jisto provides a high-performance, virtualized...

    https://www.kdnuggets.com/2014/04/interview-michael-brodie-2-data-curation-cloud-computing-verizon.html

  • Data Science’s Most Used, Confused, and Abused Jargon

    ...azon, Facebook, Azure. The cloud is everywhere. Everything is going to the cloud. Everything lives in the cloud. Even clouds are in the cloud. Public cloud, private cloud, meta-cloud. Does your business have a cloud strategy? Deep Neural Network Theorist: Deep neural networks refer to graphical...

    https://www.kdnuggets.com/2015/02/data-science-confusing-jargon-abused.html

  • PySyft and the Emergence of Private Deep Learning

    ...dividuals whose information may be in a database. Although it does not directly refer to identification and re-identification attacks, differentially private algorithms provably resist such attacks.   PySyft   PySyft is a framework that enables secured, private computations in deep...

    https://www.kdnuggets.com/2019/06/pysyft-emergence-deep-learning.html

  • Age of AI Conference 2018 – Day 2 Highlights

    ...al Examples https://arxiv.org/abs/1704.03453 Adversarial Classification https://homes.cs.washington.edu/~pedrod/papers/kdd04.pdf On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches https://arxiv.org/abs/1708.08022 Semi-Supervised Knowledge Transfer for Deep...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-2.html

  • Key Takeaways from Open Data Science Conference (ODSC) West 2017

    ...isn’t blockchain ready for business? There are two options for building private networks for businesses: (a) Reconfigure a public network fabric for private use, or, (b) Build on top of an untested private network that is available. In either case, there aren’t enough critical features that...

    https://www.kdnuggets.com/2017/11/key-takeaways-open-data-science-conference-odsc-west-2017.html

  • Seven Myths About the True Costs of AI Systems

    ...ture, are not applicable. You still want to be able to scale your hardware on demand, and not rely on traditional IT constructs (see below). It seems private cloud, where your data stays within your firewall, is your best bet. It appears to be an expensive option but is far cheaper once you factor...

    https://www.kdnuggets.com/2019/10/seven-myths-costs-ai-system.html

  • How Docker Can Help You Become A More Effective Data Scientist">Silver BlogHow Docker Can Help You Become A More Effective Data Scientist

    ...s Push your image to DockerHub (or another registry). This is useful if you want to share your work with others, or conveniently save an image in the cloud. Be careful that you do not share any private information while doing this (there are private repos available on DockerHub, too). First create...

    https://www.kdnuggets.com/2018/01/docker-help-become-more-effective-data-scientist.html

  • How I Used CNNs and Tensorflow and Lost a Silver Medal in Kaggle Challenge

    ...of 2,384 teams) of the private leaderboard. Not bad for a single neural network solution, with no ensembling! Figure 3. Late Submission evaluation on Private Leaderboard Figure 4. Submission expected position in the final Private Leaderboard But, overnight, the end came… Inconsistent Deadlines As...

    https://www.kdnuggets.com/2018/05/lost-silver-medal-kaggle-mercari-price-suggestion-challenge-cnns-tensorflow.html

  • Raspberry Pi IoT Projects for Fun and Profit

    ...er/CPU%20Temperature%20-%20IoT%20Project/AWS_Send_test.py After that, type: ESC :wq ENTER This saves the file. Remember to copy rootCA.pem + *.crt + *private.pem.key + *.public.pem.key to your Raspberry to properly access AWS IoT Core. Run the following command to send Raspberry CPU Temperature to...

    https://www.kdnuggets.com/2018/09/raspberry-pi-iot-projects-fun-profit.html

  • KDnuggets™ News 13:n12, May 8

    ...m - Apr 30, 2013. L'equipe "Analytical & Predictive Marketing" joue un role cle au coeur du departement marketing de BNP Paribas Fortis Retail et Private Banking. Het team Analytical and Predicitve Marketing speelt een belangrijke rol binnen het marketing departement van Retail and Private...

    https://www.kdnuggets.com/2013/n12.html

  • Data Mining / Analytic News Briefs, Jun 2013

    ...hich is end user value. SiSense first In-Chip Analytics Solution in the Cloud - Jun 19, 2013. SiSense makes Terabyte-range analytics workloads in the Cloud easy and affordable, with costs as low as $1/TB per hour. SiSense will work with Rackspace to reduce cost and complexity from Big Data Cloud...

    https://www.kdnuggets.com/2013/06/news-briefs.html

  • KDnuggets™ News 14:n30, Nov 19

    ...10, 2014. iMathResearch presents its first tool for big data analysis, offering easy access to computational tools, a simple Python-based interface, cloud-based collaboration, and private computational instances. Opinions Why Azure ML is the Next Big Thing for Machine Learning? - Nov 17, 2014....

    https://www.kdnuggets.com/2014/n30.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ...Israel): IBM created this accelerator with the goal in mind of fostering long-term technology and business partnerships with smaller companies in the Cloud, Big Data & Analytics and IoT space. They have another partnership in place with Becton, Dickinson and Company to jointly select up to 3...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • Avoiding Tunnel Vision in Peer Comparisons

    …he church-owned hospitals in the mid-Atlantic. 2. Macalester College in Saint Paul, MN has the highest total student-service expenses of any big-city private college that doesn’t offer graduate degrees. Note the peer groups: (1) church-owned; mid-Atlantic; and (2) big-city; private; doesn’t offer…

    https://www.kdnuggets.com/2015/11/onlyboth-avoiding-tunnel-vision-peer-comparisons.html

  • Big Data Could Revolutionize Healthcare. Will We Let it?

    ...he opportunity. In addition, with wearables fast becoming a part of our lives, we are in any case putting increasing amounts of information into the “cloud” about our personal lives. In terms of practicality and functionality, the healthcare revolution may not happen overnight, but a more...

    https://www.kdnuggets.com/2015/01/big-data-revolutionize-healthcare.html

  • Why Go Long on Artificial Intelligence?

    ...to conduct experiments, build, deploy and scale AI technology are rapidly being democratised. Finally, significant capital and talent is flowing into private companies to enable new and bold ideas to take flight. The time is now for AI. We’re poised to see real value creation in 2017 and beyond....

    https://www.kdnuggets.com/2017/02/long-artificial-intelligence.html

  • Top Machine Learning Software Tools for Developers">Gold BlogTop Machine Learning Software Tools for Developers

    ...the syntax tree derived from publicly available code. However, it does have some differences. Codota is built for Kotlin and Java languages. It is a cloud-based solution that generates smart auto predictions. It is worth noting that Codota owners stated that user data is not transmitted to their...

    https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

  • KDnuggets™ News 13:n03, Feb 13

    ...nies to work for" is led by Google and SAS, but there are relatively few other analytics-related companies on the list. Why is that? SiSense Big Data Cloud offering, support for Windows Azure - Jan 30, 2013. Microsoft and SiSense team up to offer Big Data Analytics in the cloud. CFP - Calls for...

    https://www.kdnuggets.com/2013/n03.html

  • McDowell Interview: PASS Business Analytics Conference, Microsoft Data Mining

    ...the Azure Marketplace is that Microsoft refuses to quit with just making more datasets accessible, they are committed to offering increasingly robust cloud-based tools to perform analysis with Azure and private datasets. Another space to keep your eye on Microsoft's activity. 9. What brought you to...

    https://www.kdnuggets.com/2013/03/mcdowell-interview-pass-business-analytics-conference-microsoft-data-mining.html

  • Best Masters in Data Science and Analytics in US/Canada

    ...ll tuition, CS Rank: 125) Indiana University Bloomington's MS in Data Science. With a broad range of courses available on topics such as data mining, cloud computing, health and medicine, cybersecurity, high-performance computing, machine learning, and artificial intelligence, you can tailor your...

    https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

  • Introducing R-Brain: A New Data Science Platform

    ...flexible, powerful user interface. Since it uses popular Docker container technology, this solution can be deployed on-premises or on your preferred cloud platform. Data gurus can develop, package, share and publish analytics workspaces, data sets and applications that use R, Python, Structured...

    https://www.kdnuggets.com/2017/10/r-brain-new-data-science-platform.html

  • Using AI to Identify Wildlife in Camera Trap Images from the Serengeti

    ...umes of images so using a fast neural network framework with strong GPUs in the backend was a must. We were provisioning virtual machines from Google Cloud Platform equipped with sufficiently powerful GPUs (ranging from Tesla K80 to Tesla V100 for the most heavy lifting). Typically we were running...

    https://www.kdnuggets.com/2020/02/using-ai-identify-wildlife-images-serengeti.html

  • Interview: Reiner Kappenberger, HP Security Voltage on Data-Centric Security for Big Data

    ...mbat new security threats and address compliance by protecting structured and unstructured data as it is used across data centers, public and private clouds and mobile devices. We were founded in 2002 with the vision of commercializing identity-based encryption (IBE), and that’s how HP SecureMail...

    https://www.kdnuggets.com/2015/07/interview-reiner-kappenberger-hp-security-voltage-big-data.html

  • KDnuggets™ News 14:n26, Oct 8

    ...achine Learning: R, Python, MATLAB - when yo use what; Analyzing Ebola - Is it spreading at exponential rate?; 31,000 people/hour are joining the new private social network Ello; Booking: Data Scientist. Top KDnuggets tweets, Oct 1-2 - Oct 3, 2014. R wizard Hadley Wickham "Advanced R" book online;...

    https://www.kdnuggets.com/2014/n26.html

  • Gregory Piatetsky-Shapiro

    ...Shapiro in the Media See also KDnuggets Awards and Honors. Gregory Piatetsky-Shapiro Shares His Insights on Data Science and Machine Learning, Prompt Cloud, Dec 2018. Anticipating the next move in data science, Interview with Thomson Reuters, Nov 2018. Citizen Data Scientists | Why Not AutoML & DIY...

    https://www.kdnuggets.com/gps.html

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