()

• Cartoon: When Automation Goes Too Far - Apr 30, 2016.
  
  KDnuggets Cartoon looks into the future of Automated Data Science and Marketing - when will automation go too far?

  Automated, Automation, Beer, Cartoon, Marketing

• The Development of Classification as a Learning Machine - Apr 29, 2016.
  
  An explanation of how classification developed as a learning machine, from LDA to the perceptron, on to logistic regression, and through to support vector machines.

  Classification, Linear Discriminant Analysis, Logistic Regression, Perceptron

• Dealing with Unbalanced Classes, SVMs, Random Forests®, and Decision Trees in Python - Apr 29, 2016.
  
  An overview of dealing with unbalanced classes, and implementing SVMs, Random Forests, and Decision Trees in Python.

  Pages: 1 2 3

  Balancing Classes, Decision Trees, Precision, Python, Recall, Support Vector Machines, SVM, Unbalanced

• The Future of Your Data Strategy: Chief Data Officer Summit, San Francisco, May 26-27 - Apr 29, 2016.
  
  The Chief Data Officer Summit is coming to San Francisco on May 26 & 27 with speakers from Amazon, eBay, The World Bank, Bing, PayPal, US. Dept of Commerce and many more. Get a 10% discount with code KD10.

  CA, Chief Data Officer, IE Group, San Francisco, Summit

• World Bank Opens a Treasure Trove of Data - Apr 29, 2016.
  
  The World Bank just launched the beta of their Open Data site at beta.data.worldbank.org, built with React and Node.js by Wiredcraft.

  Data Science, Data Visualization, Open Data, World Bank

• Survey: Why Companies Still Fail to Get Full Value From Big Data - Apr 29, 2016.
  
  Any company that has decided to put efforts in data has to face bringing these projects from the design and development phase to the production phase at some point. So tell us how you do it. And we’ll tell you what we learned from you.

  Big Data, Dataiku, Production, Survey

• Angoss 9.6 Data Science Software Suite - Apr 29, 2016.
  
  Angoss software provides users with comprehensive scorecard building functionality that is fast, reliable, accurate, and business centric.

  Angoss, Data Science Platform, Optimization, Tableau

• University of Cincinnati Analytics Summit, May 20, 2016 - Apr 28, 2016.
  
  The summit will feature 2 leaders in the field as keynote speakers, and 17 companies presenting in the all-day industry tracks focusing on retail and consumer analytics, healthcare analytics, supply chain analytics, finance and insurance analytics and a special "bonus" track.

  Business Analytics, Cincinnati, Industry, OH

• Positioning a Machine Learning Company - Apr 28, 2016.
  
  The classic guide for entrepreneurs preparing a pitch is Sequoia’s Business Plan Template. This post aims to be a mere addendum to that in the age of machine learning.

  Business Strategy, Machine Learning, Startup, Startups, VC

• Data Scientist Survey: What Is An Interesting Result? - Apr 28, 2016.
  
  A survey requesting feedback from data scientists on their opinion of what an interesting result is. The survey is anonymous, has only a single mandatory question, and takes only 5 minutes.

  Analytics, Survey

• Webinar: High Performance Hadoop With Python, May 5th - Apr 28, 2016.
  
  On May 5th, Dr. Kristopher Overholt and Dr. Matthew Rocklin of Continuum Analytics will present a webinar on High Performance Hadoop with Python. Reserve your spot today!

  Continuum Analytics, Hadoop, Python, Webinar

• Building effective “Citizens Data Scientist” teams - Apr 28, 2016.
  
  The idea of citizen data scientists is being for more than a year, which suggests businesses to put the people from the business side in the work of exploring and analyzing data. Understand how you and your organisation can be benefitted by this.

  Pages: 1 2

  Citizen Data Scientist, Data Science Skills, Data Science Team

• Machine Learning for Artists – Video lectures and notes - Apr 28, 2016.
  
  Art has always been deep for those who appreciate it... but now, more than ever, deep learning is making a real impact on the art world. Check out this graduate course, and its freely-available resources, focusing on this very topic.

  Art, Convolutional Neural Networks, Deep Learning, Machine Learning, Recurrent Neural Networks

• Eugenics – journey to the dark side at the dawn of statistics - Apr 27, 2016.
  
  Today is the 80th anniversary of the death of Karl Pearson, one of the founding father of statistics (correlation coefficient, principal components, the p-value, and much more). He was also deeply involved with eugenics, a jarring reminder that truth often comes bundled with a measure of darkness.

  Correlation, Eugenics, Karl Pearson, Statistics

• Three Pitfalls to Avoid When Building Data Science Into Your Business - Apr 27, 2016.
  
  An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.

  Advice, Data Science Team

• Top KDnuggets tweets, Apr 12-26: The Race For AI: Google, Facebook, Amazon, Apple; Comprehensive Guide to Learning #Python - Apr 27, 2016.
  
  Data Science helps see where your country will stand in WW 3; Recommender Systems: New Comprehensive Textbook; Good read: Deep Learning in Neural Networks - extreme summary; The Race For #AI: Google, Facebook, Amazon, Apple rush to grab #AI startups.

  AI, Charu Aggarwal, Deep Learning, Python, Recommender Systems, Top tweets

• How to Remove Duplicates in Large Datasets - Apr 27, 2016.
  
  Dealing with huge datasets can be tricky, especially the data cleaning process. One of such processing is de-duplication, find out how you can solve this using the statistical techniques.

  CleverTap, Data Cleaning, Data Preparation

• Top Data Science Courses on Udemy - Apr 27, 2016.
  
  An overview of the very best that Udemy has to offer in data science education. Includes courses covering machine learning, Python, Hadoop, visualization, and more.

  Pages: 1 2 3

  Apache Spark, Brendan Martin, Data Science, Hadoop, Machine Learning, Python, Udemy

• KDnuggets™ News 16:n15, Apr 27: Deep Learning vs. SVMs, Random Forests; Python Guide for Data Science - Apr 27, 2016.
  
  When Does Deep Learning Work Better Than SVMs or Random Forests; Comprehensive Guide to Learning Python for Data Science; Top 10 IPython Notebook Tutorials for Data Science and Machine Learning; 5,000 KDnuggets Posts - Examining Our Most Popular Content

  Deep Learning, IPython, Python, random forests algorithm, Support Vector Machines

• The “Thinking” Part of “Thinking Like A Data Scientist” - Apr 26, 2016.
  
  People have a tendency to blindly trust claims from any source that they deem credible, whether or not it conflicts with their own experiences or common sense. Basic stats - common sense = dangerous conclusions viewed as fact.

  Data Scientist, Overfitting, P-value

• Deep Learning in Neural Networks: An Overview - Apr 26, 2016.
  
  This post summarizes Schmidhuber's now-classic (and still relevant) 35 page summary of 900 deep learning papers, giving an overview of the state of deep learning as of 2014. A great introduction to a great paper!

  Pages: 1 2 3

  Academics, Jurgen Schmidhuber, Neural Networks

• 5,000 KDnuggets Posts – Examining Our Most Popular Analytics, Big Data, Data Science stories - Apr 25, 2016.
  
  We mark 5000th KDnuggets Post on Wordpress platform and examine our most popular content - most viewed, most shared, and most viral.

  About KDnuggets

• Microsoft is Becoming M(ai)crosoft - Apr 25, 2016.
  
  This post is an overview and discussion of Microsoft's increasing investment in, and approach to, artificial intelligence, and how their philosophy differs from their competitors.

  AI, Artificial Intelligence, Computer Vision, Cortana, Machine Learning, Microsoft, Natural Language Processing, Speech Recognition

• Top stories for Apr 18-24: Top 15 Machine Learning Frameworks, Deep Learning vs. SVMs and Random Forests - Apr 25, 2016.
  
  When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Analysis and Data Science; Top 15 Frameworks for Machine Learning Experts; Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

  Top stories

• Schwab: Director, Institutional Analytics - Apr 25, 2016.
  
  Responsible for leading analytics and reporting projects related to several of Schwab financial product areas, including ETFs, mutual funds, managed accounts, fixed income, and insurance. The Director will lead a team to deliver thoughtful analysis, data-driven insights, actionable business recommendations, and strategic thought partnership.

  Analytics, CO, Director, Lone Tree, Schwab

• How machine learning is making bots more human - Apr 25, 2016.
  
  See how machine learning is making bots more human than ever - read the interview with a 17-year-old Chinese girl named XiaoIce who is actually a artificially intelligent chatbot.

  Bots, Machine Learning, Microsoft

• Turn your company into a data science-driven business in 6 steps - Apr 25, 2016.
  
  Transforming your business with (big) data analytics and data-driven insights is not a one-time event, but a journey. Here are 6 steps to help enterprises become data-science driven business and enjoy benefits along the way.

  Pages: 1 2

  Big Data, Data Science, Data-Driven Business

• Advantages of a Career in Data Science - Apr 23, 2016.
  
  As the rampant growth of data science continues across industries, the opportunities are plenty for both aspiring and expert data scientists. Here is an overview of data science industries, opportunities and work locations.

  Career, Data Science Education, Data Scientist, Industry

• Early bird vortex of 4 predictive analytics events, Chicago, Jun 20-23 - Apr 22, 2016.
  
  Chicago is whirling together four great analytics events on June 20-23, but early bird rates will blow away after May 6. Use KDN150 for additional savings.

  Chicago, IL, Manufacturing, PAW, Predictive Analytics World

• KxCon2016, International kdb+ programmer conference, May 19-22, Montauk, NY - Apr 22, 2016.
  
  Kdb+ time-series database provides high performance analytics on very large-scale datasets. Kdb+ users and coders will gather for KxCon2016, 3 days of presentations and hands-on workshops.

  Databases, kdb+, Montauk, NY, Programming Languages, Time Series

• SNOPUD: Data and Analytics Consultant - Apr 22, 2016.
  
  Seeking individual to use quantitative, data management and business intelligence techniques to solve analytical business problems and translate data into actionable insights for the entire organization and external partners.

  Analytics Consultant, Seattle, SNOPUD, WA

• When Does Deep Learning Work Better Than SVMs or Random Forests®? - Apr 22, 2016.
  
  Some advice on when a deep neural network may or may not outperform Support Vector Machines or Random Forests.

  Advice, Deep Learning, random forests algorithm, Support Vector Machines, SVM

• U. Tianjin: Faculty, Computer Science/Data Science - Apr 22, 2016.
  
  Seeking a professor whose assignment will involve both general bachelor level courses as well as specialized research oriented master level courses. The successful candidate will be expected to mentor students and have proven teaching experience.

  China, Computer Science, Data Science, Faculty, U. Tianjin

• 3 Signs That BI Will Never Be The Same Again - Apr 22, 2016.
  
  Gartner officially deemed 2016 the year of Modern BI and with this new era of BI changes are inevitable. Understand how the traditional BI is reshaping in this data century with Scrollytelling, citizen data scientist and new BI approaches.

  BI, Citizen Data Scientist, Narrative Science, Natural Language Processing, Quill

• Top 10 IPython Notebook Tutorials for Data Science and Machine Learning - Apr 22, 2016.
  
  A list of 10 useful Github repositories made up of IPython (Jupyter) notebooks, focused on teaching data science and machine learning. Python is the clear target here, but general principles are transferable.

  Data Science, Deep Learning, GitHub, IPython, Machine Learning, Python, Sebastian Raschka, TensorFlow

• Analyzing Log Data with Spark & Looker, Webinar May 18 - Apr 22, 2016.
  
  Learn how to set up a modern pipeline that collects, processes, and analyzes high-volume, machine-generated data. We’ll talk about popular collection mechanisms, do a hands-on log-parsing example in Spark, and discuss how to use Looker to get insights from event data.

  Apache Spark, Looker, Streaming Analytics

• ADMA Data Day – The Force Awakens: Sydney (Apr 27), Melbourne (Apr 29) - Apr 21, 2016.
  
  Exciting addition to Data Day: CMO of The Walt Disney Company Australia/New Zealand will speak about re-igniting the iconic Star Wars brand, and how his team used insights to target marketing activities to a broad range of consumers, leading up to the launch of Star Wars: The Force Awakens.

  ADMA, Australia, Melbourne, Star Wars, Sydney

• TMA Predictive Analytics and Data Mining Training – Washington DC, May 16-20, 23-24 - Apr 21, 2016.
  
  Successful analytics in the big data era does not start with data and software, but with hands-on, immersive training and goal-driven strategy - get it from The Modeling Agency in Washington, DC, May 16-20 and May 23-24.

  DC, Predictive Analytics, The Modeling Agency, TMA, Training, Washington

• Black Box Challenge Machine Learning Competition - Apr 21, 2016.
  
  Take part in an unusual machine learning competition — program an agent (in Python) that can play a game with unknown rules.

  Challenge, Competition, Machine Learning, Python

• Holding Your Hand Like a Small Child Through a Neural Network – Part 2 - Apr 21, 2016.
  
  The second of 2 posts expanding upon a now-classic neural network blog post and demonstration, guiding the reader through the workings of a simple neural network.

  Pages: 1 2

  Neural Networks

• Learn More About Pacific’s MS Analytics Program - Apr 21, 2016.
  
  The MS in Analytics at Pacific develops students’ technical skills though courses such as Data Wrangling, Machine Learning, and Dynamic Visualization. Students gain hands-on experience and industry connections to become game changers across multiple industries.

  Master of Science

• Best Data Science, Machine Learning Blogs from Companies and Startups - Apr 21, 2016.
  
  A collection of company data science blogs to follow and read. Top blogs have links to, and excerpts from, recent quality posts of particular interest.

  Pages: 1 2

  Advice, Blogs, Data Mining, Data Science, Machine Learning, Startup

• Altria Group: Data Scientists (Advanced Analytics professionals) - Apr 20, 2016.
  
  You think the secret to the universe is in a dataset somewhere. You are a leader and a story-teller; you know what makes things tick. You thrive on knowing that your insights could change how businesses look at their futures. If that sounds like you, then consider this outstanding career opportunity.

  Altria, Data Scientist, Richmond, VA

• Altria Group: Statisticians - Apr 20, 2016.
  
  Our Consumer and Marketplace Insight department uses best-in-class, techniques to provide leading market research and supports the development of innovative and cutting edge solutions to uncover actionable consumer insights.

  Altria, Richmond, Statistician, VA

• DuPont: Sr. Software Developer – BioInformatics/Genomics (ABT00001643) - Apr 20, 2016.
  
  Seeking a Senior Software Developer to work within agile software development teams to create and enhance software based on business-driven requirements, working closely with software architects, test engineers and product owners.

  Bioinformatics, CA, Developer, DuPont, Genomics, Hayward

• Holding Your Hand Like a Small Child Through a Neural Network – Part 1 - Apr 20, 2016.
  
  The first part of this 2 part series expands upon a now-classic neural network blog post and demonstration, guiding the reader through the foundational building blocks of a simple neural network.

  Pages: 1 2

  Neural Networks

• Metrics Gone Wrong  – How Companies Are Optimizing The Wrong Way - Apr 20, 2016.
  
  A critique of the over-abundant and misguided pursuit of metric completeness, and how it can result in incorrect "optimization."

  Algorithms, Metrics, Optimization

• Comprehensive Guide to Learning Python for Data Analysis and Data Science - Apr 20, 2016.
  
  Want to make a career change to Data Science using python? Well learning anything on your own can be a challenge & a little guidance could be a great help, that is exactly what this article will provide you with.

  Pages: 1 2

  Data Analysis, Data Science Education, DataCamp, Python

• KDnuggets™ News 16:n14, Apr 20: Top 15 Frameworks for Machine Learning Experts; How to Grow Your Own Data Scientists - Apr 20, 2016.
  
  Top 15 Frameworks for Machine Learning Experts; How to Grow Your Own Data Scientists; Association Rules and the Apriori Algorithm: A Tutorial; Automated Machine Learning: Changing the Game.

  Automated, Data Science Platform, Machine Learning, Recommender Systems

• Does Your Company Need a Data Scientist? - Apr 19, 2016.
  
  Your company needs a data scientist... doesn't it? It very well may not, but you need to know either way. Read on to determine whether or not your company could benefit from the skills of an on-board data scientist.

  Pages: 1 2

  Advice, Data Scientist, Noise

• Deep Learning for Chatbots, Part 1 – Introduction - Apr 19, 2016.
  
  The first in a series of tutorial posts on using Deep Learning for chatbots, this covers some of the techniques being used to build conversational agents, and goes from the current state of affairs through to what is and is not possible.

  Chatbot, Deep Learning, Siri

• Uplift Modeling Opportunities at PAW Chicago, June 20-23, 2016, and PAW New York - Apr 19, 2016.
  
  At Chicago's Predictive Analytics World for Business conference, June 20-23, 2016, and at New York’s PAW Business conference, uplift modeling will be covered in eight ways: across keynotes, sessions, and an article by PAW founder Eric Siegel. KDnuggets subscribers enjoy $150 off!

  Chicago, IL, New York City, NY, PAW, Predictive Analytics World, Uplift Modeling

• Top 15 Frameworks for Machine Learning Experts - Apr 19, 2016.
  
  Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.

  Data Science Tools, Deep Learning, Devendra Desale, Machine Learning, MLlib

• The MBA Data Science Toolkit: 8 resources to go from the spreadsheet to the command line - Apr 18, 2016.
  
  A great guide for the MBA, or any relatively non-technical convert, for getting comfortable with the command line and other technical skills required to excel in data science.

  Pages: 1 2

  GitHub, Haskell, Machine Learning, Python, R, SQL

• Microsoft: Senior Software Engineer, Bing - Apr 18, 2016.
  
  What if your job description were simply “Make tomorrow better?” That’s the essence of roles within our Bing Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.

  Bellevue, Bing, Microsoft, Software Engineer, WA

• Top stories for Apr 10-17: New Deep Learning Book Finished, Pocket Guide to Data Science - Apr 18, 2016.
  
  New Deep Learning Book Finished; A Pocket Guide to Data Science; 7 Steps to Mastering Machine Learning With Python; From Science to Data Science, a Comprehensive Guide for Transition; Automated Machine Learning: Changing the Game

  Top stories

• Internet of Things: “Connected” Does Not Equal “Smart” - Apr 18, 2016.
  
  "Connected" and "smart" are not synonyms, and bridging the gap takes a lot of upfront work; but with work invested in identifying, understanding and supporting the key decisions, the more productive the data science will be.

  Pages: 1 2

  EMC, Internet of Things, IoT, Smart City, Smart Data

• Welcome to the New GraphDB 7 from Ontotext - Apr 18, 2016.
  
  We are proud to introduce our GraphDB 7.0, the newest generation of semantic graph databases - it makes Powerful for Big Data Analytics a lot easier. Learn more at Apr 21 and Apr 28 webinars.

  Graph Databases, Ontotext

• Using Big Data Analytics To Prevent Crimes The “Minority Report” Way - Apr 18, 2016.
  
  The idea of using artificial intelligence for the crime prevention has been around for more than a decade. In this post, we present four examples, including how using analytics, we can prevent a criminal from re-offending.

  Big Data Analytics, Crime, Machine Learning, Surveillance

• Corios: Data Engineer - Apr 18, 2016.
  
  Seeking a data engineer, responsible for implementing data extraction, transformation, and load for clients in regulated industries such as financial services, insurance, retail, and energy sectors.

  Corios, Data Engineer, OR, Portland

• Corios: Data Architect - Apr 18, 2016.
  
  Seeking a data architect, responsible for the design and quality of data solutions such as analytic data marts, to lead the implementation of Corios' data solutions for clients in regulated industries.

  Corios, Data Architect, OR, Portland

• Corios: Junior Analytics Consultant - Apr 18, 2016.
  
  Seeking a candidate for an entry-level analytics consulting role; candidate will prepare and analyze data, interpret results, document findings and recommendations, and participate in client meetings and workshops.

  Analytics Consultant, Corios, OR, Portland

• Big Data Bootcamp, Dallas, May 13-15 - Apr 18, 2016.
  
  This is a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Use code KDNUGGETS to save.

  Big Data, Bootcamp, Dallas, Global Big Data Conference, Irving, TX

• SUNY Buffalo: Postdoctoral Associate in Data Mining and Bioinformatics - Apr 17, 2016.
  
  Developing machine learning and mathematics methodologies to address the computational challenges of analyzing massive genomic data for various biomedical applications.

  Bioinformatics, Buffalo, Data Mining, NY, Postdoc, SUNY Buffalo

• DuPont: Research Scientist/ Visualization Specialist – TRIAD - Apr 16, 2016.
  
  Provide leadership and drive delivery of scientific data visualizations, including geospatial, bioinformatics, population, and weather, for DuPont Pioneer research reporting.

  DuPont, IA, Johnston, Research Scientist, Visualization

• Weekend Reading List: Free eBooks and Other Online Resources - Apr 16, 2016.
  
  Do you have free time for reading this weekend? Here are a few new (or refreshed) selections of varying length for your leisure, along with a pair of papers, one cutting edge, and one classic.

  Deep Learning, Free ebook, Recommender Systems, Resources

• Introducing @KDnuggetsJobs, Data Science Job Finding Tool - Apr 15, 2016.
  
  KDnuggets is happy to introduce another tool for our readers in the process of looking for jobs: the @KDnuggetsJobs Twitter account, dedicated to sharing our Analytics, Data Science, and Big Data job listings.

  Added to KDnuggets, Jobs, Twitter

• Early bird deadline approaching – Chicago’s vortex of 4 analytics events - Apr 15, 2016.
  
  Chicago is whirling together four analytics events, June 20-23, 2016. Don't let the bird rates fly away - register by May 6 for best rates and getting extra saving with code KDN150.

  Chicago, IL, Manufacturing, PAW, Predictive Analytics World, Text Analytics

• 12 Inspiring Women In Data Science, Big Data - Apr 15, 2016.
  
  It’s been well documented that women don’t come close to parity in STEM fields with their counterparts. Could the rise of big data and data science offer women a clearer path to success in technology? Here’s a list of 12 inspiring women who work in big data and data

  Big Data, Data Science, InformationWeek, Women

• Recommender Systems: New Comprehensive Textbook by Charu Aggarwal - Apr 15, 2016.
  
  Covers recommender systems comprehensively, both fundamentals and advanced topics, organized into: Algorithms and evaluation, recommendations in specific domains and contexts, and advanced topics and applications.

  Book, Charu Aggarwal, Recommender Systems

• What Developers Actually Need to Know About Machine Learning - Apr 14, 2016.
  
  Some guidance on what, exactly, it is that developers need to know to get up to speed with machine learning.

  Advice, Developers, Machine Learning

• Association Rules and the Apriori Algorithm: A Tutorial - Apr 14, 2016.
  
  A great and clearly-presented tutorial on the concepts of association rules and the Apriori algorithm, and their roles in market basket analysis.

  Pages: 1 2

  Algobeans, Annalyn Ng, Apriori, Association Rules

• Automated Machine Learning: Changing the Game - Apr 14, 2016.
  
  Making sense of the mountains of data collected on a daily basis requires specialized data science skills that are hard to come by, and hard to keep. Augmented or even eliminated some of these specialized tasks with machine learning.

  Automated, Data Science, DataRobot, Machine Learning

• Schwab: Senior Manager, Marketing Analytics - Apr 14, 2016.
  
  Seeking a Senior Manager, Marketing Analytics, to primarily partner with the Acquisition team and help develop, measure, and optimize marketing strategies, working with analysts, statisticians, data engineers, marketing/media teams, and external vendors to deliver insight.

  Austin, Manager, Marketing Analytics, Schwab, TX

• How to Grow Your Own Data Scientists - Apr 14, 2016.
  
  How Zynga is “home growing” its own data science talent from the inside, by retraining some of our top analysts and engineers to become data scientists.

  Amy Gershkoff, Apprenticeship, Data Science Education, Data Scientist, Zynga

• Embedding Data and Analytics with Looker, Apr 28 Webinar - Apr 14, 2016.
  
  Delivering data and analytics to your customers should be straightforward. The Looker Data Platform allows for easy access to data through a robust API and embeddable charts, tables and dashboards.

  Analytics, API, Dashboard, Looker

• TD: Sr. Manager, Visualization - Apr 13, 2016.
  
  Seeking a Senior Manager, Visualization, as a key part of a dynamic, innovative team that develops statistical models, data mining/analytical solutions and visualization solutions, and engages in leading-edge analytical and modelling work.

  Canada, Manager, ON, TD, Toronto, Visualization

• TD: Sr. Manager, Analytics Innovation - Apr 13, 2016.
  
  Seeking a Senior Manager, Analytics Innovation, to be part of a dynamic, innovative team, exhibiting hands-on experience working in Big Data Analytical environments, a deep understanding of analytical techniques, and previous success building strong working relationships. 

  Analytics Innovation, Canada, Manager, ON, TD, Toronto

• Regression & Correlation for Military Promotion: A Tutorial - Apr 13, 2016.
  
  A clear and well-written tutorial covering the concepts of regression and correlation, focusing on military commander promotion as a use case.

  Pages: 1 2

  Algobeans, Correlation, Military, Regression

• TD: Sr. Manager, Data Science - Apr 13, 2016.
  
  Seeking a Senior Manager, Data Science, with a deep understanding of data mining and analytical technique, with a passion for doing leading-edge analytical work with big data alongside a dynamic, innovative team.

  Canada, Data Science, Manager, ON, TD, Toronto

• TD: Data Scientist - Apr 13, 2016.
  
  Seeking a Data Scientist with a deep understanding of data mining and analytical technique, with a passion for doing leading-edge analytical work with big data alongside a dynamic, innovative team.

  Canada, Data Scientist, TD, Toronto

• Top KDnuggets tweets, Apr 6-11: Using Machine Learning to predict Villanova win; Deep Learning for Beginners – notes by research leaders - Apr 13, 2016.
  
  Deep Learning for Beginners - notes by research leaders ; Here is how Matt Harvey used #MachineLearning to predict #Villanova win; Brilliant #Dilbert cartoon: Management class on NOT listening finally pays off; #DeepLearning: 5 People To Know @AndrewYNg @Ylecun @karpathy @Peteskomoroch; #use Text Control: No formatting, No Character Formatting, Template: Default

  Basketball, Cartoon, Deep Learning, Dilbert, Top tweets

• Caravel: Airbnb’s data exploration platform - Apr 13, 2016.
  
  For data exploration, discovery, and collaborative analytics, AirBnB have built and open sourced, a data exploration and dashboarding platform named Caravel. It allows data exploration through rich visualizations while performing fast and intuitive “slicing and dicing” of your dataset.

  AirBnB, Data Exploration, Data Science Tools

• Advantages and Risks of Self-Service Analytics - Apr 13, 2016.
  
  Self-service analytics is likely to spread in all the business layers, and with proper care to avoid certain risks, the culture of self-service analytics will help all organizations.

  Analytics, Citizen Data Scientist, Gartner, Risks, Self-service

• KDnuggets™ News 16:n13, Apr 13: Signs of a Bad Data Scientist; Deep Learning from 30,000 Feet; Analytics Survey - Apr 13, 2016.
  
  10 Signs Of A Bad Data Scientist; Deep Learning from 30,000 feet; IDC/KDnuggets Advanced Analytics Survey - please participate; A Pocket Guide to Data Science; Basics of GPU Computing for Data Scientists

  Data Science, Deep Learning, GPU, IDC, Survey

• RetailMeNot: Principal Data Scientist, Attribution - Apr 12, 2016.
  
  Lead the development of our retailer/brand attribution modeling and pricing analytics, and collaborate with product/ business teams to translate insights into a holistic pricing strategy to optimize for retailer/brand ROI goals and help RMN grow our share of marketing budgets.

  Austin, Data Science, Director, RetailMeNot, TX

• IDC/KDnuggets Advanced Analytics Survey – please participate - Apr 12, 2016.
  
  What are the use cases for machine learning? What's the typical analytics workflow? Should we have a data science team? Should we outsource our analytics? Help IDC and KDnuggets answer these questions and read the results on KDnuggets and in other places.

  Advanced Analytics, Data Scientist, IDC, Survey

• From Science to Data Science, a Comprehensive Guide for Transition - Apr 12, 2016.
  
  An in-depth, multifaceted, and all-around very helpful roadmap for making the switch from 'science' to 'data science,' yet generally useful for data science beginners or anyone looking to get into data science.

  Pages: 1 2 3

  Advice, Bootcamp, Data Science, Kaggle, Python, R

• New Deep Learning Book Finished, Finalized Online Version Available - Apr 12, 2016.
  
  What will likely become known as the seminal book on deep learning is finally finished, with the online version finalized and freely-accessible to all those interested in mastering deep neural networks.

  Aaron Courville, Book, Deep Learning, Free ebook, Ian Goodfellow, Yoshua Bengio

• Workshop opportunities – Hadoop, R, Predictive Modeling - Apr 11, 2016.
  
  Spots are limited for the upcoming training workshops at Predictive Analytics World for Business, June 20-23, 2016 in Chicago. Check the new Hadoop workshop and instruction about advanced methods, modeling methods, R, and more – reserve your spot today.

  Chicago, Hadoop, IL, PAW, Predictive Analytics World, Predictive Modeling, R

• Simplifying the Internet of Things Conversation - Apr 11, 2016.
  
  The IoT is one of a number of new sources, along with social media and wearable computing, which can be combined with data science, collectively as the Big Data Killer App for organizations.

  Pages: 1 2

  Internet of Things, IoT

• A Pocket Guide to Data Science - Apr 11, 2016.
  
  A pocket guide overview of how to get started doing data science, with a focus on the practical, and with concrete steps to take to get moving right away.

  Pages: 1 2

  Advice, Beginners, Data Science

• CrowdFlower 2016 Data Science Report - Apr 11, 2016.
  
  A new data science report with survey results related to the success and challenges of data scientists, and where data science is going as a discipline.

  CrowdFlower, Data Science, Report

• 2016 ACM SIGKDD Innovation and Service Awards - Apr 11, 2016.
  
  ACM SIGKDD Innovation and Service Awards recognize outstanding technical innovations and outstanding professional contributions to the field of Big data, Data Mining, Knowledge Discovery, and Predictive Analytics.

  Awards, Jian Pei, KDD-2016, SIGKDD

• Top stories for Apr 3-9: Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists - Apr 10, 2016.
  
  7 Steps to Mastering Machine Learning With Python; Top 10 Essential Books for the Data Enthusiast; Deep Learning for Internet of Things Using H2O; Basics of GPU Computing for Data Scientists.

  Top stories

• Deep Learning from 30,000 feet - Apr 9, 2016.
  
  My very-high level overview of Deep Learning for Delta Sky Magazine, including neurons, a conspiracy, games, amazing feats of superhuman ability, and more - appropriate for reading at 30,000 feet.

  Deep Learning, Delta

• Adtech: Senior Director, Data Science - Apr 8, 2016.
  
  We are conducting a retained search for a Senior Director, Data Science, based in NYC. It’s one the most attractive data science job openings in the digital advertising ecosystem right now.

  Advertising, Data Science, Director, New York City, NY

• Big Data Innovation, San Francisco, April: Connect with Apple, NASA, and more - Apr 8, 2016.
  
  Very few "All-access" passes remain for the Big Data Festival in San Francisco, Apr 21-22, which let to access Big Data Innovation (Keynotes: Uber, US Dept of Commerce, Airbnb, LinkedIn), Internet of Things Summit (Keynotes: Apple, Samsung, ...), and Data Visualization Summit (Keynotes: MasterCard, NASA, Pinterest).

  Apple, Big Data Summit, CA, Data Visualization, IE Group, Innovation, IoT, NASA, San Francisco

• InVenture: Data Scientist - Apr 8, 2016.
  
  Seeking a Data Scientist with 3+ years in Data Science or a related field, who is excited about tackling Financial Inclusion, one of the world's largest challenges.

  CA, Data Scientist, Fintech, InVenture, Santa Monica

• Tricking Deep Learning - Apr 8, 2016.
  
  Deep neural networks have had remarkable success with many tasks including image recognition. Read this overview regarding deep learning trickery, and why you should be cognizant.

  Pages: 1 2

  Deep Learning, Image Recognition, TensorFlow

• Our World in Data – A Fantastic Site for Data-driven Analysis - Apr 8, 2016.
  
  Online open data repository and browser-based interaction site Our World in Data, from the University of Oxford, is a fantastic site for data-driven exploration.

  Data Visualization, Open Data

• Automatic Data Science: DataRobot, Quill and Loom Systems - Apr 8, 2016.
  
  Automatic data science is on the rise. This post examines three recent visionary solutions: DataRobot, Quill and Loom Systems.

  Pages: 1 2

  Automated Data Science, DataRobot, Loom Systems, Narrative Science, Storytelling

• ADMA Data Day, Sydney (Apr 27), Melbourne (Apr 29) - Apr 7, 2016.
  
  if you are an analyst working within or supporting the marketing department or advising senior decision makers, you'll definitely want to attend ADMA Data Day - Sydney, April 27 or Melbourne, April 29.

  ADMA, Australia, Melbourne, Sydney

• JSU Computational and Data-Enabled Science and Engineering Program - Apr 7, 2016.
  
  JSU is among the first minority serving institutions to create a Big Data focused doctoral and graduate program for MS and PhD in Computational and Data-Enabled Science and Engineering - apply now.

  Data Science Education, Jackson, Jackson State University, MS

• Logit Academy Data Science Program, Los Angeles - Apr 7, 2016.
  
  If you're interested in a career in data science, check new full-time 12-week hands-on program offered by Logit, taught by data scientists from top institutions in Southern California, including UCLA, USC and Caltech.

  CA, Data Science Education, Logit Academy, Los Angeles

• Stochastic Depth Networks Accelerate Deep Network Training - Apr 7, 2016.
  
  Read about the presentation and overview of a new deep neural network architectural method, and the response to some strong reaction that it brought about.

  Architecture, Deep Learning, Deep Neural Network, Machine Learning

• VIP Invitation to the Marketing Analytics & Data Science Conference - Apr 7, 2016.
  
  Join industry leaders at the inaugural Marketing Analytics & Data Science conference, San Francisco, June 8-10. KDnuggets readers enjoy a 20% discount.

  CA, Data Science, Marketing Analytics, San Francisco

• Basics of GPU Computing for Data Scientists - Apr 7, 2016.
  
  With the rise of neural network in data science, the demand for computationally extensive machines lead to GPUs. Learn how you can get started with GPUs & algorithms which could leverage them.

  Algorithms, CUDA, Data Science, GPU, NVIDIA

• ODSC East 2016: 3 ways to become a better Data Scientist - Apr 7, 2016.
  
  This year’s 2016 ODSC East brings together the most influential data scientists, practitioners, innovators, and thought leaders in data science and big data, including many open source data science pioneers.

  Boston, Data Science, MA, ODSC, Open Source

• Top KDnuggets tweets, Mar 30 – Apr 05: Top 10 Essential Books for #Data Enthusiast; If Hollywood Made #Movies About #MachineLearning - Apr 6, 2016.
  
  Top 10 Essential Books for #Data Enthusiast; If Hollywood Made #Movies About #MachineLearning; Learning to Code Diminishing Returns - coders training their digital replacements.

  Books, Programming, Skiing, Top tweets

• Ravel: Senior Data Scientist - Apr 6, 2016.
  
  Seeking a Lead or Senior Data Scientist to join our rapidly growing team; A senior member of the Data Science team, you will design systems to tackle tough problems in the legal domain and expand our award-winning products.

  CA, Data Scientist, Law, Ravel, San Francisco, Text Analytics

• Link Analysis for Fraud Detection: How Linkurious enabled investigation of the massive Panama Papers leaks - Apr 6, 2016.
  
  Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks scandal. ICIJ network of 370 journalists is using Linkurious to investigate the Panama Papers. Learn the inside story of the biggest data leak investigation in history.

  Fraud Detection, Linkurious, Money Laundering, Panama

• Deep Learning for Internet of Things Using H2O - Apr 6, 2016.
  
  H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.

  Deep Learning, H2O, Internet of Things, IoT, R

• SNOPUD: (Sr) Data and Analytics Consultant - Apr 6, 2016.
  
  Seeking individual to use quantitative, data management and business intelligence techniques to solve analytical business problems and translate data into actionable insights for the entire organization and external partners.

  Analytics Consultant, Seattle, SNOPUD, WA

• 10 Signs Of A Bad Data Scientist - Apr 6, 2016.
  
  With the number of people claiming to be a data scientist growing, the “true” data scientists are becoming hard to find. Here your guide identify the clues to catch a bad data scientists.

  Data Scientist, Skills

• KDnuggets™ News 16:n12, Apr 6: Top 10 Essential Books; Perfect Data Science Interview - Apr 6, 2016.
  
  Top 10 Essential Books for the Data Enthusiast; How to Compute the Statistical Significance of Two Classifiers Performance Difference; The Secret to a Perfect Data Science Interview; If Hollywood Made Movies About Machine Learning Algorithms.

  Books, Classifier, Complexity, Machine Learning

• Top March stories: R Learning Path: From beginner to expert in 7 steps; R or Python? Consider learning both - Apr 5, 2016.
  
  R Learning Path: From beginner to expert in 7 steps; R or Python? Consider learning both; Distributed TensorFlow Has Arrived; The Data Science Process, Rediscovered.

  Top stories

• View the agenda for PAW Chicago 2016 [Discount inside] - Apr 5, 2016.
  
  We are pleased to announce the outstanding program for Predictive Analytics World for Business, June 20-23 in Chicago. KDnuggets readers get reduced rate with code KDN150.

  Chicago, Eric Siegel, IL, PAW, Predictive Analytics World

• How IoT is Jeopardizing Your Business Security - Apr 5, 2016.
  
  With the rising wave of IoT devices, businesses everywhere are faced yet with another challenge: to ensure an adequate security level while also continuously integrating new technologies.

  Advanced Analytics, IoT, Predictive Analytics

• Webinar: Predictive Analytics: Failure to Launch [Apr 14] - Apr 5, 2016.
  
  Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is Apr 14.

  Failure to Launch, Predictive Analytics, The Modeling Agency, TMA

• Open Data in Elections: Using Visualization and Graphical Discovery Analysis for Voter Education and Civic Engagement - Apr 5, 2016.
  
  This article makes a case for the importance of innovating using open data, its also proves that adapting open data principles with visual design can enhance transparency, foster accountability, and aid citizen and voter education in elections.

  Data journalism, Elections, Nigeria, Open Data, Sentiment Analysis

• Learn to apply data and predictive analytics to meet business objectives - Apr 5, 2016.
  
  The Penn State World Campus online MPS in Data Analytics – Business Analytics Option curriculum focuses on exploring and analyzing large data sets to support data-driven business decisions. Apply by July 1 to take classes in August.

  MS in Business Analytics, Online Education, Penn State

• TMA Predictive Analytics Data Mining Training – Washington DC, May - Apr 4, 2016.
  
  Successful analytics in the big data era does not start with data and software, but with hands-on, immersive training and goal-driven strategy - get it from The Modeling Agency in Washington, DC, May 16-20 and May 23-24.

  DC, Predictive Analytics, The Modeling Agency, TMA, Training, Washington

• Improve your processes with statistical models. - Apr 4, 2016.
  
  Learn how to solve more scientific, engineering and business problems correctly and faster by extracting powerful insights from existing data using proven, simple statistical modeling methods. Watch the webcast.

  JMP, Process Mining, Statistical Modeling

• Will Data Science Insure Our Future? - Apr 4, 2016.
  
  Could Data Science in the insurance industry actually reduce the price of policies, as individual companies and people are no longer being judged against the average, and might be incentivised to change their lifestyle to improve their policy?

  Big Data, Cars, Data Science, Insurance

• 3 Ways to Build an Analytics Dream Team - Apr 4, 2016.
  
  So your March Madness bracket is busted. Maybe that new algorithm can through the first round next year. It's never too early to start building your analytics Dream Team.

  Advice, Analytics, Analytics Team

• Salford Predictive Modeler 8: Faster. More Machine Learning. Better results - Apr 4, 2016.
  
  Take a giant step forward with SPM 8: Download and try it for yourself just released version 8 and get better results.

  Classification, Data Science Platform, Decision Trees, Regression, Salford Systems, TreeNet

• Top /r/MachineLearning Posts, March: Hugs, Deep Learning Navigation, 3D Face Capture, AlphaGo! - Apr 4, 2016.
  
  What's huggable, adversarial images for deep learning, overview of real-time 3D face capture and reenactment, deep learning quadcopter navigation, and a whole lot of AlphaGo!

  Adversarial, AlphaGo, Computer Vision, Deep Learning, Go, Machine Learning, Reddit

• 102 upcoming April – November Meetings in Analytics, Big Data, Data Mining, Data Science - Apr 4, 2016.
  
  Coming soon: MLConf NYC, PAKDD, Big Data Innovation Summit West, SDM 16, PASS Business Analytics Conference, TDWI Chicago, Apache Big Data North America, RE.WORK Deep Learning Summit, and many more.

  Boston, Chicago, London, New York City, Porto, San Francisco

• Top stories for Mar 27- Apr 2: 100 Active Blogs on Big Data, Data Science; Become A Machine Learning Expert in one step - Apr 3, 2016.
  
  100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning; How To Become A Machine Learning Expert In One Simple Step; R Learning Path: From beginner to expert in R in 7 steps; 7 Steps to Mastering Machine Learning With Python.

  Top stories