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Search results for ec2

    Found 89 documents, 11350 searched:

  • Deploying a pretrained GPT-2 model on AWS

    ...achieved via an SSM agent, which forwards the list of commands to the machine. Here a great guide to set up the agent to successfully interface with EC2 (a matter of IAM permissions mainly). Those commands include: Instruct the system to shut down the EC2 after 30 minutes Activate the pytorch_p36...

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

    ...t these two posts: https://blog.keras.io/running-jupyter-notebooks-on-gpu-on-aws-a-starter-guide.html https://hackernoon.com/keras-with-gpu-on-amazon-ec2-a-step-by-step-instruction-4f90364e49ac They should get you started to: Set up an EC2 VM and connect to it Configure the network security to...

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

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

    ...orial, 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 you are new to EC2. Since the app is actually quite computationally intensive, I chose the t3a.medium instance (2 vCPU, 4 GiB memory)...

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

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

    ...://aws.amazon.com/fargate/   There is no best answer as to which approach is better. The choice between going serverless or manually managing an EC2 cluster depends on the use-case. Some pointers that can assist with this choice include: ECS EC2 (Manual Approach) You are all-in on AWS. You...

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

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

    ...ove using Matlab, can I use it? Of course, if Matlab has the features you need - use it! Use what ever fits your needs best. You can use the previous EC2 instance to do the analytics on. Or stop the old one and spin up a new one if you need to change the operating system.   Step 3 - Prove your...

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

  • Cloud Computing Key Terms, Explained

    …a cloud service provider with a presence across the Americas, Australia, Europe and Asia. 9. Amazon EC2 (Elastic Cloud Compute) Being a part of AWS, EC2 is what is known to offer scalable cloud computing options to developers across the world. It is used for the deployment of cloud-based…

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

  • Murmuration: Data Engineer [New York, NY]

    ...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 our...

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

  • Data Scientist New Year Resolutions for 2017

    ...rocessing. These “tricks” are critical to working with huge datasets on small machines, particularly for students that may not wish to pay for Amazon EC2, Azure etc. 2. Focus on Sharing, Not Just Doing One of the qualities of my Ph.D. advisor that I admire the most is his dedication to sharing...

    https://www.kdnuggets.com/2017/01/data-scientist-new-years-resolutions.html

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

    ...ial 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 pain at...

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

  • Data Science Toolbox virtual environment

    ...es his proposed solution, an environment created and configured using Vagrant, a wrapper around VirtualBox and other virtualization software such AWS EC2. With a few commands, a fresh virtual machine is spun up and configured according to a simple script. Jeroen Janssens writes: Data scientists...

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

  • Top KDnuggets tweets, Jul 4-6: Cartoon: Facebook Data Science and happy cats; plyrmr makes R work seamlessly with Hadoop

    ...ation data science experiment http://bit.ly/1m47ZbC Most Favorited: Useful for #DataScience: Simple script from setting up R, Git, and Jags on Amazon EC2 Ubuntu Instance #rstats buff.ly/1m2nbGb Top 10 Tweets KDnuggets Cartoon examines happy kittens in light of Facebook emotion manipulation data...

    https://www.kdnuggets.com/2014/07/top-tweets-jul4-6.html

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

    ...ases ETL – Pentaho, Kettle, SSIS AWS (Amazon Web Service) – Infrastructure Deployment & Multi-thread Programming, Cloud administration, IAM, VPC, EC2, RDS, EMR, S3, EBS, ELB Distributed Process Management – Elastic MapReduce (EMR), SPARK Analytics Operations Engineering skills (e.g. distributed...

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

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

    ...for a seq2seq model to be trained. When I started, I had three options - use our own GPU powered desktop, use Google Cloud Platform GPU or an Amazon EC2 GPU instance. It was a an overcast Sunday and the clouds were building up - perfect day to stay indoors and get your RNN through the paces. 10:30...

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

  • Pair Finance: Python Developer

    ...ls: Experience with Linux server administration, IT security, distributed computing and parallelized computation Experience with Amazon Web Services (EC2, S3, RDS, OpsWorks) or other cloud-based infrastructure solutions What do we offer You will have the opportunity to participate in one of the...

    https://www.kdnuggets.com/jobs/18/04-30-pair-finance-python-developer.html

  • How StockTwits Applies Social and Sentiment Data Science

    ...and prototyping), and Flask (for API deployment). For our research involving deep learning, we use TensorFlow and our infrastructure is hosted on AWS EC2 instances (to easily spin up GPUs when necessary). Specific deep learning methods we explore are Recurrent Neural Networks and their variants,...

    https://www.kdnuggets.com/2018/03/stocktwits-social-sentiment-data-science.html

  • Pair Finance: Team Lead Data Scientist

    ...ls: Experience with Linux server administration, IT security, distributed computing and parallelized computation Experience with Amazon Web Services (EC2, S3, RDS, OpsWorks) or other cloud-based infrastructure solutions Experience with A/B testing What do we offer You will have the opportunity to...

    https://www.kdnuggets.com/jobs/18/04-30-pair-finance-team-lead-data-scientist.html

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

    ...sible to create a pipeline with Sage Maker and Deep Learning libraries = FUN. This was a very nice way to get in touch with Amazon AWS services, like EC2, IoT, Cloud Watch, DynamoDB, S3, Quick Sight and Lambda. It's definitely not easy to set up everything and their dependencies, but this part of...

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

  • Agero: Sr. Data Science Engineer

    ...zing, and able to prioritize multiple complex assignments. Preferred Qualifications: Experience with AWS technologies including Lambda, DynamoDB, S3, EC2, Redshift. Experience using Git and working on shared code repositories. Experience with Spark / Databricks. Experience implementing and...

    https://www.kdnuggets.com/jobs/18/05-11-agero-data-science-engineer.html

  • Midigator: Sr. Data Engineer

    ...analysis with fast growing and evolving datasets Ability to productize data models within business requirements Amazon Web Services experience (VPC, EC2, S3, SNS/SQS, Lambda, ECS, ECR, ELB, EBS, Route53) 4-5 year of related experience Preferred Qualifications Experience with Spark, Databricks,...

    https://www.kdnuggets.com/jobs/18/05-07-midigator-data-engineer.html

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

    ...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 world's largest...

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

  • Data Science & Machine Learning Platforms for the Enterprise

    …You have deployed your model behind a web server. In the world of deep learning you will likely want a GPU-ready machine, such as P2 instances on AWS EC2 (or Azure N-Series VMs). Running those machines for each productionized deep learning model can quickly get expensive, especially for spiky…

    https://www.kdnuggets.com/2017/05/data-science-machine-learning-platforms-enterprise.html

  • 42 Essential Quotes by Data Science Thought Leaders

    …a science is exactly the same [as] good science…. Good data science will never be measured by the terabytes in your Cassandra database, the number of EC2 nodes your jobs is using, or the volume of mappers you can send through a Hadoop instance. Having a lot of data does not license you to have a…

    https://www.kdnuggets.com/2017/05/42-essential-quotes-data-science-thought-leaders.html

  • Introducing Dask-SearchCV: Distributed hyperparameter optimization with Scikit-Learn

    ...the workers (each with 8 single-threaded processes), and another instance for the scheduler. This was easy to do with a single command using the dask-ec2 utility: To switch to using the cluster instead of running locally, we just instantiate a new client, and then rerun: https://www.kdnuggets.com/2017/05/dask-searchcv-distributed-hyperparameter-optimization-scikit-learn.html

  • The Internet of Things in the Cloud

    ...ces, accelerated deployment, as well as increased and customized security. The most prominent example of IaaS service Amazon’s Elastic Compute Cloud (EC2), which uses the Xen open-source hypervisor to create and manage virtual machines. Platform as a Service (PaaS): PaaS provides development...

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

  • BigQuery vs Redshift: Pricing Strategy

    ...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 deployments. This means Redshift pricing will depend on your data size. Per TB pricing is $0.425 / TB / hour for HDD storage and $1.5625 / TB /...

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

  • Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2">Silver Blog, July 2017Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2

    ...l flow w/ DeepFlow+DeepMatching, Torch7 to train net. pic.twitter.com/sDic1NMi0K— Sam Putnam (@samdeeplearning) April 18, 2017 Setting up on an EC2 GPU Step-by-step (start at p.17): Deep Learning and Artistic Style Transfer for Videos - Enterprise Deep Learning from Sam Putnam [Deep Learning]...

    https://www.kdnuggets.com/2017/07/deep-learning-demos-code-beginners-part2.html

  • First Steps of Learning Deep Learning: Image Classification in Keras

    ...GPU is to rent a remote machine on a per-hour basis. You can use Amazon (it is not only a bookstore!), here are some guides: Keras with GPU on Amazon EC2 – a step-by-step instruction by Mateusz Sieniawski, my mentee Running Jupyter notebooks on GPU on AWS: a starter guide by Francois Chollet  ...

    https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html

  • Accenture: Data Science Consultant

    .../Graph Mahou Graphlab Other machine learning libraries Pig and UDFs Hive and UDFs Build tools: ant, maven Cloud storage and computation such as AWS's EC2 and EMR Advanced/specialized plotting techniques Cross-platform skills: R, JavaScript, Mathematica, Python, etc. Previous experience with: Built...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-data-science-consultant.html

  • DuPont Pioneer: Data Engineer

    ...ree in Computer Science, Physics, Electrical Engineering, or a related field. Required Competencies: Practical cloud computing with AWS technologies (EC2, S3, ECS, etc.) in high performance and data intensive architectures for ingesting, computing, and managing spatial and non-spatial datasets....

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

  • Benchmarking Big Data SQL Platforms in the Cloud

    ...and 4X better in geometric mean. Next, we explain more details of the benchmark setup. Hardware Configuration: We used the following setup on Amazon EC2: Machine type: 11 r3.xlarge nodes (10 workers and 1 driver) CPU core count: 44 virtual cores (22 physical cores) System memory: 335 GB Total...

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

  • Approach pre-trained deep learning models with caution

    ...rtain versions of Theano that may ignore your seed (for a relevant post form Keras, see this)   4. What’s your hardware? Are you using an Amazon EC2 NVIDIA Tesla K80 or a Google Compute NVIDIA Tesla P100? Maybe even a TPU? 😜 Check out these useful benchmark resources for run times for these...

    https://www.kdnuggets.com/2019/04/approach-pre-trained-deep-learning-models-caution.html

  • Decision Boundary for a Series of Machine Learning Models

    ...ables and higher dimensions. for(i in 1:length(plot_data)){ print(ggplot_lists[[i]]) }   End note:   I wrote this model on an Amazon Ubuntu EC2 Instance however, when I went to compile the blog post in R on my Windows system I ran into some problems. These problems were mostly down to...

    https://www.kdnuggets.com/2020/03/decision-boundary-series-machine-learning-models.html

  • Random Forests® in Python

    ...es you want to use. Here's a great presentation by scikit-learn contributor Olivier Grisel where he talks about training a random forest on a 20 node EC2 cluster. from sklearn.datasets import load_iris from sklearn.ensemble import RandomForestClassifier import pandas as pd import numpy as np iris =...

    https://www.kdnuggets.com/2016/12/random-forests-python.html

  • Tips for a cost-effective machine learning project

    ...as an Apache Http server The server tier was a Python flask app running the lyric generation model. We bought a domain model, deployed our code to an EC2, and we were ready to serve users.   The problem   It’s all fun and games until the free trial expires. After the initial 12 months,...

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

  • A Layman’s Guide to Data Science. Part 2: How to Build a Data Project

    ...n download data from social networks in a programming language you feel the most comfortable with. For the cloud option, you can spin up a simple AWS EC2 Linux instance (nano or micro), and run your software on in. The best way to store the data is to use a simple .csv format with each line,...

    https://www.kdnuggets.com/2020/04/guide-data-science-build-data-project.html

  • Top 10 Data Visualization Tools for Every Data Scientist">Silver BlogTop 10 Data Visualization Tools for Every Data Scientist

    ...ed across 100 countries and has a very strong community. Key features of QlikView: The tool integrates with a very wide range of data sources such as EC2, Impala, HP Vertica, etc It is extremely fast when it comes to data analysis This data visualization tool is easily deployable as well as...

    https://www.kdnuggets.com/2020/05/top-10-data-visualization-tools-every-data-scientist.html

  • Deploying Streamlit Apps Using Streamlit Sharing

    ...d management process. The tutorial I followed was straightforward, and didn’t take that much time, but was fairly extensive. It required launching an ec2 instance, configuring SSH, using tmux, and going back to this terminal every time you wanted to change anything about your web app. It was doable...

    https://www.kdnuggets.com/2020/10/deploying-streamlit-apps-streamlit-sharing.html

  • Cloud Analytics and SaaS Providers

    ...based predictive models in the cloud. Pricing is based on usage. Zementis, Inc., offers the ADAPA decision engine, a framework to deploy, integrate, and execute PMML-based predictive models, as a fully hosted service through Amazon Elastic Compute Cloud (EC2). Related Real-Time Decisioning...

    https://www.kdnuggets.com/companies/cloud-analytics-saas.html

  • KDD-2020 (virtual), the leading conference on Data Science and Knowledge Discovery, Aug 23-27 – register now

    ...anies in the industry including: Building Recommender Systems with PyTorch (Facebook) Put Deep Learning to work: Accelerate Deep Learning through AWS EC2 and ML Services (Amazon/AWS) Neural Structured Learning: Training neural networks with structured signals (Google) Accelerating and Expanding...

    https://www.kdnuggets.com/2020/08/kdd-2020-virtual-august.html

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

    ...y last book, Agile Data Science 2.0 (4.5 stars), I built my own platform for readers to run the code using bash scripts, the AWS CLI, jq, Vagrant and EC2. While this made the book much more valuable for beginners who would otherwise have trouble running the code, it has been extremely difficult to...

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

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

    ...xplain 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 charged...

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

  • Web Content Mining, Screen Scraping

    ...including web data extraction and screen scraping. Bixolabs, an elastic web mining platform built w/Bixo, Cascading & Hadoop for Amazon's cloud (EC2). Crawlera, a smart IP rotator to work around bot countermeasures, allows to crawl more complex sites like Google. Darcy Ripper, a powerful pure...

    https://www.kdnuggets.com/software/web-content-mining.html

  • Jimdo: Sr Data Scientist [Hamburg, Germany]

    ...wpal Wabbit, Snorkel, scikit-learn, weka, H2O, TensorFlow, Keras, MXNet, etc.) Nice to have Demonstrated ability to work and improve on an AWS stack (EC2, S3, RDS, Lambda and Redshift) Experience in a SAAS / Freemium product environment 4+ years of job experience in Data Science Amanda will be...

    https://www.kdnuggets.com/jobs/18/09-27-jimdo-gmbh-data-scientist.html

  • 35 Open Source tools for Internet of Things

    ...-stamped. A public platform as a service is available, or you can download the software and deploy it on Google App Engine, any J2EE server on Amazon EC2 or on a Raspberry Pi. It supports multiple programming languages, including Arduino, JavaScript, HTML or the Nimbits.io Java library. 33....

    https://www.kdnuggets.com/2016/07/open-source-tools-internet-things.html

  • Deploy your PyTorch model to Production

    ...6-850 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 http://ec2-100-24-34-242.compute-1.amazonaws.com:8080/predict?url=https://media.minutouno.com/adjuntos/150/imagenes/028/853/0028853430.jpg "Choripan" And...

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

  • Dask and Pandas and XGBoost: Playing nicely between distributed systems

    ...the general design and what this means for other distributed systems. Example   We have a ten-node cluster with eight cores each (m4.2xlarges on EC2) We load the Airlines dataset using dask.dataframe (just a bunch of Pandas dataframes spread across a cluster) and do a bit of preprocessing:...

    https://www.kdnuggets.com/2017/04/dask-pandas-xgboost-playing-nicely-distributed-systems.html

  • Humn.ai: Lead Data Scientist [London, UK]

    ...SQL databases (like Cassandra or HBase) Modern data warehousing (Hive, Kylin or Presto) Familiarity in working with Docker/Kubernetes AWS frameworks (EC2, S3, EKS, EMR) Know how to interact programmatically with AWS services using libraries such as boto and chalice for serverless functions Soft...

    https://www.kdnuggets.com/jobs/19/07-04-humn-lead-data-scientist.html

  • Path2Response LLC: Sr Data Scientist [Louisville, CO]

    ..., Spark, etc. Experience with JSON file format and basic Linux commands Experience using version control systems (ex. Git) Experience with AWS S3 and EC2 is a plus Experience in Agile work environment is a plus Be flexible and adapt to change quickly - We are continuously innovating to drive...

    https://www.kdnuggets.com/jobs/19/05-24-path2response-sr-data-scientist.html

  • Virginia Tech: Data Engineer [Blacksburg, VA]

    ...ing, integrating, and analyzing data using Python, Spark, SQL Hands on experience with AWS services – Kinesis, S3, Glue, Lambda, Cloudformation, RDS, EC2, EMR or HDFS, Hadoop Yarn, Hbase, Hive, Pig Hands on experience in ELT/ETL and dimensional data modeling Proficiency in Python and at least one...

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

  • Overview and benchmark of traditional and deep learning models in text classification

    ...et and the complexity of RNN architectures, this has not been practical. At all. One good option is AWS. I generally use this deep learning AMI on an EC2 p2.xlarge instance. Amazon AMI are pre-configured VM images, where all the packages (Tensorflow, PyTocrh, Keras, etc. ) are installed. I highly...

    https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

  • How to Start Learning Deep Learning

    ...affordable cards that can also get the work done. An even cheaper option is to rent a GPU-enabled instance from a cloud server provider like Amazon’s EC2 (short guide here). Good luck! Bio: Ofir Press is a graduate student at Tel-Aviv University's Deep Learning Lab. His main focus is on using deep...

    https://www.kdnuggets.com/2016/07/start-learning-deep-learning.html

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

    ...ics in the cloud". Amazon AWS marketplace, launched in April 2012, currently has more than 80 apps on Big Data. Leveraging the widely popular AWS and EC2 services, these apps provide intuitive analytics to users of Amason's web services through a very quick and convenient implementation (just "turn...

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

  • Wakari: Continuum In-Browser Data Analytics Environment

    ...um Analytics is a leading provider of Python-based data analytics solutions and services. Continuum Wakari is hosted on Amazon Elastic Compute Cloud (EC2) and gives users the ability to share analyses and results via IPython notebook, visualize with Matplotlib, easily switch between multiple...

    https://www.kdnuggets.com/2013/05/wakari-continuum-in-browser-data-analytics-environment.html

  • Data Mining Programmer

    …e with source revision software such git/svn. Nice to have Expertise Knowledge of Data Mining and big data. Experience with Amazon technology such as EC2 and S3. Keen interest for Data Visualization. Ability to perform back-end task such as configuring server like nginx, tomcat, jetty, apache….

    https://www.kdnuggets.com/jobs/13/07-31-adtheorent-data-mining-programmer-b.html

  • Open Source Data Science Masters Curriculum

    ...API, Distributed Computing Paradigm, MapReduce/Hadoop & Pig Script, SQL/NoSQL, Relational Algebra, Experiment design, Statistics, Graphs, Amazon EC2, Visualization. Math Linear Algebra / Levandosky Stanford / Book Linear Programming (Math 407) University of Washington / Course Statistics Stats...

    https://www.kdnuggets.com/2013/12/open-source-data-science-masters-curriculum.html

  • Hadoop: Elephants in the Cloud

    ...loud also makes sense for a quick, one time use case involving big data computation. As early as in 2007, the New York Times used the power of Amazon EC2 instances and Hadoop for just one day to do a one time conversion of TIFF documents to PDFs in a digitization effort. Procuring scalable compute...

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

  • Big Data BootCamp: Highlights of talks on Day 3

    ...for three days of insightful presentations, hands-on learning and networking. It covered a wide range of topics including Hadoop, Map Reduce, Amazon EC2, Cassandra, YARN, Pig, different use cases and much more. Despite the great quality of content as well as speakers, it is hard to grasp all the...

    https://www.kdnuggets.com/2014/05/big-data-bootcamp-santa-clara-talks-day-3.html

  • Big Data BootCamp Santa Clara: Highlights of talks on Days 1-2

    ...for three days of insightful presentations, hands-on learning and networking. It covered a wide range of topics including Hadoop, Map Reduce, Amazon EC2, Cassandra, YARN, Pig, different use cases and much more. Despite the great quality of content as well as speakers, it is hard to grasp all the...

    https://www.kdnuggets.com/2014/05/big-data-bootcamp-santa-clara-talks-day-1-2.html

  • Method3: Experienced Big Data Software Engineer

    ...o extract, transform and load data. Implement algorithms and software needed to perform analyses. Process data in large-scale environments, in Amazon EC2, Storm, Hadoop, Spark. Analyze and model structured data using advanced statistical methods. Build recommendation engines, spam classifiers,...

    https://www.kdnuggets.com/jobs/14/02-27-method3-experienced-big-data-software-engineer.html

  • Real Time Data Mining, Sr. UX designer

    …to create illustrations, skin UI, and edit images is a strong plus. Working knowledge of REST applications Experience with Amazon technology such as EC2 and S3 Work experience with source revision software such git/svn. Ability to perform back-end task such as configuring server like nginx,…

    https://www.kdnuggets.com/jobs/13/07-15-adtheorent-senior-information-architect-ux-designer.html

  • Data Mining Programmer

    …e with source revision software such git/svn. Nice to have Expertise Knowledge of Data Mining and big data. Experience with Amazon technology such as EC2 and S3. Keen interest for Data Visualization. Ability to perform back-end task such as configuring server like nginx, tomcat, jetty, apache….

    https://www.kdnuggets.com/jobs/13/08-17-realtimedatasolution-data-mining-programmer-b.html

  • KDnuggets™ News 14:n18, Jul 16

    ...experiment plyrmr package for making R work seamlessly with Hadoop Useful for #DataScience: Simple script from setting up R, Git, and Jags on Amazon EC2 How companies use R to compete. Top KDnuggets tweets, Jul 2-3 - Jul 4, 2014. For advanced Data Scientists: Tutorial in Gradient boosting machines...

    https://www.kdnuggets.com/2014/n18.html

  • SaaS Analytics Solutions

    ...ametric methods, such as nearest neighbors, kernel density estimation, local regression, support vector machines. Free for academic use on the Amazon EC2 cloud. Birst, on-demand, automated business intelligence for fast, flexible analysis Datamine.it, will analyze your data and email you a report....

    https://www.kdnuggets.com/solutions/saas-analytics.html

  • KDnuggets™ News 13:n05, Feb 27

    ...tics at Netflix: Interview - Feb 23, 2013. In the interview Kalantzis and Brown comment on the lessons learned in deploying Cassandra in a production EC2 environment at Netflix, what was the result of their experiments with MongoDB, and more. Richard Boire on The Data Discovery: Investing in...

    https://www.kdnuggets.com/2013/n05.html

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

    ...ramming interface for Yottamine's growing family of predictive services. YPS is available exclusively to users of Amazon's AWS Elastic Compute Cloud (EC2) and Simple Storage Service (S3). These Amazon services allow YPS users to "rent" just the amount of computing power and data storage they need...

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

  • Big Data Analytics at Netflix: Interview

    ...- Cloud Persistence Engineering and Jason Brown, Senior Software Engineer both at Netflix. They were involved in deploying Cassandra in a production EC2 environment at Netflix. RVZ ... Q3. Why did you choose Apache Cassandra (C*)? Kalantzis, Brown: There's several reasons we selected Cassandra....

    https://www.kdnuggets.com/2013/02/big-data-analytics-at-netflix-interview.html

  • DARPA SBIR: Defense Against National Vulnerabilities in Public Data

    …, advanced marketing techniques (e.g., collaborative filtering, computational advertising), and low-cost big data analytic capabilities (e.g., Amazon EC2) provide a determined adversary with the tools necessary to inflict nation-state level damage? To what extent could a non-state actor collect,…

    https://www.kdnuggets.com/2013/08/darpa-sbir-defense-against-national-vulnerabilities-public-data.html

  • Data Mining / Analytic Publications News, Feb 2013

    ...tics at Netflix: Interview - Feb 23, 2013. In the interview Kalantzis and Brown comment on the lessons learned in deploying Cassandra in a production EC2 environment at Netflix, what was the result of their experiments with MongoDB, and more. Richard Boire on The Data Discovery: Investing in...

    https://www.kdnuggets.com/2013/02/publications-news.html

  • Data Science Toolkit API

    ...is essentially a specialized Linux distribution, with a lot of useful data software pre-installed and is available as a self-contained Vagrant VM or EC2 AMI. The API includes the following sub components: Text to Places ... IP Address to Coordinates ... Street Address to Coordinates ......

    https://www.kdnuggets.com/2013/02/data-science-toolkit-api.html

  • CRN 25 Big Data Infrastructure Companies

    ...se, Amazon Glacier for archival big data storage, and Amazon Elastic MapReduce providing the Hadoop framework through Amazon's Elastic Compute Cloud (EC2) service. Seattle, WA. Founded 1994. CA Technologies, provides a number of IT system capacity management tools to help businesses and service...

    https://www.kdnuggets.com/2014/06/crn-25-big-data-infrastructure-companies.html

  • Interview: John Funge, CTO, Knack on Why Gaming is the Next Big Thing for Hiring

    ...en advantage of many of the great tools that AWS offers for horizontal scaling in dealing with big data such as load-balanced auto-scaling groups for EC2 instances, the DynamoDB NoSQL database, and SQS. We have used Clojure running on the JVM for some data processing but are currently excited by...

    https://www.kdnuggets.com/2014/08/interview-john-funge-knack-gaming-hiring.html

  • Jimdo: Data Engineer

    ...ST) Experience with cloud-based infrastructure like Amazon Web Services with a strong focus on flexible web service and analytics infrastructure (AWS EC2, S3, EMR, RDS, Redshift) Technical skills to process large data volumes Continuous integration and deployment are terms you love to hear An agile...

    https://www.kdnuggets.com/jobs/16/06-30-jimdo-data-engineer.html

  • Hadoop Key Terms, Explained

    ...red to MapReduce in memory. For disk, it is almost 10 times faster. Spark can run on different environments/mode like stand-alone mode, on Hadoop, on EC2 etc. It can access data from HDFS, HBase, Hive or any other Hadoop data source. 10. Sqoop   Sqoop is a command line tool to transfer data...

    https://www.kdnuggets.com/2016/05/hadoop-key-terms-explained.html

  • Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters

    ...intelligence, Yahoo is happy to release CaffeOnSpark at github.com/yahoo/CaffeOnSpark under Apache 2.0 license. CaffeOnSpark can be tested on an AWS EC2 cloud or on your own Spark clusters. Please find the detailed instructions at Yahoo github repository, and share your feedback at...

    https://www.kdnuggets.com/2016/02/yahoo-caffe-spark-distributed-deep-learning.html

  • Jimdo: Data Scientist

    ...ery good knowledge of current developments in Data Science and Big Data. Keen to work within an innovative and flexible analytics infrastructure (AWS EC2, S3, RDS and Redshift). Awesome communication skills, and a high level of initiative and creativity. Always looking at the “bigger picture”,...

    https://www.kdnuggets.com/jobs/16/06-30-jimdo-data-scientist.html

  • NVIDIA: Solution Architect (Eastern Region)

    ...and cluster computing, and advance use cased of CNN for NLP, video analytics, and cyber security Experience with OpenStack, Xen-server, Esxi, KVM, or EC2. Education research, Gov. funded research experience MS or PhD desirable. NVIDIA is widely considered to be one of the technology world’s most...

    https://www.kdnuggets.com/jobs/16/10-19-nvidia-solution-architect-eastern-region.html

  • Industry Predictions: Key Trends in 2017

    ...s than hire elusive data scientists. For example, transfer learning will mitigate the need for large training sets and NVidia GPU instances on Amazon EC2 will make it easy for anyone to get started with deep learning in minutes. A focus for 2017 will also be on intelligently integrating analytics...

    https://www.kdnuggets.com/2016/12/industry-predictions-key-trends-2017.html

  • iSight Cloud – Lightning fast visualizations on large data sets

    ...(4000/36 * $1.675) to run our cluster. If, on average we run for about 40 hours/week, that is about $30k per month and more than $350K each year. See EC2 pricing chart below as of Oct 2016 for compute optimized instances. And, none of this analysis takes into account the resources necessary to...

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

  • Questions To Ask When Moving Machine Learning From Practice to Production

    ...st discussed aspect when people talk about "using" machine learning. Training models How do I train my models? Should I buy GPUs, custom hardware, or ec2 (spot?) instances? Can I parallelize them for speed? With ever-rising model complexity, and increasing demands on processing power, this is an...

    https://www.kdnuggets.com/2016/11/moving-machine-learning-practice-production.html

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

    …ing Amazon Machine Learning: use cases and a real example in Python and this excellent YouTube video Your first week on Amazon AWS, by Miles Ward for EC2 setup. And in Practice? Cross Validation There is no cross-validation methods, per se, in Amazon Machine Learning. The suggested way is to create…

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

  • Quad Analytix: Extraction Architect

    ...helors or Masters in Computer Science Python: celery, urllib2, lxml, selenium, eventlet, nltk, matplotlib, scrapbook extensions. Amazon Web Services (EC2, S3/Glacier, VPC) Devops tools like Puppet and Fabric. Knowledge of Nutch, Heritrix. NoSQL Databases such as MongoDB and Hadoop-Hbase. Statsd...

    https://www.kdnuggets.com/jobs/16/01-08-quadanalytix-extraction-architect.html

  • Real Time Data Solutions: Data Analyst

    ...e or equivalent work experience Proven record of work with very large structured and unstructured data sets Familiarity with AWS technologies such as EC2, S3. Strong background in applied mathematics and statistics. Expert knowledge of tool such as R, SPSS, Orange, or RapidMiner. Ability to use...

    https://www.kdnuggets.com/jobs/14/11-22-rtdsinc-data-analyst.html

  • RTDS: Senior Data Mining Developer

    ...h as nginx, tomcat, Jetty, and Apache.   Nice-to-Have Expertise Knowledge of data mining and big data. Experience with Amazon technology such as EC2 and S3. Working experience with source-revision software such Git/SVN. Practical knowledge of tool such as R, SPSS, Orange, and Rapid Miner....

    https://www.kdnuggets.com/jobs/14/11-20-rtdsinc-senior-data-mining-developer.html

  • UIUC: Postdoc, Radiation detection with big data analytics

    ...ta sets   Desired Skills and Qualifications Experience with geospatial information systems (GIS) Machine learning Setting up and using an Amazon EC2 Cloud (use of the Government Cloud a plus) Data mining Data fusion Experience in nuclear engineering and radiation detection is NOT required but...

    https://www.kdnuggets.com/academic/14/10-28-uiuc-postdoc-radiation-detection-big-data-analytics.html

  • Open Source Tools for Machine Learning

    ...rather than, say, image analysis. H2O can interact in a stand-alone fashion with HDFS stores, on top of YARN, in MapReduce, or directly in an Amazon EC2 instance. Github: github.com/h2oai/h2o Mahout The Mahout framework has long been tied to Hadoop, but many of the algorithms under its umbrella...

    https://www.kdnuggets.com/2014/12/open-source-tools-machine-learning.html

  • Hadoop as a Service: 18 Cloud Options

    ...oop as a cloud service. Amazon EMR provides a managed Hadoop framework to distribute and process vast amounts data across dynamically scalable Amazon EC2 (Elastic Compute Cloud) instances. CenturyLink, the cloud services provider, has six Hadoop blueprints. CSC, the large integrator and MSP, offers...

    https://www.kdnuggets.com/2015/04/hadoop-as-service-18-cloud-options.html

  • Big RAM is eating big data – Size of datasets used for analytics

    …near supervised learning) are clunky, slow, memory-inefficient and buggy (affecting predictive accuracy). Size of RAM of a single machine The size of EC2 instances with largest RAM: year type RAM (GB) 2007 m1.xlarge 15 2009 m2.4xlarge 68 2012 hs1.8xlarge 117 2014 r3.8xlarge 244 2016* x1 2 TB With…

    https://www.kdnuggets.com/2015/11/big-ram-big-data-size-datasets.html

  • CRN 2015 Big Data Infrastructure Companies

    ...; Amazon Glacier for archival data storage; and Amazon Elastic MapReduce, which provides the Hadoop framework through Amazon's Elastic Compute Cloud (EC2) service. Global (11 locations). Founded 2006. BlueData Software emerged from stealth mode, debuting its BlueData EPIC software platform that...

    https://www.kdnuggets.com/2015/05/crn-2015-big-data-infrastructure-companies.html

  • A Beginner’s Guide To Understanding Convolutional Neural Networks Part 1">Gold BlogA Beginner’s Guide To Understanding Convolutional Neural Networks Part 1

    ...-Facebook_New_Logo_(2015).svg.png http://mobilemarketingwatch.com/wp-content/uploads/2016/01/Is-Google-Searching-for-the-Next-Big-Thing1.jpg http://g-ec2.images-amazon.com/images/G/01/social/api-share/amazon_logo_500500._V323939215_.png...

    https://www.kdnuggets.com/2016/09/beginners-guide-understanding-convolutional-neural-networks-part-1.html

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