- Allen Institute: Asst. Investigator – Computational Neuroscience/Machine Learning - Jul 23, 2014.
Our mission is to accelerate the understanding of how the human brain works. Using a big science approach, we generate public resources, drive technological advances, and discover fundamental brain properties.
Allen Institute, Brain, Machine Learning, Neuroscience, Seattle-WA
- Top stories for Jul 13-19 - Jul 20, 2014.
Cartoon: Facebook data science experiment and Happy Cats; GraphLab Create: large-scale machine learning platform for graph, structured, and text data; MicroStrategy Analytics Desktop - visual tool, free download; Interview: Marc Smith on Why We Need Open Tools for Social Networks.
GraphLab, Machine Learning, Marc Smith, MicroStrategy, Poll, Top stories
- PredictionIO raised $2.5M for Open Source Machine Learning Server - Jul 17, 2014.
An open source machine learning server, PredictionIO, has raised $2.5M to help build smarter application everywhere. It seems that “smarter” is the new sexy.
App, Machine Learning, PredictionIO, Startups
- Top KDnuggets tweets, Jul 14-15: 5 R training programs; Making sense of text analytics - Jul 16, 2014.
Top 10 KDnuggets tweets, July 14-15: 5 R training programs; Making sense of text analytics; Watch: Machine Learning Summer School Pittsburgh 2014; US "Data Scientist" average salary up over 10%, to $112K.
Data Scientist, Machine Learning, R, Salary, Text Analytics
- GraphLab Create: large-scale machine learning platform for graph, structured, and text data - Jul 15, 2014.
GraphLab Create 1.0 brings large-scale machine learning capabilities to enterprises, and is the first to handle graph, structured, and text data in one platform.
Graph Analytics, GraphLab, Hadoop, Machine Learning
- BIDMach machine learning toolkit - Jul 14, 2014.
BIDMach machine learning toolkit offers "rooflined" (optimized to the limit) compute primitives and competitive performance on learning tasks like regression, clustering, classification, and matrix factorization.
Machine Learning, Open Source, Tools, UC Berkeley
- Top stories for Jun 29 – Jul 5 - Jul 6, 2014.
Do you need a Masters Degree to become a Data Scientist?; Is "Data Scientist" more than "Data Analyst" ?; When Watson Meets Machine Learning; 100 Big Data Companies Analyzed.
Big Data Vendors, Data Analyst, Data Scientist, IBM Watson, Machine Learning, Top stories
- When Watson Meets Machine Learning - Jul 2, 2014.
Our report on a recent Cognitive Systems meetup co-sponsored by IBM Watson and NYU Center for Data Science, IBM Watson Ecosystem, and machine learning applications, from healthcare to cognitive toys. You will want Fang!
App, Cognitive Computing, IBM, Machine Learning, Ran Bi, Watson
- Top KDnuggets tweets, Jun 23-24: Machine learning in the cloud: Microsoft Azure; Understanding Data Distribution - Jun 25, 2014.
Machine learning in the cloud: the brains behind Microsoft Azure; Understanding Data Distribution - key first step in analyzing a new data set; Mapmaking for R Programmers - an introduction. What is Text Analytics?
Machine Learning, Maps, Microsoft Azure, R, Text Analytics
- UNIGE: PhD position on Machine Learning for representation learning - Jun 23, 2014.
Develop new machine learning methods for representation learning. Position is funded for three years. Applications submitted by June 30 will be given priority.
Geneva-Switzerland, Machine Learning, PhD position, Representation
- Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 23 and beyond - Jun 23, 2014.
Reducing employee churn, Wolfram language, Rise of Machine Learning, Analytics with Hadoop, Social Media Analytics for Healthcare, and more.
Big Data Analytics, Employee Churn, Hadoop, Machine Learning, Wolfram
- LION Resources for Teaching Machine Learning and Optimization - Jun 23, 2014.
A great collection of resources for "LION: Learning and Intelligent Optimization" textbook includes slides, tutorial movies, exercises, use cases, and LIONoso - an academic version of LIONsolver software.
Data Science Education, LIONbook, LIONsolver, Machine Learning, Optimization
- Interview: Conal Sathi, Data Scientist, Slice on Creating Value from Mining Shoppers’ e-Receipts - Jun 16, 2014.
We discuss the relevance of "Purchase Graph", Slice platform, analytical insights from mining all activity around a customer's purchase, experimentation strategy, experience of working as a data scientist and more.
Conal Sathi, Consumer Insights, Experimentation, Graph Analytics, Interview, Machine Learning
- DLib: Library for Machine Learning - Jun 10, 2014.
DLib is an open source C++ library implementing a variety of machine learning algorithms, including classification, regression, clustering, data transformation, and structured prediction.
C++, DLib, Machine Learning, Open Source, Tools
- Apple: Sr. Software Engineer, Machine Learning - Jun 5, 2014.
Apply advanced techniques and algorithms to improve an ad network, develop and implement ad algorithms, yield optimization solutions and network data processes, deep understanding of the ad network behavior.
Apple, Cupertino-CA, Machine Learning, Online advertising, Software Engineer
- Big Data for Executives 2014: Day 2 Highlights - May 29, 2014.
Highlights from the presentations by Big Data experts from McKinsey Solutions, SAP, Techfetch, Weather Analytics on Day 2 of Big Data for Executives 2014.
Analytics, Big Data, Machine Learning, Visualization, Washington-DC
- Top KDnuggets tweets, May 26-27 - May 28, 2014.
Machine Learning Algorithms Tour: Regression, kNN, Regularization, Decision Tree; Where to Learn Deep Learning - Courses, Tutorials, Software; 9 Courses on Data Science, R, Machine Learning start on Coursera.
Algorithms, Brazil, Coursera, Data Science Education, Deep Learning, Machine Learning, World Cup
- Uni. Paderborn: Paid PhD position, Machine Learning / Predictive Analytics / Data Mining - May 27, 2014.
Support research projects in machine learning and data mining, help students in Kaggle competitions, help teach. Position is offered for 2 years with possible extension. This position is now closed.
Machine Learning, Paderborn-Germany, PhD position, Recommender Systems
- Interview: Martin Hack, CEO, Skytree on Industrializing Machine Learning for Big Data - May 26, 2014.
We discuss the mission of Skytree, product strategy, complimentary consulting programs, recent trends, and current expectations from Machine Learning.
Advanced Analytics, Machine Learning, Martin Hack, Predictive Analytics, Skytree
- Vowpal Wabbit: Fast Learning on Big Data - May 26, 2014.
Vowpal Wabbit is a fast out-of-core machine learning system, which can learn from huge, terascale datasets faster than any other current algorithm. We also explain the cute name.
Fast Learning, John Langford, Machine Learning, Microsoft, Vowpal Wabbit
- Where to Learn Deep Learning – Courses, Tutorials, Software - May 26, 2014.
Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.
Andrew Ng, Deep Learning, Geoff Hinton, Machine Learning, Yann LeCun
- TU-Darmstadt: Postdocs in Statistical NLP, IR, Machine Learning - May 24, 2014.
Researcher with a background in statistical NLP, machine learning, or IR for a postdoc position working to combine large-scale knowledge bases with semantic information from large amounts of text.
Germany, IR, Machine Learning, NLP, Postdoc, TU-Darmstadt
- MADALGO Summer School on LEARNING AT SCALE, August 11-14, Denmark - May 22, 2014.
MADALGO Summer School will teach the latest developments in learning at scale as applied to Big Data. Registration is free on a first-come-first serve basis. Denmark, Aug 11 - 14, 2014.
Big Data, Denmark, Machine Learning, Optimization, Summer School
- Stacking the Deck: The Next Wave of Opportunity in Big Data - May 20, 2014.
A leading venture capitalist explains why Big Data infrastructure market is mostly mature and where lies the next big area of opportunities related to Big Data.
Chip Hazard, Full Stack Analytics, Machine Learning, Network Effects, Startups, VC
- Exclusive: Tamr at the New Frontier of Big Data Curation - May 19, 2014.
Our exclusive profile of Tamr (former Data Tamer), the latest startup from legendary Michael Stonebraker, which emerged from stealth mode to address the new field of Big Data Curation.
Andy Palmer, Data Curation, Machine Learning, Michael Brodie, Michael Stonebraker, Startups, Tamr
- Top stories for May 11-17 - May 19, 2014.
Guide to Data Science Cheat Sheets; Watch: Basics of Machine Learning; Cartoon: Data Visualization meets 3-D Printer; Social Media and Web Analytics Innovation Summit 2014 Highlights.
3-D Printing, Cartoon, Cheat Sheet, Machine Learning, Summit, Top stories
- Top KDnuggets Tweets, May 14-15: Easier Facebook Network Analysis; Cloudera Live, a New Way to Start with Hadoop - May 16, 2014.
Facebook Network analysis, visualization is easier with httr from R wizard; Cloudera Live offers a new way start with #Hadoop - No downloads; Watch: Basics of Machine Learning ; BigML Machine Learning platform Spring Release.
BigML, Cloudera, Facebook, Hadoop, Machine Learning, R
- Resource-aware Machine Learning – Summer School 2014, Germany - May 16, 2014.
Summer school in Dortmund, Germany covers Machine Learning with Constrained Resources including topics like detecting astro particles using smartphones. Applications are due by June 30.
Dortmund, Germany, Machine Learning, Resource-aware, Summer School
- Sentiment Analysis Innovation Summit 2014: Day 1 Highlights - May 14, 2014.
Highlights from the presentations by opinion mining experts from Twitter, eBay and Samsung on Day 1 of Sentiment Analysis Innovation Summit 2014 in San Francisco.
Innovation, Machine Learning, San Francisco-CA, Semantic Analysis, Sentiment Analysis
- Watch: Basics of Machine Learning - May 14, 2014.
Watch series on machine learning, going from basics like Naive Bayes, Decision Tree, Generalization and Overfitting, to more complex topics like Hierarchical Agglomerative Clustering.
Machine Learning, Online Education, Victor Lavrenko, Youtube
- Top KDnuggets tweets, May 9-11: Data Mining for Statisticians; For teachers (and students) of Machine Learning - May 12, 2014.
Data Mining for Statisticians ; For teachers (and students) of #MachineLearning - Slides for LIONbook; Build a word cloud using R text mining tools - step-by-step; Graph Theory: Key to Understanding #BigData - graphs are not just for Google or eBay.
Graph Theory, LIONbook, Machine Learning, R, Statisticians, Text Mining
- Interview: Xinghua Lou (Microsoft) on Mining Clinical Notes and Big Data in Healthcare - May 7, 2014.
We discuss data mining of cancer clinical data, LDA topic model, challenges in mining clinical notes, big data in healthcare and more.
Healthcare, Interview, Machine Learning, Microsoft, Researchers, Xinghua Lou
- Top KDnuggets tweets, May 2-4: Big List of Machine Learning, #DataScience, and Statistics Resources - May 5, 2014.
Big List of Machine Learning, #DataScience, and Statistics Resources; 7 Free or low-cost ways to Learn Data Mining & Data Science ; Datasight.io - machine learning for the masses - now in beta; Every MIT undergrad will get $100 of Bitcoin.
Bitcoin, Data Science Education, Datasight.io, Machine Learning, MIT
- Top stories for Apr 27 – May 3 - May 4, 2014.
Cartoon: Data Scientist Salary Negotiation; 9 Free Books for Learning Data Mining and Data Analysis; MLTK: Machine Learning Toolkit in Java - free download; Mass Big Data Report 2014.
Cartoon, Free ebook, Machine Learning, Massachusetts, Top stories
- Top stories in April - May 2, 2014.
Apache Spark, the hot new trend in Big Data; Data Analytics Handbook - interviews with tech leaders, free download; Learning and Teaching Machine Learning; 9 Free Books for Learning Data Mining and Data Analysis.
Apache Spark, Data Science Education, Free ebook, Machine Learning, Top stories
- Top KDnuggets tweets, Apr 25-27: Recommended Tutorials for Data Scientists; How One Woman Hid Her Pregnancy from Big Data - Apr 28, 2014.
Recommended Tutorials for Data Scientists from PyCon 2014; How One Woman Hid Her Pregnancy from #BigData; MLTK: Machine Learning Toolkit in Java - free download; Deep Learning for Natural Language Processing.
Data Science Tutorial, Deep Learning, Java, Machine Learning, NLP, Pregnancy, Python
- MLTK: Machine Learning Toolkit in Java – free download - Apr 27, 2014.
MLTK is a collection of machine learning algorithms in Java, supporting Generalized Linear Models: Ridge, Lasso, Elastic Net, Regression Trees, Random Forests, and more. Free download under BSD license.
free download, Java, Machine Learning
- Top stories for Apr 20-26 - Apr 27, 2014.
Elusive Data Scientists Driving High Salaries; Data Workflows for Machine Learning; New Book: Social Media Mining - free PDF download; Microsoft Expands Big Data Platform.
Data Scientist, Machine Learning, Microsoft, Paco Nathan, Salary, Social Media Analytics
- Top KDnuggets tweets, Apr 23-24: It does look similar, but …; Why people are bad at technology predictions - Apr 25, 2014.
#BigData Cartoon: "It does look similar - but this one is powered by Hadoop"; Great list: 9 Python Machine Learning Books; Why people are bad at technology predictions; Too busy recommending things to experience them.
Cartoon, Hadoop, Machine Learning, Python, Quantum Computing
- Top KDnuggets tweets, Apr 18-20 - Apr 22, 2014.
Cross-validation pitfalls for regression/classification and how to avoid them; Data Workflows for Machine Learning ; Apache Spark, the hot new trend in Big Data ; Visual Analysis Best Practices - download a free guidebook from Tableau.
Apache Spark, Cross-validation, Machine Learning, Tableau
- Data Workflows for Machine Learning - Apr 20, 2014.
Paco Nathan compares several open source frameworks for Machine Learning workflows, including KNIME, IPython Notebook and related libraries, Cascading, Cascalog, and Spark/MLbase, and proposes 9 criteria to evaluate the best alternatives.
Data Workflow, IPython, Knime, Machine Learning, Paco Nathan
- Top stories for Apr 6-12 - Apr 13, 2014.
Learning and Teaching Machine Learning: A Personal Journey; Interactive Big Data Timeline; Big Data Vendor Analysis; Beyond the Science of Data Science.
Big Data Market, Machine Learning, Teaching, Timeline
- Prediction.io open source machine learning server - Apr 10, 2014.
Prediction.io is an open source machine learning server for predictive solutions, such as personalization or recommendations, built on top of scalable frameworks such as Hadoop and Cascading - ready to handle Big Data.
Machine Learning, Open Source, Personalization, PredictionIO, Recommendation Engine
- Top KDnuggets tweets, Apr 4-6: Apache Spark – a Fast #BigData Analytics Engine; Facebook #DataScience tools - Apr 7, 2014.
Apache Spark - a Fast #BigData Analytics Engine - very good, detailed overview! Facebook #DataScience team releases open-source tools; Top #BigData start-ups by employee satisfaction; My answer to "Which will be better for career prospects in Machine Learning".
Apache Spark, DataStax, Facebook, Georgia Tech, Machine Learning, MongoDB, Startups
- Book Review: Data Just Right - Apr 7, 2014.
An introduction to technology and software at play in the current quest to define the Big Data Analytics computing paradigm, the book Data Just Right is reviewed in detail here.
Apache Mahout, Book, Hadoop, Machine Learning, Pig, Python, R, Review
- Learning and Teaching Machine Learning: A Personal Journey - Apr 5, 2014.
Joseph Barr examines history and origins of Machine Learning and Artificial Intelligence and recounts his personal journey from statistics to industry to teaching machine learning and running R on Unix clusters.
Analytics, Machine Learning, Perceptron, Statistics
- Top KDnuggets tweets, Apr 2-3: Data scientists need their GitHub; How to make Data Scientist job less tedious - Apr 4, 2014.
Also Top stories in March: Machine Learning in 7 Pictures; import.io adds authenticated APIs, command line crawlers.
API, Data Scientist, GitHub, import.io, Machine Learning, Pictures
- ICS (Prague): AVAST Fellowships in machine learning and data science - Apr 3, 2014.
The fellows will work with internationally recognized scientists at ICS and participate in cutting edge technology projects, in cooperation with AVAST, a leading anti-virus maker. Apply by May 1.
antivirus, AVAST, Machine Learning, Prague-CR
- Top stories in March: Machine Learning in 7 Pictures; How Many Data Scientists? - Apr 2, 2014.
Also - The Dos and Donts of Data Mining; Is Data Scientist the right career path for you - Candid advice.
Advice, Career, Data Mining, Data Scientist, Machine Learning, Pictures, Top stories
- Top KDnuggets tweets, Mar 31 – Apr 1: Experfy marketplace for Data Science projects; Event Recommendation in Python - Apr 2, 2014.
Experfy launches a marketplace for #DataScience projects; Machine Learning Project: Event Recommendation in Python ; Anyone can see your email address on LinkedIn with this Chrome extension; 5 reasons to use R: free, popularity, power, flexibility, support.
Experfy, LinkedIn, Machine Learning, Marketplace, Python, R
- Exclusive Interview: Richard Socher, founder of etcML, Easy Text Classification - Mar 31, 2014.
An exclusive interview with Richard Socher, co-founder of etcML, a new and free tool for helping users with creating classifiers for text using machine learning.
etcML, Machine Learning, Richard Socher, Startups, Text Classification
- Top KDnuggets tweets, Mar 26-27: Watch “Statistics with R for newbies”; Coursera free #DataScience courses - Mar 28, 2014.
Also free ebooks on Practical Machine Learning: Innovations in Recommendations, and Apache Hive - How to access big data on Hadoop with SQL/HiveQL.
Apache Hive, Coursera, Hadoop, Machine Learning, newbies, R, Recommendations, Statistics
- Identity Fraud and Analytics – An Overview - Mar 26, 2014.
With the consumers being increasingly concerned about identity theft, leading financial institutions are leveraging analytics to detect Identity Fraud as it happens.
Boosting, Decision Trees, FCRA, Identity Fraud, Identity Theft, Logistic Regression, Machine Learning
- Top KDnuggets tweets, Mar 21-23: Machine Learning in Parallel with SVM; Good Data Sets for Data Science Practice - Mar 24, 2014.
Machine Learning in Parallel with SVM, GLM; Good Data Sets for Data Science Practice: Big enough, requires data engineering, rich; Cartoon: Why Madame Zaza, Fortune Teller, changes to Predictive Analytics; Top 45 #BigData Tools and Platforms for Developers
Cartoon, Data Science Platform, Datasets, Machine Learning, Platform, Support Vector Machines, Tools
- Top stories for Mar 16-22: Machine Learning in 7 Pictures; How Many Data Scientists are out there? - Mar 23, 2014.
Machine Learning in 7 Pictures; How Many Data Scientists are out there? Predictive Analytics Marketplaces; Data Scientist Salary Survey; How Deep Learning Analytics Mimic the Mind.
Deep Learning, Machine Learning, Marketplace, Predictive Analytics, Salary
- Zipfian Academy: Become a Data Scientist in 12 Intense Weeks - Mar 20, 2014.
Learn the practical skills you need through our immersive program in San Francisco. Zipfian Academy alumni have joined some of the top data science teams in Silicon Valley.
Data Science Education, Machine Learning, San Francisco-CA, Statistical Analysis, Zipfian Academy
- Top KDnuggets tweets, Mar 17-18: NSA metadata can find medical/financial conditions; Machine Learning in 7 Pictures - Mar 19, 2014.
Stanford students show NSA metadata can find medical, financial conditions; Machine Learning in 7 Pictures ; Social Networks are investing big in Artificial Intelligence; 7 Key Skills of Effective Data Scientists.
Artificial Intelligence, Machine Learning, Metadata, NSA, Privacy, Skills, Social Networks, Stanford
- KDnuggets 14:n06, How Many Data Scientists? Crossing the Chasm and Big Data; Trifacta vs Paxata - Mar 19, 2014.
Latest analytics, data mining, and data science news, including How Many Data Scientists are out there, exclusive interviews with Geoffrey Moore (Crossing the Chasm), Paco Nathan (Apache Mesos and Big Data Math), and Quentin Clark (Power of BI), and LIONbook completed.
Crossing the Chasm, Gregory Piatetsky, LIONbook, Machine Learning, Paco Nathan, Paxata, Quentin Clark, Trifacta
- Machine Learning in 7 Pictures - Mar 18, 2014.
Basic machine learning concepts of Bias vs Variance Tradeoff, Avoiding overfitting, Bayesian inference and Occam razor, Feature combination, Non-linear basis functions, and more - explained via pictures.
Basis functions, Bayesian, Concepts, Machine Learning, Pictures, Variance
- Top stories for Mar 9-15: How Many Data Scientists? - Mar 16, 2014.
How Many Data Scientists are out there? LIONbook: Machine Learning + Intelligent Optimization - completed, free personal download; Boston AnalyticsWeek: Big Data and Analytics Unconference, March 24-28; Upcoming Webcasts on Analytics, Big Data, Data Science.
Boston-MA, Data Scientist, free download, LIONbook, Machine Learning, Optimization, Unconference
- Top KDnuggets tweets, Mar 12-13: Machine learning explained in 10 pictures; Tutorial: Using Google BigQuery - Mar 14, 2014.
Machine learning explained in 10 pictures. The most important: Bias vs Variance; A Tutorial example: Using Google BigQuery with R; Visualizing Google Analytics Data With R; Exploratory Data Analysis on Udacity: Investigate, Visualize, and Summarize Data Using R.
Bias, BigQuery, Google, Google Analytics, Machine Learning, R, Udacity, Variance
- Top KDnuggets tweets, Mar 10-11: Deep Learning overview, free book; Best machine learning interview questions - Mar 12, 2014.
Deep Learning: Methods and Application, free book from Microsoft; Best interview questions to evaluate a machine learning researcher; Good list of Machine Learning Libraries in Python: scikit-learn, pandas, Theano, NLTK.
Dancing, Deep Learning, Healthcare, Interview Questions, Machine Learning, Python, scikit-learn
- LIONbook: Machine Learning + Intelligent Optimization – completed, free personal download - Mar 11, 2014.
This book combines two usually separated topics: machine learning and intelligent optimization, and does it with enough technical details to satisfy professionals, but also with concrete examples, vivid images, and fun. Buy a low-cost paperback or ebook (Kindle), or download a free PDF.
Book, ebook, free download, Kindle, Machine Learning, Optimization
- etcML Promises to Make Text Classification Easy - Mar 5, 2014.
etcML is a new and free tool that allows even novice user use the power of machine learning and text classification.
etcML, Machine Learning, Stanford, Text Classification
- Webinar: Building Predictive Apps with BigML API, March 11 - Mar 4, 2014.
BigML interface makes machine learning easy to use, the underlying API provides the same functionality enabling data scientists to quickly implement many machine learning and predictive applications. Learn more on March 11.
API, BigML, Machine Learning, Python
- Microsoft: Data Scientist - Feb 28, 2014.
Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.
Cloud, Machine Learning, Microsoft, Web services
- Top KDnuggets tweets, Feb 24-25: Applied R for the Social Scientist, free book; Great overview: Python Tools for Machine Learning - Feb 27, 2014.
Applied R for the Quantitative Social Scientist - a free 100 page ebook! Great overview: Python Tools for Machine Learning; MIT TR 50 Smartest Companies has many #BigData companies; Wolfram releases demo of breakthrough knowledge-based language.
ebook, Machine Learning, MIT, Python, R, Social Science, Wolfram
- Top KDnuggets tweets, Feb 21-23: Vincent Granville salary history, career path; Graf.ly: Making beautiful, interactive graphs - Feb 24, 2014.
Data Science Central founder Vincent Granville shares his salary history, career path; Graf.ly: Making beautiful, interactive graphs ; Qualitative Analytics: Why numbers do not tell the complete story? ; Leading US researcher Tom Mitchell deep insights on Machine Learning
Graf.ly, Interactive graphs, Machine Learning, Qualitative Analytics, Vincent Granville
- Uni-Weimar: Research positions in Big data analytics, IR, machine learning - Feb 15, 2014.
The Web Technology and Information Systems Group has several positions for PhDs and Postdocs to help research in Big data analytics, information mining and retrieval, machine learning, natural language processing, and information extraction.
Big Data Analytics, Germany, Machine Learning, PhD, Postdoc, Uni-Weimar
- Top KDnuggets tweets, Feb 5-6: A Deep Learning expert wins Dogs vs Cats competition; An alternative to R and Python: Julia - Feb 7, 2014.
A Deep Learning expert wins Dogs vs Cats competition with an almost perfect result; An alternative to R and #Python: Julia; Spark is a hot trend in #BigData but what is it exactly? Here is a explanation; etcML - Free Text-Analysis Tool - Machine Learning as a Service.
Apache Spark, Deep Learning, etcML, Julia, Machine Learning
- Feedzai: Data Scientist - Jan 17, 2014.
Feedzai is a startup with offices in Portugal and Silicon Valley working in online fraud prevention and digital payments, looking for Machine Learning Research Engineers and Data Scientists.
Digital Payments, Machine Learning, Online Fraud, Portugal
- Webcast: BigML Programmatic Machine Learning Made Easy, Jan 28 - Jan 9, 2014.
BigML Winter release offers enhanced performance and many new features for quickly building powerful predictive models, applications and services. Learn more on Jan 28 and get a 25% discount.
BigML, Machine Learning, Predictive Models
