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Search results for aws

    Found 99 documents, 11350 searched:

  • Deploy Machine Learning Pipeline on AWS Fargate">Gold BlogDeploy Machine Learning Pipeline on AWS Fargate

    ...ker build -t pycaret-deployment-aws-repository .Command 3 docker tag pycaret-deployment-aws-repository:latest 212714531992.dkr.ecr.ca-central-1.amazonaws.com/pycaret-deployment-aws-repository:latestCommand 4 docker push...

    https://www.kdnuggets.com/2020/07/deploy-machine-learning-pipeline-aws-fargate.html

  • IoT on AWS: Machine Learning Models and Dashboards from Sensor Data

    ...se and then to AWS ElasticSearch, and finally to Kibana, a near real-time dashboard. You can opt to clean and extract data with Lambda (or not) using AWS IoT as input and AWS Batch as output to connect with Kinesis. Anyway, Kibana is able to interpret your JSON file. First we must set up another...

    https://www.kdnuggets.com/2018/06/zimbres-iot-aws-machine-learning-dashboard.html

  • Get a headstart with Looker and 1K credits for your AWS data warehouse

    ...of your AWS usage. In minutes, build workflows to monitor AWS log data, identify opportunities to improve performance, and isolate levers to optimize AWS spending. Looker AWS Optimization Suite of blocks include: Security and Monitoring - track and monitor high-level AWS usage and drill into event...

    https://www.kdnuggets.com/2018/04/looker-headstart-1k-credits-aws.html

  • Build Dog Breeds Classifier Step By Step with AWS Sagemaker

    ...teway. In this post I’ll take you through the basic steps for how to do this using a project I created for AICamp’s class Full Stack Deep Learning in AWS. For this project I did everything from the AWS Management Console. My project GitHub site is here: Dog breed identification from images, and it...

    https://www.kdnuggets.com/2020/06/build-dog-breeds-classifier-aws-sagemaker.html

  • Best Deals in Deep Learning Cloud Providers: From CPU to GPU to TPU

    ...300 initial credit and don’t mind some configuration. If you scale, their pricing, security, server options, and ease of use make them a frontrunner. AWS AWS EC2 is not the easiest thing to configure, but it is so popular that every deep learning practitioner should go through the configuration...

    https://www.kdnuggets.com/2018/11/deep-learning-cloud-providers-cpu-gpu-tpu.html

  • Why do we need AWS SageMaker?

    ...demands elastically. With the succinct question framed and answered, we can now come to the final question. What platform works best for me? source: AWS Here, I can say, AWS Sagemaker fits best for us. It provides Jupyter NoteBooks running R/Python kernels with a compute instance that we can...

    https://www.kdnuggets.com/2019/06/why-need-aws-sagemaker.html

  • Deploying Secure and Scalable Streamlit Apps on AWS with Docker Swarm, Traefik and Keycloak

    ...this later in the tutorial.   Step 1: Setting up the manager node   There are many cloud computing providers. In this tutorial, I will use AWS EC2 but the following steps can be easily implemented in other platforms. First, please refer to this post for launching an AWS EC2 instance if...

    https://www.kdnuggets.com/2020/10/deploying-secure-scalable-streamlit-apps-aws-docker-swarm-traefik-keycloak.html

  • Understanding Cloud Data Services">Gold BlogUnderstanding Cloud Data Services

    ...ponents, and offerings. To facilitate discussion we provide an end-to-end taxonomy for big data systems and show how the three leading Cloud Vendors (AWS, Azure and GCP) align to the model: Amazon Web Services (AWS) Microsoft Azure (Azure) Google Cloud Platform (GCP)   Applying a Common...

    https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

  • Get a headstart with Looker – and $1,000 credits towards your AWS data warehouse

    ...vestments by helping you use data to understand how to improve performance and optimize resources. Looker is a data platform that sits on top of your AWS data warehouse. It integrates natively with the entire AWS data ecosystem, from Amazon Redshift, Aurora, Amazon Athena to EMR. With Looker's...

    https://www.kdnuggets.com/2018/04/looker-headstart-credits-aws-data-warehouse.html

  • Deploying a pretrained GPT-2 model on AWS

    ...amples of this technology. Nevertheless, I thought this could be a nice exercise to brush up my rusty NLP knowledge and combine it with some fun with AWS.   Deploying with Lambda, EC2, and DynamoDB   As shown above, the AWS architecture I implemented is relatively straightforward. By...

    https://www.kdnuggets.com/2019/12/deploying-pretrained-gpt-2-model-aws.html

  • Modernize your data infrastructure with Looker + AWS

    ...ove performance and optimize resources using Looker + AWS and Amazon Redshift We'll walk you through Lookers extensive pre-built analytics models for AWS data We will demo a workflow for monitoring AWS Cloudtrail logs that you can implement today As a bonus, if you like what you see and want to try...

    https://www.kdnuggets.com/2018/04/looker-modernize-data-infrastructure-aws.html

  • DynamoDB vs. Cassandra: from “no idea” to “it’s a no-brainer”

    ...ght partition keys to avoid them getting hot, which can be excruciating. c) Cross-region replication. You may think that having your data in only one AWS region won’t do you good, which is why you’ll have to do cross-region replication. So, you’ll need global tables which, as AWS claims, ‘don’t...

    https://www.kdnuggets.com/2018/08/dynamodb-vs-cassandra.html

  • 3 Levers for Getting the Most Out of Amazon Redshift and AWS, Aug 29

    ...rformance. Innovative companies, such as Heroku are overcoming these challenges by developing a combination of automation and ad hoc exploration with AWS to provide a simple and elegant solution for their end users. In this webinar, you will learn: Recommendations for optimizing your Amazon...

    https://www.kdnuggets.com/2017/08/looker-heroku-amazon-redshift-aws.html

  • Cookiecutter Data Science: How to Organize Your Data Science Project">Gold BlogCookiecutter Data Science: How to Organize Your Data Science Project

    ...committed into the version control repository. Here's an example: # example .env file DATABASE_URL=postgres://username:password@localhost:5432/dbname AWS_ACCESS_KEY=myaccesskey AWS_SECRET_ACCESS_KEY=mysecretkey OTHER_VARIABLE=something Use a package to load these variables automatically. If you...

    https://www.kdnuggets.com/2018/07/cookiecutter-data-science-organize-data-project.html

  • Rapidly Build and Run Apache Spark Applications in the Cloud with StreamAnalytix on AWS Marketplace

    ...and operationalize Apache Spark applications (up-to 10x faster vs. hand-coding), while working with single or multiple Spark nodes. StreamAnalytix on AWS Marketplace further simplifies Spark development in the cloud, making it easy for existing enterprise teams to build applications instantly with...

    https://www.kdnuggets.com/2019/03/impetus-apache-spark-applications.html

  • Benchmarking Big Data SQL Platforms in the Cloud

    ...ll 104 queries. Configuration Tuning: We ran the benchmark using out-of-the-box configuration on Databricks, and with additional manual tuning on the AWS cluster. We initially ran this benchmark on the competing platform using its default configurations but found the performance to be below our...

    https://www.kdnuggets.com/2017/09/databricks-benchmarking-big-data-sql-platforms-cloud.html

  • Raspberry Pi IoT Projects for Fun and Profit

    ...*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 AWS: python AWS_Send_0.py -e a23312345.iot.us-east-1.amazonaws.com -r rootCA.pem -c 123412345-certificate.pem.crt -k 12345-private.pem.key -id...

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

  • Amazon Machine Learning: Nice and Easy or Overly Simple?

    …lytics by making powerful Machine Learning tools available and operational in a very short timeframe. A large portion of the Internet already runs on AWS many services. AWS move to add a Machine Learning offering to the mix will allow engineers to include predictive analytics capabilities into…

    https://www.kdnuggets.com/2016/02/amazon-machine-learning-nice-easy-simple.html

  • Cloud Computing Key Terms, Explained

    …uto-scaling feature allows developers to dynamically adapt to changes in requirements. 10. Amazon Simple Storage Service (S3) This is again a part of AWS that allows for the storage and backup of data on the cloud. It offers highly scalable, unlimited archiving and backup option for the users of…

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

  • Top KDnuggets tweets, Sep 26 – Oct 2: Why building your own Deep Learning Computer is 10x cheaper than AWS; 6 Steps To Write Any Machine Learning Algorithm

    ...is 10x cheaper than AWS https://t.co/tbr9KHkAhs https://t.co/eW5bNfEgyw Most Viewed: Why building your own Deep Learning Computer is 10x cheaper than AWS https://t.co/tbr9KHkAhs https://t.co/eW5bNfEgyw Most Clicked: New Book: Math for #MachineLearning This ebook explains the math involved and...

    https://www.kdnuggets.com/2018/10/top-tweets-sep26-oct02.html

  • Spotlight: RapidMiner New Predictive Analytics Platform-as-a-Service

    ...ng of models, processes and more. With the PaaS offering, we are adding benefits such as rapid provisioning, managed hosting and a fast connection to AWS databases such as Relational Database Services (RDS). GP: Q4. Tell us more about the pricing model? How much can it cost to build 1000 models on...

    https://www.kdnuggets.com/2014/05/spotlight-rapidminer-new-predictive-analytics-platform-as-a-service.html

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

    ...tical success factors 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...

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

  • How to Put Active Learning to Work for Your Enterprise

    ...the promise of machine learning across nearly every industry. But choosing the right machine learning strategy can be a challenge. We partnered with AWS to bring you an eBook to help you choose the right machine learning strategy for your project. How to Put Active Learning to Work for Your...

    https://www.kdnuggets.com/2018/09/figure-eight-active-learning-work-your-enterprise.html

  • Top KDnuggets tweets, Oct 16-17: Data Science Toolkit on AWS Marketplace; How to Interview a Data Scientist

    ...tel: Applied Data Scientist, Graph Analytics, Big Data Analytics, Large-Scale Machine Learning bit.ly/1byWzVo Most Retweeted: Data Science Toolkit on AWS Marketplace, run bulk geocoding, sentiment analysis, entity extraction, and more amzn.to/17KMYqo Most Favorited: Data Scientist Heaven: rPython -...

    https://www.kdnuggets.com/2013/10/top-kdnuggets-tweets-oct-16-17.html

  • KDnuggets™ News 20:n26, Jul 8: Speed up Your Numpy and Pandas; A Layman’s Guide to Data Science; Getting Started with TensorFlow 2

    ...Data Science Workflow Getting Started with TensorFlow 2 Feature Engineering in SQL and Python: A Hybrid Approach Deploy Machine Learning Pipeline on AWS Fargate   News 5th International Summer School 2020 on Resource-aware Machine Learning (REAML) Innovating versus Doing: NLP and CORD19 Lynx...

    https://www.kdnuggets.com/2020/n26.html

  • Top Stories, Jun 29 – Jul 5: Speed up your Numpy and Pandas with NumExpr Package; Deploy Machine Learning Pipeline on AWS Fargate

    ...Feature Engineering in SQL and Python: A Hybrid Approach An Introduction to Statistical Learning: The Free eBook Deploy Machine Learning Pipeline on AWS Fargate Data Cleaning: The secret ingredient to the success of any Data Science Project Most Shared Last Week Deploy Machine Learning Pipeline on...

    https://www.kdnuggets.com/2020/07/top-news-week-0629-0705.html

  • Murmuration: Data Engineer [New York, NY]

    ...rts. The Data Engineer would work with our Senior Data Engineer and use a variety of leading database technologies (AWS Redshift, MongoDB) and tools (AWS EC2, AWS S3, Python) to process and store our existing data. The role calls for expertise in managing AWS resources and maintaining and expanding...

    https://www.kdnuggets.com/jobs/19/05-22-murmuration-data-engineer.html

  • Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Silver BlogUnderstanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

    ...stances and ready-to-use Deep learning dedicated environments so that you can start working on your projects really fast. If you're not familiar with AWS you can look at these two posts: https://blog.keras.io/running-jupyter-notebooks-on-gpu-on-aws-a-starter-guide.html...

    https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html

  • Spark Summit 2015 San Francisco – Day 2 Keynote Highlights

    ...rs such as Washington Post, Gumgum, etc. using Spark in production with Amazon EMR. He also announced availability of a new Spark on EMR service from AWS. Doug Wolfe, Chief Information Officer, Central Intelligence Agency delivered an impressive talk giving an overview of CIA’s key IT requirements...

    https://www.kdnuggets.com/2015/06/spark-summit-2015-keynote-highlights-day2.html

  • Using DC/OS to Accelerate Data Science in the Enterprise

    ...with GPU instances for training neural networks. There is one caveat here, that you have enough GPU instances authorized via Amazon’s service limits. AWS Service Limits define how many AWS resources you can use in any given region. The default GPU instance allocation is zero, and it can take a day...

    https://www.kdnuggets.com/2019/10/dc-os-accelerate-data-science-enterprise.html

  • 7 Resources to Becoming a Data Engineer">Gold Blog7 Resources to Becoming a Data Engineer

    ...ame, AWS Certified Data Analytics – Specialty. Because this certification is for advanced users, it requires you to have a few years experience using AWS and having other certifications such as AWS Certified Cloud Practitioner   7. The Data Engineering Cookbook - Andreas Kretz Level:...

    https://www.kdnuggets.com/2020/01/resources-become-data-engineer.html

  • Top KDnuggets tweets, Oct 16-17: Data Science Toolkit on AWS Marketplace; How to Interview a Data Scientist

    ...tel: Applied Data Scientist, Graph Analytics, Big Data Analytics, Large-Scale Machine Learning bit.ly/1byWzVo Most Retweeted: Data Science Toolkit on AWS Marketplace, run bulk geocoding, sentiment analysis, entity extraction, and more amzn.to/17KMYqo Most Favorited: Data Scientist Heaven: rPython -...

    https://www.kdnuggets.com/2013/10/top-tweets-oct16-17.html

  • Does More Data Make Your System Smarter? Ontotext Webinars, June 23, July 7

    ...ou how pouring more data to your system can actually make it smarter. Book Your Seat   Improving Content Discovery and Recommendation with Cloud AWS Thursday, July 7, 2016 11am EDT | 4pm BST | 6pm EEST We will show you how to quickly prototype with Ontotext's Dynamic Semantic Publishing...

    https://www.kdnuggets.com/2016/06/ontotext-more-data-system-smarter-webinar-june-july.html

  • A Tour of End-to-End Machine Learning Platforms

    ...en-source edition does not yet have a built-in scheduler. It also encourages users to ‘primarily rely on vertical scalability’, although they can use AWS SageMaker for horizontal scalability. It is tightly coupled to AWS.   Lyft: Flyte   Lyft have open-sourced their cloud-native platform...

    https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html

  • How To Work In Data Science, AI, Big Data">Silver BlogHow To Work In Data Science, AI, Big Data

    ...cialising in scalable streaming analytics, ML and NLP algorithms. I share my technical experience and knowledge internally and externally relating to AWS, stream processing, serverless stacks, ML and NLP. I also present regularly at industry conferences, open source my code and write technical blog...

    https://www.kdnuggets.com/2019/03/work-data-science-ai-big-data.html

  • KDnuggets Review of Analytics Marketplaces: The Next Big Thing for Big Data

    ...he AWS platform, streamlining the process of doing research and purchasing software" said Terry Hanold, vice president of new business initiatives at AWS while launching AWS Marketplace. BigML Gallery (launched in October 2012) allows users to create predictive models in a simple way and share them...

    https://www.kdnuggets.com/2013/11/kdnuggets-review-analytics-marketplaces-next-big-thing-for-big-data.html

  • Hitchhikers Guide to Azure Machine Learning Studio

    ...ation running in live mode please click here Most of the hosting websites don't have support for python. I have hosted the application at my personal AWS instance. Author Bio: Usman is an aspiring data scientist. He tweets @rana_usman and can be reached at usmanashrafrana@gmail.com Related: 5 Best...

    https://www.kdnuggets.com/2016/01/guide-azure-machine-learning-studio.html

  • First Deep Learning for coders MOOC launched by Jeremy Howard

    ...lify neural net best practices (especially transfer learning) First public availability of previously private, very active and helpful, deep learning community: forums.fast.ai First public release of scripts that fully automate creation of deep learning AWS instances, and of fast.ai's special deep...

    https://www.kdnuggets.com/2016/12/deep-learning-coders-mooc-jeremy-howard.html

  • Tips for a cost-effective machine learning project

    ...osting a static website, gcloud doc Deploy your site in seconds, netlify Serverless compute services AWS — Run code without thinking about servers on AWS, aws lambda Google Cloud — Event-driven serverless compute platform, gcloud functions Azure — Event-driven serverless compute, Azure functions...

    https://www.kdnuggets.com/2019/11/tips-cost-effective-machine-learning-project.html

  • Data Science Toolbox virtual environment

    ...obrussell Web: miningthesocialweb.com/ Github: ptwobrussell/Mining-the-Social-Web-2nd-Edition Uses Vagrant and can be deployed on both VirtualBox and AWS. Installs IPython Notebook, numpy, mongo, and NLTK, which allows you to follow along with the examples provided in the book. An AWS AMI is...

    https://www.kdnuggets.com/2013/12/data-science-toolbox.html

  • Skills to Build for Data Engineering">Silver BlogSkills to Build for Data Engineering

    ...ata store can be in the form of Data Warehouses, Hadoop, Databases (both RDBMS and NoSQL), Data Marts. SQL skills are mostly sought followed by Hive, AWS Redshift, MongoDB, AWS S3, Cassandra, GCP BigQuery etc.   7- Data Visualization with Tableau or PowerBI   Data visualization is the...

    https://www.kdnuggets.com/2020/06/skills-build-data-engineering.html

  • Data Version Control: iterative machine learning

    …files through S3: # Setup cloud settings. Example: Cloud = AWS, StoragePath=/dvc-share/projects/tag_classifier $ vi dvc.conf $ git commit -am “Set up AWS path” [master ec994b6] Set up AWS path 1 file changed, 1 insertion(+), 1 deletion(-) # Share the repository with the pipeline and the cloud…

    https://www.kdnuggets.com/2017/05/data-version-control-iterative-machine-learning.html

  • Why You Should Get Google’s New Machine Learning Certificate

    ...e most popular cloud platform — that award goes to AWS, which has a Machine Learning certificate of its own. At first glance, career-wise, going with AWS would be the better option. However, if we head to LinkedIn and search for “AWS Certified Machine Learning” (including the quotes), we get almost...

    https://www.kdnuggets.com/2020/07/googles-new-machine-learning-certificate.html

  • A Day in the Life of an AI Developer">Silver BlogA Day in the Life of an AI Developer

    ...building tensorflow from scratch on your system. Ok, and finally as the Sunday drew to a close my model was getting trained in rapid speed,thanks to AWS GPU backed instance - each step time being under 1 minute and the total time for training looking like it would come to under a day - not bad for...

    https://www.kdnuggets.com/2018/01/day-life-ai-developer.html

  • SparkPost: Data Science Engineer [Columbia, MD or San Francisco, CA]

    ...ng tools and libraries such as scikit-learn, pandas, numpy, H2O, Keras, Tensorflow, and Jupyter. Experience with Apache Spark, YARN, AWS Sagemaker or AWS Neptune would be valued. Experience with Natural Language Processing would be a valued. At least 3 years of database experience, preferably data...

    https://www.kdnuggets.com/jobs/18/09-28-sparkpost-data-science-engineer.html

  • Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

    ...ould You Use Pytorch   AWS google GCP GPU supports Pytorch as first class citizen Pytorch added production and cloud partner support for 1.0 for AWS, Google Cloud Platform, Microsoft Azure. You can now use Pytorch for any deep learning tasks including computer vision and NLP, even in...

    https://www.kdnuggets.com/2019/08/pytorch-cheat-sheet-beginners.html

  • The Hackathon Guide for Aspiring Data Scientists">Silver BlogThe Hackathon Guide for Aspiring Data Scientists

    ...an explain to you what API is all about. Ability to use a cloud service like AWS or Google Cloud GPU is also necessary. Here is an official guide for AWS EC2 but here is a friendly video by School of AI. You can also find a more detailed tutorial for beginners by Michael Galarnyk.   Fully...

    https://www.kdnuggets.com/2019/07/hackathon-guide-aspiring-data-scientists.html

  • Virginia Tech: Data Engineer [Blacksburg, VA]

    ...fective written and oral communication skills Preferred Qualifications: Experience in building production data pipelines using Python, SQL, Spark and AWS environment (Kinesis, S3, Glue, Lambda, Cloudformation, RDS) or HDFS (Hadoop Yarn, Hbase, Hive, Pig) Strong programming experience in Python,...

    https://www.kdnuggets.com/jobs/19/05-06-virginia-tech-data-engineer.html

  • Deploy your PyTorch model to Production

    ...ching the server... * Debugger is active! * Debugger PIN: 261-786-850 That’s it! Now we can run commands like these from the terminal (I’m running an AWS instance). Let’s take this image for example. $ curl...

    https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html

  • The Most In Demand Tech Skills for Data Scientists

    ...from a low average — TensorFlow’s average is still twice as high as PyTorch’s. Cloud platform skills are becoming more in demand for data scientists. AWS showed up in nearly 20% of listings and Azure showed up in about 10%. Azure jumped four spots in the rankings. Those are the technologies that...

    https://www.kdnuggets.com/2019/12/most-demand-tech-skills-data-scientists.html

  • Training with Keras-MXNet on Amazon SageMaker

    comments By Julien Simon, AWS Technical Evangelist As previously discussed, Apache MXNet is now available as a backend for Keras 2, aka Keras-MXNet. In this post, you will learn how to train Keras-MXNet jobs on Amazon SageMaker. I’ll show you how to: build custom Docker containers for CPU and GPU...

    https://www.kdnuggets.com/2018/09/training-keras-mxnet-amazon-sagemaker.html

  • Know What Employers are Expecting for a Data Scientist Role in 2020">Platinum BlogKnow What Employers are Expecting for a Data Scientist Role in 2020

    ...s, Data cleaning and Deep learning techniques. Along with these skills, a few companies were expecting the candidates to have knowledge in the cloud (AWS, Azure, or GCP) and data visualization tools like Tableau, Power BI, and ETL tools like SSIS. Usually, these technologies are more to do with...

    https://www.kdnuggets.com/2020/08/employers-expecting-data-scientist-role-2020.html

  • Announcing PyCaret 1.0.0

    ...l function allows deploying the entire pipeline including trained model on cloud from notebook environment. deploy_model(model = rf, model_name = 'rf_aws', platform = 'aws', authentication = {'bucket' : 'pycaret-test'})   11. Save Model / Save Experiment   Once training is completed the...

    https://www.kdnuggets.com/2020/04/announcing-pycaret.html

  • Top 5 must-have Data Science skills for 2020">Gold BlogTop 5 must-have Data Science skills for 2020

    ...ging to faster compute services that are generally obtained in one or both of the following: Cloud: moving compute resources to external vendors like AWS, Microsoft Azure, or Google Cloud makes it very easy to set up a very fast Machine Learning environment that can be accessed from a distance....

    https://www.kdnuggets.com/2020/01/top-5-data-science-skills-2020.html

  • PyCaret 2.1 is here: What’s new?

    ...male", 27.9, 0, "yes", "southwest"]] }' (Note: This functionality of MLFlow is not supported on Windows OS yet). MLFlow also provide integration with AWS Sagemaker and Azure Machine Learning Service. You can train models locally in a Docker container with SageMaker compatible environment or...

    https://www.kdnuggets.com/2020/09/pycaret-21-new.html

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

    ...re across private and public cloud extends the flexibility and choice for the data scientist/data engineer. Analysis workloads on the VMware Cloud on AWS may now reach into S3 storage on AWS in a local fashion, within a common data center, thus bringing down the latency of access for data. In this...

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

  • Don Zereski, VP, Local Search & Discovery, HERE (Nokia) on Location Analytics and Architecture Evolution

    ..., what have been the biggest infrastructure challenges for you? DZ: The biggest challenge was scalability and we overcame that by taking advantage of AWS. Amazon has been able to scale AWS to meet our demands. AR: Q5. What are your thoughts on how data governance is being perceived currently? How...

    https://www.kdnuggets.com/2014/06/interview-don-zereski-nokia-location-analytics-architecture.html

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...iner, an integrated suite which provides a user-friendly GUI front-end to the SEMMA (Sample, Explore, Modify, Model, Assess) process. ShareInsight on AWS is a data analytic tool that harness the power of AWS services to fully utilize the power and agility of the cloud for deeper, faster analytics....

    https://www.kdnuggets.com/software/suites.html

  • YPS: Yottamine Predictive ServicesSVM, Machine Learning in the Amazon Cloud

    ...tion to Big Data from the Web, machines, and sensor networks. YPS produces robust, efficient models that can be used to score very large data sets on AWS or on other systems. In addition to being fast, accurate and scalable, Yottamine's predictive modeling services are also highly automated. YPS...

    https://www.kdnuggets.com/2013/02/yps-yottamine-predictive-services-machine-learning-amazon-cloud.html

  • UnitedHealth Group: Big Data Engineering Lead (Eden Prairie, MN)

    ...n, Continuous Delivery, DevOps etc. Minimum of 6 months of experience developing solutions hosting within key major cloud providers such as Azure and AWS or private cloud using Mesos, Kubernetes/OpenShift Proven track record of acting as an advocate for driving new technology across the...

    https://www.kdnuggets.com/jobs/18/08-17-unitedhealth-group-big-data-engineering-lead.html

  • Crushed it! Landing a data science job

    …hnical details but still need to demonstrate familiarity. The cloud computing specialization was also great for me since I was gunning for the job at AWS. I’m transitioning industries again from retail technology to cloud computing and I wanted to get a better sense for the types of problems that…

    https://www.kdnuggets.com/2015/10/erin-shellman-landing-data-science-job.html

  • Machine Learning Scientists

    ...ding platforms that incorporate highly scalable implementations of state-of-the-art machine learning algorithms. We also want to put out platforms on AWS for the use of enterprise customers and startups at large like the other products we offer on AWS. We have applications focused groups who are...

    https://www.kdnuggets.com/jobs/13/09-18-amazon-machine-learning-scientist.html

  • DataRPM: Building Data Products For Recommendations And Predictions, Webinar, Feb 18

    ...Services Robby is a Solutions Architect with Amazon Internet Services, where he is responsible for educating companies with the service offerings of AWS platform as well as helping them with architecture best practices to build highly scalable and resilient applications on the AWS Cloud. Ruban...

    https://www.kdnuggets.com/2016/02/datarpm-building-data-products-recommendations-predictions-webinar.html

  • BigQuery vs Redshift: Pricing Strategy

    ...e cheapest Redshift cluster you can spin up will cost you $0.25 per hour, or about $180 per month. It’ll contain one dc2.large node in the US region. AWS constantly updates prices so please check their site for up-to-date information. Storage is bound to computing power for Redshift, unlike EC2...

    https://www.kdnuggets.com/2018/07/bigquery-vs-redshift-pricing-strategy.html

  • Data Engineer vs Data Scientist: the evolution of aggressive species

    ...ket value of being certified, I promise that you’ll need the skills.” The same student, turned recent alumni, 6 months later: “I’m setting-up a pilot AWS infrastructure for the company, our IT is just not ready for data science. I’m looking for a proper[1] Data Science position.”   Four years...

    https://www.kdnuggets.com/2018/05/dsti-data-engineer-vs-data-scientist.html

  • 7 Super Simple Steps From Idea To Successful Data Science Project

    ...s to to sell this service to customers for a topic of their choice. We are going to use AWS services to realise all of this. I am not advertising for AWS, I just have more experience with it. I am sure Google Cloud or Azure have the same features, only named differently.   Step 1 - Get the...

    https://www.kdnuggets.com/2017/11/7-super-simple-steps-idea-successful-data-science-project.html

  • From Big Data Platforms to Platform-less Machine Learning

    …packaging the features of recommendation, image recognition, fraud detection, pricing optimization, risk modeling services as a seamless addition for AWS, Azure, GCE or Azure ecosystems, makes it much more attractive to prospective client companies. The beauty of this approach lies in the ability…

    https://www.kdnuggets.com/2017/03/big-data-platformless-machine-learning.html

  • Celgene: Director, Big Data Ops Lead

    ...g clear perspective on leading design patterns and techniques to achieve desired performance. Ability to lead a cross-functional team of Cloudera and AWS engineers to operationalize new workload patterns and troubleshoot issues. Data Warehousing IT Service Management Minimum of 5-10 year of...

    https://www.kdnuggets.com/jobs/17/07-18-celgene-director-big-data-ops-lead.html

  • DuPont Pioneer: Data Engineer

    ...neer/Software Developer to design, develop, and implement high quality data solutions and applications for our data science and analytics platform in AWS. Education & Experience: BS degree in Computer Science, Physics, Electrical Engineering, or a related field. Required Competencies: Practical...

    https://www.kdnuggets.com/jobs/17/06-29-dupont-pioneer-data-engineer.html

  • Machine Learning in Real Life: Tales from the Trenches to the Cloud – Part 1

    ...riginal data and code that generated it An actual example In our latest solution We stored experiment results in a couple of tables in a database (on AWS RDS with daily backups), which not only stores the final performance metrics, but also stores links to where the generated models which we stored...

    https://www.kdnuggets.com/2017/06/machine-learning-real-life-tales-1.html

  • Celgene: Sr. Manager, Data Lake

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    https://www.kdnuggets.com/jobs/17/07-18-celgene-manager-data-lake.html

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    https://www.kdnuggets.com/jobs/17/05-10-regeneron-spark-rd-developer.html

  • DuPont Pioneer: Data Engineer Manager

    ...iscussions, evaluating, conceptualizing; playing a key role on architecture and strategic decision; designing and executing development plans for the AWS platform. Manage data engineering team by recruiting, training and coaching employees, communicating job expectations and appraising performance...

    https://www.kdnuggets.com/jobs/17/06-27-dupont-pioneer-data-engineer-manager.html

  • Datasets for Data Mining, Data Science, and Machine Learning

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    https://www.kdnuggets.com/datasets/index.html

  • National Grid: Dev Ops – Operations Engineer / Sr Ops Engineer – Advanced Analytics

    ...y Analytics Operations Engineers. Be able to troubleshoot/debug minor issues as needed. Ability to automate installation/operational monitoring using AWS tools. Fully manage production level environments ensuring optimal system level performance. Fully manage and operate production control...

    https://www.kdnuggets.com/jobs/18/03-21-national-grid-dev-ops.html

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    ...Distributed Computing, Analytics Experience with Python, R, Scala, Spark, and/or SAS, Java Experience building, deploying and scaling applications in AWS or any other cloud environment Linux and shell scripting expertise Strong problem solving skills and capability to understand and set direction...

    https://www.kdnuggets.com/jobs/18/03-23-vanguard-data-science-developer.html

  • Foot Locker: Data Platform Engineer

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

    ...mpute environment quickly is also a huge competitive advantage in Kaggle competitions because you can take advantage of precious compute resources on AWS in a cost effective manner. Lastly, creating a docker file allows you to port many of the things that you love about your local environment —...

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

  • Data: APIs, Hubs, Marketplaces, and Platforms

    ...gregate data in 15+ categories, with a focus on location data, like Starbucks locations. Apertio, lets you search for millions of Open Data datasets. AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamlessly integrated into AWS...

    https://www.kdnuggets.com/datasets/api-hub-marketplace-platform.html

  • Sainsbury’s: Sr. Data Scientist

    ...e solutions you communicate will underpin exciting changes. Along the way, you’ll have the benefit of advanced ways of working, including an enviable AWS technology stack as we move onto an AWS Cloud infrastructure. You will learn from a diverse team of colleagues with backgrounds in areas as...

    https://www.kdnuggets.com/jobs/17/10-30-sainsburys-sr-data-scientist.html

  • 70 Amazing Free Data Sources You Should Know">Silver Blog70 Amazing Free Data Sources You Should Know

    ...for a huge wealth of information. Amazon API Gateway allows developers to securely connect mobile and web applications to APIs that run on Amazon Web(AWS) Lambda, Amazon EC2, or other publicly addressable web services that are hosted outside of AWS. American Society of Travel Agents: ASTA is the...

    https://www.kdnuggets.com/2017/12/big-data-free-sources.html

  • Ingram Micro: Data Architect

    ...ide data integration services: acquire, cleanse, merge, validate, visualize and data mine Technical experience with Cloud Infrastructure Knowledge of AWS Data Stack using S3, EMR, Data Pipeline Data warehousing management, database optimization, and administration experience Implementation of the...

    https://www.kdnuggets.com/jobs/17/12-19-ingram-micro-data-infrastructure-architect.html

  • Celgene: Associate Director, Big Data Platform Engineer

    ...security expertise, in particular with Kerberos and Active Directory Hands on experience with managing solutions deployed in the Cloud, preferably on AWS Cloudera Engineer Certification is a plus Experience working in a Global company and an on-shore/off-shore operating model Experience working in...

    https://www.kdnuggets.com/jobs/17/07-18-celgene-big-data-platform-engineer.html

  • Additions to KDnuggets Directory in April

    ...nd power grids. Atlanta, GA, USA.   Added to Datasets for Data Mining and Data Science Awesome Public Datasets on github, curated by caesar0301. AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamlessly integrated into AWS...

    https://www.kdnuggets.com/2015/05/added-to-kdnuggets-in-april.html

  • Top KDnuggets tweets, Jun 17-18: LIONBook: free online book on Machine Learning; Amazon Data Scientists

    ...Data Mining screws Somali pirates (attacks fell from 181 in '09 to 32 in '12) bit.ly/11KrzvC 3 things to know about #BigData and Amazon Web Services (AWS): 1. Many useful big data sets are free on AWS bit.ly/11juezR Google announces #BigData plan to Eradicate Child Porn using image recognition,...

    https://www.kdnuggets.com/2013/06/top-tweets-jun17-18.html

  • Data APIs, Hubs, Marketplaces, Platforms, and Search Engines

    …e any additions to or post in the comments below. AggData, aggregate data in 15+ categories, with a focus on location data, like Starbucks locations. AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamlessly integrated into AWS

    https://www.kdnuggets.com/2013/08/data-apis-hubs-marketplaces-platforms-search-engines.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ted, and streaming algorithms. Systems: We leverage Amazon's cloud infrastructure to scale. We create production workflows and applications utilizing AWS technologies such as EMR, SWF, Data Flow, RedShift and SQS. Our systems must run reliably in the face of variations in the input data or local...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Data: Government, State, City, Local and Public

    ...Global | USA | Canada | Europe | Asia | Australia, NZ and Pacific | Latin America | Africa | Middle East Public data catalogs, portals, and services AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamlessly integrated into AWS...

    https://www.kdnuggets.com/datasets/government-local-public.html

  • KDnuggets™ News 13:n26, Oct 30

    ...funny; LIONbook Chapter 11: Democracy in machine learning - how to combine different models Top KDnuggets tweets, Oct 16-17: Data Science Toolkit on AWS Marketplace; How to Interview a Data Scientist - Oct 18, 2013. Data Science Toolkit on AWS Marketplace; LinkedIn Top Scientist @dtunkelang on How...

    https://www.kdnuggets.com/2013/n26.html

  • Data Mining, Data Science, and Analytics News, Oct 2013

    ...10 Big Data startups at a time, and providing them with space and mentorship to get started. Top KDnuggets tweets, Oct 16-17: Data Science Toolkit on AWS Marketplace; How to Interview a Data Scientist - Oct 18, 2013. Data Science Toolkit on AWS Marketplace; LinkedIn Top Scientist @dtunkelang on How...

    https://www.kdnuggets.com/2013/10/index.html

  • Data: Portals, Government, State, City, Local, and Public

    ...ddle East, and Latin America. Portals | Global | USA | Canada | Europe | Asia | Australia, NZ and Pacific Public data catalogs, portals, and services AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamlessly integrated into AWS...

    https://www.kdnuggets.com/2013/07/data-portals-government-state-city-local-public.html

  • Data Scientists (all levels), Amazon Consumer Analytics

    ...m is looking for Data Scientists at all levels. You will work with distributed machine learning and statistical algorithms across multiple platforms (AWS, Hadoop and the data warehouse) to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic...

    https://www.kdnuggets.com/jobs/13/06-18-amazon-data-scientists-all-levels.html

  • Data ScienceTech Institute, online (off-campus) education, starting March 2016

    ...be bigger than 30 students, regardless of being on or off-campus. All students have the benefits of the Teaching Chairs such as SAS, ebiznext, Amazon AWS or NVIDIA. You will graduate at the same time as your classmates on-campus, will take the same mandatory professional certification exams (SAS,...

    https://www.kdnuggets.com/2016/01/dsti-france-data-science-online-education.html

  • iSight Cloud – Lightning fast visualizations on large data sets

    ...un 10 concurrent equivalent queries (supporting lot more users), we would need 4000 cores for a TB of data. If such a workload were to be deployed on AWS, and run on compute optimized c4.8xlarge machines (assume each one has capacity of 36 cores even though in reality with hyperthreading you may...

    https://www.kdnuggets.com/2016/11/snappydata-isight-cloud-fast-visualizations-large-data.html

  • Amazon, Customer Segmentation and Targeting: Machine Learning/Research Scientists (All Levels)

    ...Machine Learning Engineers (MLE) at all levels. You will work with distributed machine learning and statistical algorithms across multiple platforms (AWS, Hadoop, relational DB) to harness enormous volumes of data at scale to match customers, products/offers, channels based on probabilistic...

    https://www.kdnuggets.com/jobs/14/05-14-amazon-machine-learning-research-scientist.html

  • Hadoop: Elephants in the Cloud

    ..., making Hadoop more relevant for different types of data processing. Amazon's Elastic MapReduce offers Hadoop 2.0 as an option for its users (http://aws.typepad.com/aws/2013/10/elastic-mapreduce-updates.html). Such a cloud offering allows enterprises to evaluate new versions of Hadoop without...

    https://www.kdnuggets.com/2014/01/hadoop-elephants-in-the-cloud.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ted, and streaming algorithms. Systems: We leverage Amazon's cloud infrastructure to scale. We create production workflows and applications utilizing AWS technologies such as EMR, SWF, Data Flow, RedShift and SQS. Our systems must run reliably in the face of variations in the input data or local...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • Data Mining, Data Science, and Analytics
    Publications – Oct 2013

    ...funny; LIONbook Chapter 11: Democracy in machine learning - how to combine different models Top KDnuggets tweets, Oct 16-17: Data Science Toolkit on AWS Marketplace; How to Interview a Data Scientist - Oct 18, 2013. Data Science Toolkit on AWS Marketplace; LinkedIn Top Scientist @dtunkelang on How...

    https://www.kdnuggets.com/2013/10/publications.html

  • Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Gold BlogMachine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017

    .... Microsoft open sourced CNTK, Baidu announced the release of PaddlePaddle, and Amazon just recently announced that they will back MXNet in their new AWS ML platform. Facebook, on the other hand, are basically supporting the development of not one, but two Deep Learning frameworks: Torch and Caffe....

    https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html

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