Interview: Andrew Duguay, Prevedere on the Hidden Value in Global Data Sets
We discuss the challenges in analyzing global economic datasets, impact of Big Data growth on economics, desired skills in data scientists, and more.
on Jul 31, 2015 in Andrew Duguay, Challenges, Economics, Interview, Prevedere, Trends
NYC Data Science Academy courses & bootcamps in Data Engineering, Data Science, R, Python, and Machine Learning
Upcoming training from NYC Data Science Academy: 6-Week Intensive Data Engineering Bootcamp, 12-Week Data Science Bootcamp, courses in R, Python, Data Science and Machine Learning, and more.
on Jul 31, 2015 in Apache Spark, Bootcamp, Data Science Education, Hadoop, Machine Learning, New York City, NY, NYC Data Science Academy, Python, R, scikit-learn
Interview: Andrew Duguay, Prevedere on Economic Intelligence from Integrating Public Datasets
We discuss Analytics at Prevedere Software, understanding the impact of external factors on a company’s performance, features of in-memory correlation engine and economic intelligence by Prevedere.
on Jul 30, 2015 in Andrew Duguay, Datasets, Economics, In-Memory Computing, Interview, Performance, Prevedere, Use Cases
Big Data Best-Practice Checklist for Small and Medium Enterprises
As more and more companies getting into the competition, it is important for the SMEs to get Big Data right from the start. Learn, how you can make most of the big data analytics.
on Jul 30, 2015 in Best Practices, Big Data Analytics, Checklist, FICO
Book: Mining Human Mobility in Location-Based Social Networks
This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks (LBSN) and illuminate a wide range of related computational tasks. It also highlights what are the unique characteristics and research opportunities of LBSN data.
on Jul 30, 2015 in Book, Huan Liu, Mobility, Morgan & Claypool
CRN 10 Coolest Big Data Startups
CRN identifies Top 10 startups which offer the coolest technology in big data. The list includes companies which focus on business intelligence, business & visual Analytics, Hadoop technology and cloud-based systems.
on Jul 30, 2015 in Big Data, CRN, Domo, Looker, Startups, Tamr
Big Data TechCon, Nov 2-4, Chicago, the HOW-TO Big Data Event
Plan now to attend Big Data TechCon in Chicago, to learn HOW-TO manage and analyze Big Data from your Web logs, social media interactions, transactions, sensors, etc. Use BIGDATA for special discount.
on Jul 29, 2015 in Apache Spark, Big Data, Chicago, Data Science Education, Hadoop, IL, Techcon
Impact of IoT on Big Data Landscape
The Internet of Things (IoT) is the next technological revolution, expected to generate over $300 B by year 2020, according to Gartner. The IoT will also generate unprecedented amounts of data and its impact will be felt across the entire big data universe.
on Jul 29, 2015 in Big Data, Hadoop, IoT, Kaushik Pal
TheWalnut.io: An Easy Way to Create Algorithm Visualizations
Google's DeepDream project has gone viral which allows to visualize the deep learning neural networks. It highlights a need for a generalized algorithm visualization tool, in this post we introduce to you one such effort.
on Jul 29, 2015 in Algorithms, Data Visualization, Javascript, Python
Webinar On-Demand: Your First Hire in Predictive Analytics (Hint: it is not a Data Scientist)
In a thriving analytic practice, the role of a data scientist is not defined by a person, but by a team. Within that team, several roles may be filled by one person-and several people may fulfill a given role.
on Jul 28, 2015 in Analytics Team, Data Science Team, Hiring, TDWI, TMA
Top KDnuggets tweets, Jul 21-27: Beginner Guide to Time Series Analysis; Free Deep Learning online course
Beginner #Guide to #TimeSeries #Analysis; Nvidia free #online course: Intro to #DeepLearning ; To Code or Not to Code with @KNIME; Guide To Linear #Regression
on Jul 28, 2015 in Deep Learning, Knime, NVIDIA, Quants, Time Series
Northwestern Online MS in Predictive Analytics
Build in-demand skills for the growing analytics field, prepare for leadership-level career, learn from distinguished faculty and industry experts, and build analytic expertise.
on Jul 28, 2015 in
Interview: Brian Kursar, Toyota on Big Data & Advanced Analytics – Cornerstones of Innovation
We discuss the Big Data architecture at Toyota, executives’ perception of Analytics, Toyota Innovation Fair, advice, trends, and more.
on Jul 28, 2015 in Advanced Analytics, Big Data, Brian Kursar, Career, Communication, Innovation, Interview, Toyota
Data Science Degrees – Analyzed and Visualized
We use Silk to create an interactive data site of data science degree programs with visualizations on line. The USA has 181 programs, more than the rest of the world combined. Western Europe follows.
on Jul 28, 2015 in Alex Salkever, Data Science Education, Data Visualization, Ryan Swanstrom, Silk.co, USA
Big Data for Sustainability
With big data about energy usage at the device level, enterprises are reducing consumption, optimizing processes for efficiency, and creating sustainability initiatives that advance them in economic, social, and environmental realms.
on Jul 28, 2015 in Big Data, Energy, Sustainability
Upcoming Webcasts on Analytics, Big Data, Data Science – Jul 28 and beyond
Integrating Customer Data at Scale, Drilling Insights Out of Big and Fast Data, Influencer Marketing, Apache Spark, and more.
on Jul 27, 2015 in Apache Spark, NoSQL, OpenText, Tamr
Interview: Brian Kursar, Toyota on What You Need to be Truly Data-Driven
We discuss Toyota’s Customer 360 Advanced Analytics and Insights platform, Product Quality Analytics system, Predictive Analytics use cases & performance assessment, and challenges in analyzing data from social media.
on Jul 27, 2015 in
CIKM Machine Learning Competition 2015
CIKM 2015 competition is focused on Australian Football league (AFL), and predicting outcomes of future AFL matches using machine learning techniques based on historical data on teams, players and their performances.
on Jul 27, 2015 in Australia, Competition, Football, Sports
Story-Boarding in a D3.js dashboard using Intro.js
Building the analytics dashboard using D3.js is a well-known practice now-a-days. Find out, how to enhance understanding of different components and what they actually contain.
on Jul 27, 2015 in Anmol Koul, D3.js, Dashboard, Javascript
Top stories for Jul 19-25: Data Science, Machine Learning Cheat Sheets; Coursera/Stanford MMDS free online course
50+ Data Science and Machine Learning Cheat Sheets; Stop Hiring Data Scientists Until Ready; Top June stories; Coursera/Stanford "Mining Massive Datasets" free online course.
on Jul 26, 2015 in Top stories
Data for Humanity: A Request for Support
The goal of this initiative is to bring people and institutions together who share the motivation to use Data for Common Good / human well-being. Join many other notable signatories.
on Jul 25, 2015 in Roberto Zicari, Social Good
Interview: Thanigai Vellore, Art.com on Why Big Data vs RDBMS is the Wrong Question
We discuss success factors with polyglot architectures, Big Data challenges, recommendations for using Big Data technologies, trends, advice, and more.
on Jul 24, 2015 in Architecture, Art.com, Big Data, Career, Challenges, Hadoop, Interview, RDBMS, Recommendations
From Big Data to Big Profits: A Lesson from Google’s Nest
Google Nest is a very interesting example of how such a seemingly simple item as thermostat, with the addition to Big Data can transform an industry and lead to significant profits.
on Jul 24, 2015 in Big Data, Google, HVAC, IoT, Nest, Profit, Russell Walker, Thermostat
You’re invited to join Dean Abbott & other industry thought leaders
Dean Abbott is a "rock star" hands-on practitioner - attend his keynote, hands-on methods workshop, and hands-on ensembles workshop at PAW Business, Boston, Sep 27 - Oct 1. Use KDN150 for KDnuggets discount.
on Jul 23, 2015 in Boston, Dean Abbott, MA, PAW, Predictive Analytics World
Interview: Thanigai Vellore, Art.com on Delivering Contextually Relevant Search Experience
We discuss the role of Analytics at Art.com, the polyglot data architecture at Art.com, the use cases for Hadoop, vendor selection, supporting semantic search and experience with Avro.
on Jul 23, 2015 in Architecture, Art.com, Avro, Hadoop, HBase, Interview, Semantic Analysis, Solr, Thanigai Vellore
Sentiment Analysis Symposium Summary and Highlights
Here, find out how leading analysts and researchers are exploring the sentiment analysis and text mining in their areas. Also, explore the opportunities, challenges and use-cases for the sentiment analysis.
on Jul 23, 2015 in Bing Liu, Cognitive Computing, New York City, NY, Sentiment Analysis, Seth Grimes, Steve Gallant
Coursera/Stanford “Mining Massive Datasets”, free online course
Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Sep 12 on Coursera and is free.
on Jul 22, 2015 in Anand Rajaraman, Coursera, Data Science Education, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
Disruptive Innovation and Competitive Intelligence
Disruptive innovation paradigm enables us to understand the rising competition in businesses. Here, we will show how this can be helpful to Competitive Intelligence and challenges ahead of it.
on Jul 22, 2015 in Big Data, Competitive Intelligence, Crowdsourcing, Debleena Roy
The Perpetual Quest for Digital Trust
Digital Trust is at a deficit – concludes the 2015 Accenture Digital Consumer Survey report “Digital Trust in the IoT Era”
on Jul 22, 2015 in Accenture, Consumer Insights, Information Management, IoT, Security, Survey, Trust
ACM SIGKDD 2015 Service Award to Jian Pei
Prof. Jian Pei wins ACM SIGKDD 2015 Service Award for his significant technical contributions to the principles, practice and application of data mining and for his outstanding services to society and the data mining community.
on Jul 22, 2015 in ACM, Awards, Jian Pei, SIGKDD
Data Mining/Data Science “Nobel Prize”: ACM SIGKDD 2015 Innovation Award to Hans-Peter Kriegel
Prof. Hans-Peter Kriegel wins ACM KDD Innovation Award for his influential research and scientific contributions to data mining in clustering, outlier detection and high-dimensional data analysis, including density-based approaches.
on Jul 22, 2015 in ACM, Awards, Clustering, Hans-Peter Kriegel, Innovation, SIGKDD
To Code or Not to Code with KNIME
Find out how KNIME allows us to integrating analytical languages, such as R and Python and visual design of SQL code. Also, learn to integrate your Hadoop, visualization and ETL systems with the KNIME.
on Jul 22, 2015 in Hadoop, Javascript, Knime, Michael Berthold, Python, R, SQL
Top KDnuggets tweets, Jul 14-20: The Master #Algorithm: Quest for the Ultimate #Learning #Machine; Most Influential Data Scientists
The Master #Algorithm: Quest for the Ultimate #Learning #Machine; Most Influential Data Scientists; 50+ #DataScience and #MachineLearning #CheatSheets; ;R remains primary #Analytics language, but #Python grows faster.
on Jul 21, 2015 in Cheat Sheet, Pedro Domingos, Python vs R, Starbucks
arXiv.org and the 24 Hour Research Cycle
ArXiv.org gives researchers the ability to instantly publish research, free of peer review and the publication cycle. This capability offers both advantages and pitfalls. We should warily eye the 24-7 news cycle as a cautionary tale for how this could go wrong.
on Jul 21, 2015 in arXiv, Data Science, Machine Learning, Research, Zachary Lipton
New Book: Mining Latent Entity Structures
This collection investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains.
on Jul 21, 2015 in Book, Jiawei Han, Latent Entity Structures, Morgan & Claypool, Topic Modeling
Young Data Scientist Book: Inspiration for the future
Focussing on ages 14 to 17, this book uses the space exploration for Data Science. Ultimate initiative of this book is to create an open curriculum to teach Data Science in schools.
on Jul 21, 2015 in Book, Data Scientist, NASA
Analyzing and Visualizing Flows in Rivers and Lakes with MATLAB
ADCPs and VMT have increased the pace of studies that rely on flow data. Find out how these toolkits from MathWorks are revolutionizing the analysis and visualisation processes.
on Jul 20, 2015 in Data Visualization, Data Workflow, MathWorks, MATLAB
Jun 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
Jun 2015 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Spotify, Unicorn Power Law, Twitter + Whetlab, Belong, ZestFinance.
on Jul 20, 2015 in Big Data, Experfy, Saama, Salesforce, Spotify, Startups, Twitter, ZestFinance
Upcoming Webcasts on Analytics, Big Data, Data Science – Jul 21 and beyond
Tips/Tricks for Customer Segmentation, Data Lake - Five Tips to Navigate, Listening vs Hearing, VEDO Intent, Integrating Customer Data at Scale, and more.
on Jul 20, 2015 in DataSift, Impetus, import.io, Lavastorm, Salford Systems, Tamr
Book: Healthcare Data Analytics
Written by prominent researchers and experts working in the healthcare domain, this book provides a clear understanding of the analytical techniques currently available to solve healthcare problems.
on Jul 20, 2015 in Book, Charu Aggarwal, Healthcare
Top stories for Jul 12-18: 50+ Data Science, Machine Learning Cheat Sheets; Deep Learning Adversarial Examples – Misconceptions
50+ Data Science and Machine Learning Cheat Sheets; Can deep learning help find the perfect date? Deep Learning Adversarial Examples - Clarifying Misconceptions; R, Python users show surprising stability, strong regional differences.
on Jul 19, 2015 in Top stories
Top June stories: Top 20 Python Machine Learning Projects; Which Big Data, Data Mining Tools go together?
Top 20 Python Machine Learning Open Source Projects; Which Big Data, Data Mining, and Data Science Tools go together?; Popular Deep Learning Tools - a review; Why Does Deep Learning Work?
on Jul 18, 2015 in Top stories
CHEMDNER competition: Chemical and drug name recognition task in patents
Want to test your data science skills? Get ready for the next text mining and information retrieval challenge by CHEMDNER.
on Jul 18, 2015 in CHEMDNER, Cheminformatics, Competition, Information Retrieval, Patents, Text Mining
Interview: Ali Vanderveld, Groupon on How Data Science is Changing the Global E-commerce Marketplace
We discuss the tools used for data science, competitive landscape, journey from astrophysics to data science, advice, skills sought in data scientists, and more.
on Jul 17, 2015 in Advice, Ali Vanderveld, Career, Competition, Data Science, Ecommerce, Groupon, Interview, Marketplace, Mobile
Stop Hiring Data Scientists Until You’re Ready for Data Science
Getting an unicorn and restraining it into the chains won't be helpful for you or the unicorn. Find out how you can tap into the potential of these new age unicorns.
on Jul 17, 2015 in Data Scientist, Greta Roberts, Hiring, Talent Analytics
Drag and Drop Visuals in your Interactive Dashboard – Gridster & D3.js
One aspect of BI self-service modules is the flexibility for the user to define his own story line and the order in which the user wants to see the visuals. Find out how you can build the rearrangeable dashboards.
on Jul 17, 2015 in Anmol Koul, D3.js, Dashboard, Javascript
IEEE ICDM 2015 Call For Research and Service Award Nominations
The IEEE ICDM awards recognize influential research contributions to the field of data mining, and major service contributions that have promoted data mining as a field and ICDM as the world premier research conference. Nominations due Aug 15.
on Jul 17, 2015 in Awards, Data Mining, ICDM, IEEE, Research
OpenImpact – solve social problems with your data skills
Help solve social problems with your data skills - DataLook #openimpact campaign has curated a list of 10 impressive reusable data-driven projects that can help to solve problems in your city.
on Jul 16, 2015 in DataLook, Social Good
Interview: Ali Vanderveld, Groupon on Vital Ingredients of Analytics-powered Sales Force
We discuss the role of Analytics at Groupon, deciding factors for merchant priority, limitations of historical data, optimizing the efforts of sales force, data characteristics and dealing with Data Sparsity.
on Jul 16, 2015 in Ali Vanderveld, Analytics, Challenges, Forecasting, Groupon, Interview, Marketing, Sales, Sparse data
Big Data – yes, that’s what a latest Sensational Rap Music Video is all about
Music video featuring Big Data and Hadoop (and Map-Reduce and NoSQL) might be all you need to light up your day!
on Jul 16, 2015 in Big Data, Data Scientist, Hadoop, MapReduce, Music, NoSQL, Viacom Velocity
Statistics Denial Myth: Repackaging Statistics With Straddling Terms
Data science is nothing but the old wine in new bottle versions of the statistics with different fields. Here, we are busting the myth which states data scientist is new and different than traditional statisticians.
on Jul 16, 2015 in Data Analysis, Data Management, Data Science Skills, Myths, Randy Bartlett, Statistics
Wharton Online: Strategic Value of Customer Relationships, Sep 28 – Nov 22
This 8-week online program (Sep 28 - Nov 22) by Wharton prof. Peter Fader, teaches how to decipher the streams of customer data flowing into your company. Enroll now.
on Jul 16, 2015 in Customer Analytics, Online Education, Peter Fader, Wharton
CYPHER 2015, Analytics India Summit – 12 Sep, Bangalore, India
Cypher 2015, organized by Analytics India Magazine, brings you India most exciting Analytics event of the year - connect with talented professionals, senior leaders and innovative analytics organizations.
on Jul 16, 2015 in Analytics India, Bangalore, India
IAPA Challenge the Chief Analytics Event, Sydney, Aug 4
Senior analytics professionals to be challenged by young guns in inaugural 'Challenge the Chief' event at IAPA national conference, Aug 4, Sydney, Australia.
on Jul 15, 2015 in ADMA, Australia, Chief Analytics Officer, IAPA, Sydney
Deep Learning Adversarial Examples – Clarifying Misconceptions
Google scientist clarifies misconceptions and myths around Deep Learning Adversarial Examples, including: they do not occur in practice, Deep Learning is more vulnerable to them, they can be easily solved, and human brains make similar mistakes.
on Jul 15, 2015 in Adversarial, Deep Learning, Ian Goodfellow, Myths, Regularization
Interview: Ramkumar Ravichandran, Visa on Customer-focus Mindset for Analytics
We discuss career advice, need for customer-focus, Analytics trends, desired skills in Data Science practitioners, and more.
on Jul 15, 2015 in Analytics, Customer Analytics, Hiring, Interview, IoT, Ramkumar Ravichandran, Trends, Visa
Predictive Policing – Free Book
This free book is an easy to digest introduction to the world of predictive analytics and Big Data. The book is written from a policing perspective and shows interesting views in how the power of the police force can be increased by focusing on predictive policing.
on Jul 15, 2015 in Crime, Free ebook, Police
Top KDnuggets tweets, Jul 7-13: Deep Learning and the Triumph of Empiricism
Deep Learning and the Triumph of Empiricism; What can Hadoop do that my data warehouse cant?; Emacs for Data Science; Dataiku DataScience Studio - intuitive solution.
on Jul 14, 2015 in Data Science, Data Warehouse, Dataiku, Deep Learning, Emacs, Hadoop
Upcoming Webcasts on Analytics, Big Data, Data Science – Jul 14 and beyond
Tips/Tricks for Customer Segmentation, Data Lake - Five Tips to Navigate, Future-Proof Streaming Analytics, The CAO v. The CDO, and more.
on Jul 14, 2015 in GridGain, IIA, Impetus, Lavastorm, Salford Systems
R, Python users show surprising stability, but strong regional differences
R remains the dominant language, with Python slowly catching up, and other languages shrinking. We also found surprising stability, with about 90% of R and Python users staying with that language, and strong regional differences.
on Jul 14, 2015 in Poll, Python, Python vs R, R
Interview: Ramkumar Ravichandran, Visa on Actionable Insights – Easier Said Than Done
We discuss Analytics at Visa, adapting to the Big Data world, gaps between expectations and delivery from Analytics, delivering Actionable Insights, and tools/technologies used.
on Jul 14, 2015 in A/B Testing, Analytics, Decision Making, Insights, Interview, Ramkumar Ravichandran, Tools, Visa
50+ Data Science and Machine Learning Cheat Sheets
Gear up to speed and have Data Science & Data Mining concepts and commands handy with these cheatsheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark and Machine learning algorithms.
on Jul 14, 2015 in Cheat Sheet, Data Science, Django, Hadoop, Machine Learning, Python, R
Lavastorm Webinar, July 22: Data Lake – Five Tips to Navigate the Dangerous Waters
Data lakes can boost analytic speed by making the right data much more accessible, even for less technical users. Learn valuable tips to help you optimize data for agility and speed to insight, improve accessibility, and avoid data silos.
on Jul 14, 2015 in Data Lakes, Lavastorm
How to properly present a Data Mining project?
Building models and getting insights are job half done for the data scientist, presenting them to the audience is an art itself. See, how to approach the presentation after wrapping up the data science project.
on Jul 14, 2015 in Algolytics, Data Preparation, Presentation
Continually Updated Data Science IPython Notebooks
Continually updated Data Science IPython Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
on Jul 13, 2015 in GitHub, IPython, Python, scikit-learn
3 Ways to Master Uplift Modeling
The hot topic of Uplift modeling (aka persuasion modeling) is covered in 2 sessions at PAW Business Boston, Sep 27 - Oct 1, and in a article by PAW Founder Eric Siegel.
on Jul 13, 2015 in Boston, MA, PAW, Predictive Analytics World, Uplift Modeling
Can Deep Learning Help you Find the Perfect Girl? – Part 2
Using Deep Learning to find the perfect match, PhD student Harm de Vries describes the process of data collection and analysis. Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.
on Jul 13, 2015 in Deep Learning, Love, OkCupid, Online Dating, Predictive Analytics
Hotlist of Training resources for Predictive Analytics
A hotlist of training resources for Predictive Analytics, Machine Learning, Data Science, R, Python, SAS, and Excel, including MOOCs, blogs, meetups, courses, videos, and more.
on Jul 13, 2015 in Coursera, Data Science Education, edX, Excel, Online Education, Predictive Analytics, Python, R, Sameer Chopra
Global Data Competition focused on Climate Change
This inaugural global data competition is focused on Climate Change and split into 22 regions around the world.
on Jul 12, 2015 in Climate Change, Competition
Top KDnuggets tweets, Jun 30 – Jul 06: Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books
How Screenshot Click Testing Proved that Beards Are Still A Thing; 16 Free #DataScience Books; How to avoid #Overfitting using #Regularization; #DataScience must read: quick puzzle tests your problem solving.
on Jul 12, 2015 in Beard, Free ebook, Geoff Hinton, Jurgen Schmidhuber, Overfitting, Regularization, Yann LeCun
Top stories for Jul 5-11: Deep Learning and the Triumph of Empiricism; Data Science != Big Data
Deep Learning and the Triumph of Empiricism; Data Science and Big Data: Two very Different Beasts; Top 20 R packages by popularity; 10 Key Tips for Entry-Level Analytics Professionals.
on Jul 12, 2015 in Top stories
Can deep learning help find the perfect date?
When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app - the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the pursuit of the perfect match.
on Jul 10, 2015 in Deep Learning, ICML, Love, Machine Learning, Online Dating, Predictive Analytics
Interview: Reiner Kappenberger, HP Security Voltage on Security Checklist for Data Architectures
We discuss securing data-at-rest and data-in-motion, security recommendations for data architectures, trends, advice, and more.
on Jul 10, 2015 in Architecture, HP, HP Security Voltage, Interview, Recommendations, Reiner Kappenberger, Security, Trends
Emacs for Data Science
Data science nowadays demands a polyglot developer and, choosing a correct code editor would definitely be a worthy investment. Here we provide, important features of Emacs and its advantages over other editors.
on Jul 10, 2015 in Data Science Tools, Emacs, R, SQL
ParseHub gives Data Scientists a better, faster way to collect data
ParseHub enables data professionals to easily collect, structure, combine and manipulate data, and speed up the Data Science process.
on Jul 10, 2015 in Data Cleaning, Data Preparation, Glassdoor, ParseHub
Webinar: Tips & Tricks for Customer Segmentation, July 21
We show customer segmentation of a German banking database, using different attributes to identify segments likely to be good credit risks. We will use CART and other algorithms like gradient boosting.
on Jul 10, 2015 in CART, Credit Risk, Customer Analytics, Salford Systems
Consumer and Market Research Info Kit
JMP free info kit helps you determine the best ways to meet and shape customer needs and includes a webcast interview on voice of the customer, a chapter from Numbersense book, a demo on planning with predictive modeling, and more.
on Jul 10, 2015 in JMP, Kaiser Fung, Market Research, Rob Reul
Interview: Reiner Kappenberger, HP Security Voltage on How to Secure Data-in-Motion
We discuss the security concerns in Big Data, challenges in securing Big Data locally and over cloud, and open source solutions – Knox and Ranger.
on Jul 9, 2015 in Challenges, Cloud, HP, HP Security Voltage, Interview, Open Source, Reiner Kappenberger, Security
7 must attend Big Data Conferences – best price ends soon
Multiple Global Big Data developer events, bootcamps, and conference will be held soon in San Francisco area, Boston, Seattle, Raleigh, Tampa and Austin.
on Jul 9, 2015 in Austin, Bootcamp, Boston, CA, FL, Global Big Data Conference, MA, NC, Raleigh, San Francisco, Seattle, Tampa, TX, WA
Lund University Develops an Artificial Neural Network for Matching Heart Transplant Donors with Recipients
Finding the correct donor for the transplant has been challenging and intensively researched usecase in data science. Here, you can find how MathWorks was used to resolve this problem.
on Jul 9, 2015 in Healthcare, Lund University, MATLAB, Neural Networks, Sweden
Data Science Made in Switzerland
Recently there was a data science conference at ZHAW Datalabs, which was attended by people with a wide range of skills, expertise, and levels. Check out the highlights of the events and future plans of the conference.
on Jul 9, 2015 in Data Science, Michael Brodie, Switzerland
Text Analytics Demands Insight, Intelligence and Integration – Free White Paper
The Incite Group recent white paper takes an in-depth look at the current state of text analytics and unstructured data to give you the tips and tools you need.
on Jul 9, 2015 in
Dataiku Data Science Studio – intuitive solution for data professionals
Data Science Studio (DSS) from Dataiku is an intuitive software solution that let data professionals harness the power of big data. The latest version DSS 2.0 brings predictive analytics to a whole new level in terms of collaboration and usability.
on Jul 8, 2015 in Data Science Platform, Dataiku
Interview: Reiner Kappenberger, HP Security Voltage on Data-Centric Security for Big Data
We discuss HP Security Voltage growth story, HP acquisition, assessing the state of current security standards, and the need for “data-centric” security.
on Jul 8, 2015 in Big Data, Data-Centric, HP, HP Atalla, HP Security Voltage, Interview, NIST, Reiner Kappenberger, Security
Big Data Innovation Summit, Boston, Sep 9-10
The Big Data Innovation Summit returns to Boston, Sep 9-10, with excellent speakers. Check agenda and get KDnuggets discount with code KD200.
on Jul 8, 2015 in Big Data Summit, Boston, IE Group, MA
Standardizing the World of Machine Learning Web Service APIs
We introduce Protocols and Structures for Inference (PSI) API specification which enables delivering flexible Machine Learning by specifying how datasets, learning algorithms and predictors can be presented as web resources.
on Jul 8, 2015 in API, Machine Learning, RESTful API, Web services
Deep Learning and the Triumph of Empiricism
Theoretical guarantees are clearly desirable. And yet many of today's best-performing supervised learning algorithms offer none. What explains the gap between theoretical soundness and empirical success?
on Jul 7, 2015 in Big Data, Data Science, Deep Learning, Mathematics, Statistics, Zachary Lipton
Strata + Hadoop World, New York City, Sep 29 – Oct 1
Strata + Hadoop World in New York sold out last year with more than 5,500 attendees. See what is new for 2015 and get 20% off with code KDNG by July 10.
on Jul 7, 2015 in Hadoop, New York City, NY, Strata
Top stories for Jun 28 – Jul 4: Top 20 R packages by popularity; Nine Laws of Data Mining
Top 20 R packages by popularity; Top 20 R Machine Learning and Data Science packages; Nine Laws of Data Mining; The missing D in Data Science.
on Jul 6, 2015 in Top stories
The Definitive Guide to doing Data Science for Social Good
Are you a data scientist, and looking for the opportunity to use your skill for social good? Here, you can find some of the options available for using the data science skills for well-being of society.
on Jul 6, 2015 in Data Science, DataKind, DataLook, Social Good
Data Science and Big Data: Two very Different Beasts
Creating artifact from the ore requires the tools, craftmanship and science. Same is the case of big data and data science, here we present the distinguishing factors between the ore and the artifact.
on Jul 6, 2015 in Big Data, Data Science, Sean McClure
10 Key Tips for Entry-Level Analytics Professionals
With so many companies hunting down the data scientist. There are few things which aspirants can do to increase their chances of being getting selected into the best ones.
on Jul 4, 2015 in Analytics, Burtch Works, Hiring, Tips
Cartoon: Where humans are still ahead of Deep Learning
Deep Learning computer recently beats humans in an IQ test, and computers have beaten human champions in Chess and Jeopardy. However, KDnuggets cartoon finds an area where humans still have an advantage.
on Jul 3, 2015 in Cartoon, Deep Learning, Humor
Doubt and Verify: Data Science Power Tools
In the end, there is no truth, no ultimate ground truth, no lie-free utterances, as everything is contextual based on incomplete facts and knowledge. All world models are flawed, but Data Science has 2 power tools.
on Jul 3, 2015 in Bias, Data Science, Michael Brodie
Microsoft Research Faculty Summit #FacSumm, keynotes streamed live July 8-9
Microsoft Research Faculty Summit will be streamed live from Redmond, WA, July 8-9. 2015 event focuses on AI and will feature three keynote speakers and a panel.
on Jul 2, 2015 in AI, Eric Horvitz, Microsoft, Research
70+ upcoming July – December Meetings in Analytics, Big Data, Data Mining, Data Science
Coming soon: Sentiment Analysis (NYC), TDWI The Analytics Experience (Boston), KDD-2015 (Sydney), Scala by the Bay, Global Big Data Conference (Santa Clara), Big Data Innovation Summit, and more.
on Jul 2, 2015 in Australia, Boston, CA, Chicago, France, Germany, Hamburg, IL, MA, Paris, San Francisco, Sydney
Top /r/MachineLearning Posts, June: Neural Network Generated Images, Free Data Science Books, Super Mario World
Generating images with neural networks, free data science books, machine learning for playing Mario, implementing neural networks in Python, and video generation based on terms were all covered this month on /r/MachineLearning.
on Jul 2, 2015 in Convolutional Neural Networks, Data Science, Free ebook, Machine Learning, Neural Networks, numpy, Python, Reddit, Video Games, Youtube
KDnuggets Interview: Amr Awadallah, CTO & Co-founder, Cloudera on the Secret Sauce of Open Source
We discuss the critical success factor for open source projects, entrepreneurial lessons, advice, desired qualities in data scientists and more.
on Jul 2, 2015 in Amr Awadallah, Apache, Cloudera, Data Science Skills, Entrepreneur, Hadoop, Hiring, Interview, Open Source
DataLead – Leading the Way in Big Data, Paris, Nov 5-6
Jointly organized by Berkeley MFE Program and ENSAE ParisTech (U. Paris Saclay) this conference will examine how big data is being applied to real world business issues with a particular focus on finance, insurance, and marketing.
on Jul 1, 2015 in DataLead, France, Paris, UC Berkeley
The missing D in Data Science
Data science is often talked in terms of tools, insights and emerging use cases, but one of its important pillars domain expertise is left out. Find out why you should be concerned about it.
on Jul 1, 2015 in Data Science, Debleena Roy, Domain Knowledge, Sherlock Holmes
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