()

• Top KDnuggets tweets, Aug 24-30: #DataScientist – sexiest job of the 21st century until …; Activation Function in #NeuralNetworks. - Aug 31, 2016.
  
  Cartoon: #DataScientist - sexiest job of the 21st century until ...; What is the Role of the Activation Function in Neural Networks?; LinkedIn Machine Learning team tutorial on building #Recommender system; Create a #Chatbot for #Telegram in #Python to Summarize Text.

  AI, LinkedIn, Mathematics, Neural Networks, Recommender Systems, Top tweets

• Learning from Imbalanced Classes - Aug 31, 2016.
  
  Imbalanced classes can cause trouble for classification. Not all hope is lost, however. Check out this article for methods in which to deal with such a situation.

  Pages: 1 2

  Balancing Classes, Bayesian, Learning from Data, Sampling, Tom Fawcett

• Booking: Data Scientist – Machine Learning - Aug 31, 2016.
  
  Booking.com is looking for rock star Data Scientists to add to join their highly successful Personalization Team, crunching data and providing customers with the most relevant personalized recommendations.

  Amsterdam, Booking.com, Data Scientist, Machine Learning, Netherlands

• Booking: Data Scientist – Analytics - Aug 31, 2016.
  
  Booking.com is seeking data savvy professionals to join their team of data scientists, to work with stakeholders throughout the company to generate understanding, strategy and suggest actions based on data.

  Amsterdam, Analytics, Booking.com, Data Scientist, Netherlands

• How Convolutional Neural Networks Work - Aug 31, 2016.
  
  Get an overview of what is going on inside convolutional neural networks, and what it is that makes them so effective.

  Pages: 1 2

  Brandon Rohrer, Convolutional Neural Networks, Image Recognition, Neural Networks

• What is the Role of the Activation Function in a Neural Network? - Aug 30, 2016.
  
  Confused as to exactly what the activation function in a neural network does? Read this overview, and check out the handy cheat sheet at the end.

  Linear Regression, Logistic Regression, Neural Networks

• Hitachi: Research Scientist, Machine Learning - Aug 30, 2016.
  
  Hitachi is seeking a Research Scientist in the Big Data Laboratory located in Silicon Valley, with a mission of helping create new and innovative solutions in big data and advanced analytics.

  CA, Hitachi, Machine Learning, Research Scientist, Santa Clara

• How to Become a Data Scientist – Part 2 - Aug 30, 2016.
  
  Check out part 2 of this excellent series of articles on becoming a data scientist, written by someone who spends their day recruiting data scientists. This installation focuses on learning.

  Pages: 1 2

  Career, Data Science, Data Science Skills, Data Scientist, Skills

• Whitepaper: Big Data Visualization With Datashader - Aug 30, 2016.
  
  Download this free whitepaper on how datashader helps tame the complexity of visualizing large amounts of data, along with examples for accomplishing this.

  Anaconda, Big Data, Continuum Analytics, Data Visualization, White Paper

• PAPIs 16 Conference on Predictive Applications & APIs, Oct 10-12, Boston - Aug 30, 2016.
  
  PAPIs is the premier forum for the presentation of new machine learning APIs, techniques, architectures and tools to build intelligent applications. It also hosts the world’s 1st startup competition where the jury is an AI.

  API, Applications, Boston, Claudia Perlich, MA, Machine Learning, Startups

• New Book: TensorFlow for Machine Intelligence, KDnuggets Offer - Aug 30, 2016.
  
  TensorFlow for Machine Intelligence is a hands-on introduction to learning algorithms and the "TensorFlow book for humans." KDnuggets readers get a 25% discount, available here.

  Book, Deep Learning, TensorFlow

• Top Stories, Aug 22-28: How to Become a Data Scientist; 10 Need to Know Machine Learning Algorithms - Aug 29, 2016.
  
  How to Become a Data Scientist; 10 Need to Know Machine Learning Algorithms; How to Become a (Type A) Data Scientist; Cartoon: Data Scientist: The sexiest job of the 21st century until...

  Top stories

• Up to Speed on Deep Learning: July Update - Aug 29, 2016.
  
  Check out this thorough roundup of deep learning stories that made news in July. See if there are any items of note you missed.

  Cats, Deep Learning, DeepMind, Google, GPU, Healthcare, Machine Learning

• Data Mining Tip: How to Use High-cardinality Attributes in a Predictive Model - Aug 29, 2016.
  
  High-cardinality nominal attributes can pose an issue for inclusion in predictive models. There exist a few ways to accomplish this, however, which are put forward here.

  Feature Engineering, Feature Selection, Predictive Models

• KNIME Summit, San Francisco, Sep 14-16, KDnuggets Offer - Aug 29, 2016.
  
  KNIME, a leading open Analytics Platform is holding a first North American summit in San Francisco. Use code SUMMIT_KDNUGGETS to get 10% discount. Early bird rates till Sep 4.

  Analytics, CA, Knime, Michael Berthold, San Francisco

• U. of Virginia: Tenure-track or tenured faculty position in Quantitative Analysis - Aug 29, 2016.
  
  Applicants must have a PhD in Decision Sciences, Data Science, or related areas, ability to teach in MBA and Executive Education formats, and a strong research record.

  Charlottesville, Faculty, Quantitative Analytics, University of Virginia, VA

• PAW Healthcare: Improve patient care with predictive analytics, Oct 23-27, New York - Aug 29, 2016.
  
  Predictive analytics can help medical professionals reduce costs, improve outcomes, an increase patient satisfaction. Learn from keynotes, dozens of sessions and workshops how to apply these lessons to your own organization. Use code KDN150 to save.

  Healthcare, New York City, NY, PAW, Predictive Analytics World

• Rio Olympics 2016 on Twitter: Positive Sentiment (75%), Water Sports, Simone Biles Win - Aug 27, 2016.
  
  Who were the most talked about athletes in the 2016 Rio Olympic Games? Which sport was most cited by users? What was the overall sentiment? This analysis by Expert System provides the detailed answers.

  Expert System, Olympics, Rio, Sentiment Analysis, Sports

• Cartoon: Data Scientist – the sexiest job of the 21st century until … - Aug 27, 2016.
  
  This Data Scientist thought that he had the sexiest job of the 21st century until the arrival of the competition ...

  Automated, Automated Data Science, Cartoon, Tom Davenport

• MDL Clustering: Unsupervised Attribute Ranking, Discretization, and Clustering - Aug 26, 2016.
  
  MDL Clustering is a free software suite for unsupervised attribute ranking, discretization, and clustering based on the Minimum Description Length principle and built on the Weka Data Mining platform.

  Clustering, Feature Selection, Java, Unsupervised Learning, Weka

• FEIM: Senior Sales and Business Analyst - Aug 26, 2016.
  
  Seeking a Senior Sales and Business Analyst with strong sales operations experience in Salesforce CRM to partner with sales, uncover insights and help build our sales organization.

  Analyst, FEIM, New York City, NY, Sales

• How Can Data Scientists Mitigate Sensitive Data Exposure Vulnerability? - Aug 26, 2016.
  
  What is sensitive data? How does it affect data science, and what can be done to mitigate data exposure vulnerability? Read on to find out.

  Security, Sensitive Data

• New Poll: Which methods/algorithms you used for a Data Science or Machine Learning application? - Aug 26, 2016.
  
  Which methods/approaches you used in the past 12 months for an actual Data Science-related application? Please vote and we will analyze and publish the results.

  Algorithms, Applications, Clustering, Data Science, Machine Learning, Poll, Supervised Learning

• Is “Artificial Intelligence” Dead? Long Live Deep Learning?!? - Aug 26, 2016.
  
  Has Deep Learning become synonymous with Artificial Intelligence? Read a discussion on the topic fuelled by the opinions of 7 participating experts, and gain some additional insight into the future of research and technology.

  Pages: 1 2

  AI, Artificial Intelligence, Deep Learning, Gregory Piatetsky, Hugo Larochelle, Machine Learning, Pedro Domingos, Xavier Amatriain

• The top 5 Big Data courses to help you break into the industry - Aug 25, 2016.
  
  Here is an updated and in-depth review of top 5 providers of Big Data and Data Science courses: Simplilearn, Cloudera, Big Data University, Hortonworks, and Coursera

  Big Data, Cloudera, Coursera, Data Science Education, Hortonworks, Online Education, Simplilearn

• Interpretability over Accuracy - Aug 25, 2016.
  
  If researchers can’t understand a provided answer, it is not viable. They can’t write about techniques they don’t understand beyond “Here are the numbers. Look how pretty my model is.” Good research, that ain’t.

  Accuracy, Interpretability, Salford Systems

• A Tutorial on the Expectation Maximization (EM) Algorithm - Aug 25, 2016.
  
  This is a short tutorial on the Expectation Maximization algorithm and how it can be used on estimating parameters for multi-variate data.

  Clustering, Data Science, Data Science Education, Predictive Analytics, Statistics

• Build Your Analytics Skills with TDWI Online Learning - Aug 25, 2016.
  
  Skill Up Over the Summer! Save on Business Analytics, Data Modeling, or other online courses* or bundle through Sep 2, 2016 with CODE: SUMMER.

  Business Analytics, Data Models, Online Education, TDWI

• Introduction to Local Interpretable Model-Agnostic Explanations (LIME) - Aug 25, 2016.
  
  Learn about LIME, a technique to explain the predictions of any machine learning classifier.

  Algorithms, Classifier, Explanation, Interpretability, LIME, Machine Learning, Prediction

• Lubrizol: Analytics Statistician - Aug 25, 2016.
  
  Seeking BS/MS Analytics Statistician to create predictive models, support analytics systems, and consult with data scientists and subject area experts. Open to current candidates and students who graduate in 2017.

  Analytics, Cleveland, Lubrizol, OH, Statistician

• Top KDnuggets tweets, Aug 17-23: Approaching (Almost) Any #MachineLearning Problem; #Database Nirvana – can one query language rule them all? - Aug 24, 2016.
  
  In Search of #Database Nirvana - can one query language rule them all? Google Cloud Datalab: #Jupyter meets #TensorFlow, #cloud meets local deployment; Approaching (Almost) Any #MachineLearning Problem; The Gentlest Introduction to Tensorflow Part 1.

  Databases, Jupyter, Machine Learning, TensorFlow, Top tweets

• A Gentle Introduction to Bloom Filter - Aug 24, 2016.
  
  The Bloom Filter is a probabilistic data structure which can make a tradeoff between space and false positive rate. Read more, and see an implementation from scratch, in this post.

  Algorithms, Efficiency, Python

• A Primer on Logistic Regression – Part I - Aug 24, 2016.
  
  Gain an understanding of logistic regression - what it is, and when and how to use it - in this post.

  Pages: 1 2

  Classification, CleverTap, Logistic Regression, Regression

• A simple approach to anomaly detection in periodic big data streams - Aug 24, 2016.
  
  We describe a simple and scaling algorithm that can detect rare and potentially irregular behavior in a time series with periodic patterns. It performs similarly to Twitter's more complex approach.

  Anomaly Detection, Apache Spark, BMW, Time Series, Twitter

• 4 Online Data Science Training Options for Your Team - Aug 24, 2016.
  
  We highlight and compare 4 great online data science training providers that can help you foster a data-driven organization: DataCamp, Lynda, Pluralsight, and Coursera.

  Coursera, Data Science Education, DataCamp, Online Education

• KDnuggets™ News 16:n31, Aug 24: 10 Algo Machine Learning Engineers Need to Know; How to Become a Data Scientist; Gentle Tensorflow - Aug 24, 2016.
  
  The 10 Algorithms Machine Learning Engineers Need to Know; How to Become a Data Scientist - Part 1; The Gentlest Introduction to Tensorflow - Part 1; Approaching (Almost) Any Machine Learning Problem.

  Algorithms, Data Scientist, Machine Learning, TensorFlow

• Predictive Analytics World for Government, Oct 17-20, Washington, DC - Aug 23, 2016.
  
  PAW Government is dedicated to exploring how agencies at all levels of government can use data science to reduce wait times, anticipate community needs, minimize overhead, and improve operational efficiency. Use code KDN150 to save.

  DC, Government, PAW, Predictive Analytics World, Washington

• Predictive Analytics. Max Results. Min Time. - Aug 23, 2016.
  
  Successful analytics in the big data era does not start with data and software. It starts with immersive hands-on training, and goal-driven strategy. Get this training with TMA courseware, which spans all skill levels and analytic team roles - Wash-DC in October or Live Online in November.

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

• Data Science of Reviews: ReviewMeta tool Automatically Detects Unnatural Reviews on Amazon - Aug 23, 2016.
  
  ReviewMeta is a tool that analyzes millions of reviews and helps customers decide which ones to trust. As the dataset grows, so do the insights on unbiased reviews.

  Amazon, Analytics, Customer Analytics, Data Mining, Trends

• How to Become a (Type A) Data Scientist - Aug 23, 2016.
  
  This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.

  Advice, Data Science, Data Scientist, Internet of Things, IoT

• The Inside Scoop on Apache Sqoop, Aug 25 Webinar - Aug 23, 2016.
  
  Last chance! Register for Aug 25 webinar to learn about the best practices for using Apache Sqoop and interoperability with JDBC data sources from relational to cloud.

  Cloud Computing, Databases, Progress Software, Sqoop

• IAPA National Conference: Advancing Analytics 2016 - Aug 22, 2016.
  
  At IAPA Advancing Analytics event you can meet and hear from the leading global and local thinkers on big data, predictive analytics, machine learning, sentiment analysis, IoT, and more. Early bird ends 25 August, so get your ticket now.

  Australia, IAPA, Melbourne

• A Neat Trick to Increase Robustness of Regression Models - Aug 22, 2016.
  
  Read this take on the validity of choosing a different approach to regression modeling. Why isn't L1 norm used more often?

  CleverTap, Linear Regression, Outliers, Overfitting, Regression

• Top Stories, Aug 15-21: 10 Need to Know Machine Learning Algorithms; Does Data Scientist Mean What You Think It Means? - Aug 22, 2016.
  
  The 10 Algorithms Machine Learning Engineers Need to Know; Does Data Scientist Mean What You Think It Means?; The Gentlest Introduction to Tensorflow; Central Limit Theorem for Data Science - Part 2

  Top stories

• How to Become a Data Scientist – Part 1 - Aug 22, 2016.
  
  Check out this excellent (and exhaustive) article on becoming a data scientist, written by someone who spends their day recruiting data scientists. Do yourself a favor and read the whole way through. You won't regret it!

  Pages: 1 2 3 4

  Career, Data Science, Data Science Skills, Data Scientist, Skills

• Big Data Innovation Summit – KDnuggers Offer - Aug 22, 2016.
  
  The Big Data Innovation Summit in Boston, Sep 8-9 brings you top experts who discuss how data can be made actionable, effective and produce tailored insights. Use code KD10 for extra savings.

  Big Data Summit, Boston, IE Group, Innovation, MA

• Analytics, Security, Deep Learning, IoT, Data Science Online Courses - Aug 20, 2016.
  
  Upcoming online courses include : Statistical and machine learning methods for detecting anomalies, identifying images, and processing data from sensors; Deep Learning; Internet of Things (IoT): Programming for Analytics; and Meta Analysis in R.

  Anomaly Detection, Deep Learning, IoT, Meta-analysis, Online Education, R, Statistics.com

• Misinformation Key Terms, Explained - Aug 20, 2016.
  
  Misinformation has emerged as a key issue for social media platforms. This post will introduce the concept of misinformation and the 8 Key Terms, which provides insights into mining misinformation in social media.

  Explained, Key Terms, Social Media, Social Media Analytics

• 5 Awesome jQuery­-based Interactive Data Visualization Tools - Aug 19, 2016.
  
  Presented in this post are five great interactive data visualization libraries for jQuery.

  Data Visualization, FusionCharts, Graphics, Javascript

• Don’t just read about learning data - Aug 19, 2016.
  
  Master data analytics at Level Bootcamp this fall to get ahead in your career and your life. Apply by Aug 31 for a 15% tuition discount.

  Bootcamp, Data Analytics, Data Science Education, Northeastern

• The Gentlest Introduction to Tensorflow – Part 2 - Aug 19, 2016.
  
  Check out the second and final part of this introductory tutorial to TensorFlow.

  Pages: 1 2

  Beginners, Deep Learning, Gradient Descent, Machine Learning, TensorFlow

• Top Machine Learning Projects for Julia - Aug 19, 2016.
  
  Julia is gaining traction as a legitimate alternative programming language for analytics tasks. Learn more about these 5 machine learning related projects.

  Deep Learning, Julia, Machine Learning, Open Source, scikit-learn

• The 10 Algorithms Machine Learning Engineers Need to Know - Aug 18, 2016.
  
  Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

  Pages: 1 2

  Algorithms, Machine Learning, Supervised Learning, Unsupervised Learning

• Approaching (Almost) Any Machine Learning Problem - Aug 18, 2016.
  
  If you're looking for an overview of how to approach (almost) any machine learning problem, this is a good place to start. Read on as a Kaggle competition veteran shares his pipelines and approach to problem-solving.

  Pages: 1 2

  Advice, Feature Selection, Kaggle, Machine Learning, Modeling

• Join Us for the Top Analytics Conference - Aug 18, 2016.
  
  Sign up now for the industry's leading analytics and data management conference. Get an extra $100 off TDWI San Diego with exclusive KDnuggets discount code.

  Analytics, Bootcamp, Data Science, TDWI

• GWCC: Actuarial Manager - Aug 18, 2016.
  
  Lead GWCC Actuarial team, bring a strong business perspective and intelligence, have an analytical mindset, and a high level of responsibility for accuracy and timeliness.

  Great West Casualty Company, Insurance, Manager, NE, South Sioux City

• Acuity Solutions (BluVector): Applied Data Scientist - Aug 17, 2016.
  
  Seeking an Applied Data Scientist to apply data science tools and techniques to discover and exploit generalities in software and software application files enabling broad-based detection of the constantly changing global malware corpus.

  Acuity Solutions, Cybersecurity, Data Scientist, MD, Millersville

• Top KDnuggets tweets, Aug 10-16: 5 EBooks to Read Before Getting into a #DataScience or #BigData Career - Aug 17, 2016.
  
  5 EBooks to Read Before Getting into a #DataScience or #BigData Career; Visualizing 1 Billion Points of #Data Webinar; #Cartoon: Make Data Great Again!; The role of the activation function in a #NeuralNetwork

  Big Data, Career, Data Science, Free ebook, Top tweets

• Data Science Challenges - Aug 17, 2016.
  
  This post is thoughts for a talk given at the UN Global Pulse lab in Kampala, and covers the challenges in data science.

  Pages: 1 2

  Challenges, Data Curation, Data Science, Privacy

• The Gentlest Introduction to Tensorflow – Part 1 - Aug 17, 2016.
  
  In this series of articles, we present the gentlest introduction to Tensorflow that starts off by showing how to do linear regression for a single feature problem, and expand from there.

  Pages: 1 2

  Beginners, Deep Learning, Gradient Descent, Linear Regression, Machine Learning, TensorFlow

• Free MOOC: Business Analytics Using Forecasting – enroll now - Aug 17, 2016.
  
  A new iteration of a MOOC on business analytics using forecasting gets underway in October. Enroll today!

  Business Analytics, Forecasting, Galit Shmueli, MOOC

• KDnuggets™ News 16:n30, Aug 17: Why Deep Learning Works; Neural Networks with R; Central Limit Theorem for Data Science - Aug 17, 2016.
  
  3 Thoughts on Why Deep Learning Works So Well; A Beginner's Guide to Neural Networks with R!; Central Limit Theorem for Data Science; Cartoon: Make Data Great Again

  Centrality, Data Science, Deep Learning, Neural Networks, R

• Does Data Scientist Mean What You Think It Means? - Aug 16, 2016.
  
  Do we have an accurate idea of what "data scientist" actually means? Read this thought-provoking opinion on the topic.

  Career, Data Scientist

• Central Limit Theorem for Data Science – Part 2 - Aug 16, 2016.
  
  This post continues an explanation of Central Limit Theorem started in a previous post, with additional details... and beer.

  Beer, Centrality, Distribution, Statistics

• PAW Financial Keynotes Making History - Aug 16, 2016.
  
  The first-ever Predictive Analytics World conference dedicated to Financial Services will be held this October 23-27 in New York. Register now for early bird pricing, and save an additional $150 with code KDN150.

  Finance, New York City, NY, PAW, Predictive Analytics World

• Artificial Intelligence: Useful Technology or the Next Frankenstein? - Aug 15, 2016.
  
  For a refreshingly insightful and honest answer this question, just ask Facebook's founder Mark Zuckerberg.

  AI, Artificial Intelligence, Mark Zuckerberg, Skynet

• Top Stories, Aug 8-14: Beginner’s Guide to Neural Nets with R; 5 Data Science/Big Data Ebooks - Aug 15, 2016.
  
  Beginner's Guide to Neural Networks with R; 5 EBooks to Read Before Getting into A Data Science or Big Data Career; Cartoon: Make Data Great Again; Understanding the Bias-Variance Tradeoff: An Overview

  Top stories

• Tales from ICML: Insights and Takeaways - Aug 15, 2016.
  
  The dust has settled from ICML 2016, having been held in June in NYC. Read some perspective on what was offered at the conference and relevant takeaways from a reflective attendee.

  Deep Learning, Fei-Fei Li, ICML, Lab41, Machine Learning

• O’Reilly AI: Last chance to get Early Price - Aug 15, 2016.
  
  This is your last chance to get early pricing at the O'Reilly AI conference happening in New York September 26-27. Space is limited, so register now!

  AI, Conference, O'Reilly

• Big Data Doesn’t Rule The Olympics - Aug 13, 2016.
  
  Whenever there is a Big Data conversation, especially in sports, expectations have to be set correctly. Big Data isn’t perfect, but it is a lot better than the more superficial methods of making a judgment.

  Big Data, Olympics, Sports

• Cartoon: Make Data Great Again - Aug 13, 2016.
  
  This KDnuggets cartoon considers a speech that a certain presidential candidate can give on a topic of Big Data.

  Cartoon, Donald Trump, Politics

• Central Limit Theorem for Data Science - Aug 12, 2016.
  
  This post is an introductory explanation of the Central Limit Theorem, and why it is (or should be) of importance to data scientists.

  Centrality, Distribution, Statistics

• Understanding the Empirical Law of Large Numbers and the Gambler’s Fallacy - Aug 12, 2016.
  
  Law of large numbers is a important concept for practising data scientists. In this post, The empirical law of large numbers is demonstrated via simple simulation approach using the Bernoulli process.

  Algorithms, R, Statistics

• Robots Need “Common Sense” AI to Work Out Our Uncertain World - Aug 12, 2016.
  
  At the Machine Intelligence Summit in Berlin last week, Jeremy Wyatt, Professor of Robotics and Artificial Intelligence at University of Birmingham, was asked a few questions about his work in mobile robot task planning and manipulation.

  AI, Artificial Intelligence, RE.WORK, Robots

• 5 EBooks to Read Before Getting into A Data Science or Big Data Career - Aug 11, 2016.
  
  A short, carefully-curated list of 5 free ebooks to help you better understand what Data Science is all about and how you can best prepare for a career in data science, big data, and data analysis.

  Big Data, Free ebook, Hadoop, Programming Languages, Simplilearn, Tableau

• Making Data Science Accessible – Neural Networks - Aug 11, 2016.
  
  This post attempts to make the underlying concepts of neural networks more accessible to everyone. Gain a high level view of their working here.

  Data Science, Neural Networks

• Stop Blaming Terminator for Bad AI Journalism - Aug 11, 2016.
  
  Too often, we blame The Terminator for the public's misconceptions concerning machine learning. But do James Cameron and the Austrian Oak stand wrongfully accused?

  Big Data Hype, Deep Learning, Machine Learning, Skynet, Zachary Lipton

• A Beginner’s Guide to Neural Networks with R! - Aug 11, 2016.
  
  In this article we will learn how Neural Networks work and how to implement them with the R programming language! We will see how we can easily create Neural Networks with R and even visualize them. Basic understanding of R is necessary to understand this article.

  Pages: 1 2

  Beginners, Neural Networks, R, Udemy

• Visualizing 1 Billion Points of Data: Doing It Right – Aug 18 Webinar - Aug 11, 2016.
  
  Join Continuum Analytics on August 18 for a webinar on Big Data visualization with the datashader library. Save your spot today!

  Continuum Analytics, Data Visualization, Jupyter, Python

• Big Data Key Terms, Explained - Aug 11, 2016.
  
  Just getting started with Big Data, or looking to iron out the wrinkles in your current understanding? Check out these 20 Big Data-related terms and their concise definitions.

  Pages: 1 2

  3Vs of Big Data, Apache Spark, Big Data, Business Intelligence, Cloud Computing, Data Warehouse, Explained, Hadoop, Key Terms, Predictive Analytics

• Chief Data Scientist Forum, San Francisco, Nov 16-17 - Aug 10, 2016.
  
  The inaugural Chief Data Scientist Forum will be the premier event for high-level data science practitioners, containing essential content and new ideas to develop the leadership role for data science. Use code KDCDS to save on registration.

  CA, Chief Analytics Officer, Corinium, Data Scientist, San Francisco

• Top KDnuggets tweets, Aug 03-09: Understanding the Bias-Variance Tradeoff: An Overview - Aug 10, 2016.
  
  Understanding the Bias-Variance Tradeoff: An Overview; Cartoon: Facebook #DataScience experiments and Cats; Bayesian #Machine Learning, Explained; Deep Reinforcement Learning for Keras.

  Bias, Deep Learning, Keras, Reinforcement Learning, Top tweets, Variance

• Is a Chief Data Officer Required for Analytics Success? - Aug 10, 2016.
  
  In this insightful opinion piece, gain perspective on whether a Chief Data Officer is required for an organization's analytics success.

  Analytics, Chief Data Officer

• Should We Be Rethinking Unsupervised Learning? - Aug 10, 2016.
  
  Roland Memisevic, Assistant Professor at the University of Montreal and Chief Scientist at Twenty Billion Neurons, explores ideas on rethinking unsupervised learning, which he feels may explain what scientists have been doing wrong.

  RE.WORK, Unsupervised Learning

• Exploring Social Media Diversity with Natural Language Processing - Aug 10, 2016.
  
  This post uses natural language processing on Twitter data to determine the diversity of Twitter accounts the author is following. An innovative take on social media analytics.

  Pages: 1 2

  Diversity, Natural Language Processing, NLP, Social Media, Social Media Analytics, Twitter

• 3 Thoughts on Why Deep Learning Works So Well - Aug 10, 2016.
  
  While answering a posed question in his recent Quora Session, Yann LeCun also shared 3 high-level thoughts on why deep learning works so well.

  Convolutional Neural Networks, Deep Learning, Deep Neural Network, Neural Networks, Quora, Yann LeCun

• KDnuggets™ News 16:n29, Aug 10: Data Science for Beginners: Fantastic series; Automating Data Science Contest Winners - Aug 10, 2016.
  
  Data Science for Beginners: Fantastic Introductory Video; Contest 2nd Place: Automating Data Science; Contest Winner: Winning the AutoML Challenge with Auto-sklearn; Reinforcement Learning and the Internet of Things.

  Automated Data Science, Beginners, Cats, IoT, Reinforcement Learning

• Real-Time Decisions for Real Results - Aug 9, 2016.
  
  Enova Decisions real-time predictive analytics services help businesses improve the customer experience while protecting against fraud, optimizing operations and increasing marketing profitability.

  Decision Management, Enova, Real-time, Risk Analytics

• Predictive Analytics World for Healthcare – Oct 23-27 in New York - Aug 9, 2016.
  
  PAW Healthcare brings together top predictive analytics experts, practitioners, authors, and healthcare thought leaders to discuss concrete examples of deployed predictive analytics in the healthcare industry. Save w. code KDNPAW150.

  Healthcare, New York City, NY, PAW, Predictive Analytics World

• Advice for Data Science Interviews - Aug 9, 2016.
  
  Check out an interview excerpt from Springboard’s Guide to Data Science Interviews. Determine how one can find data science interviews - and ace them!

  Advice, Hiring, Springboard

• Choosing Tools for Data ETLs - Aug 9, 2016.
  
  Which tool should I use for my data pipelines? Get some advice from a data scientist recently having gone through this pipeline tool selection process.

  AirBnB, Data Cleaning, Data Preparation, ETL

• Stanford Webinar – Supersize Your Career with Big Data Opportunities - Aug 9, 2016.
  
  Sign up for this upcoming webinar which will outline the variety of big data programs offered by Stanford to working professionals and answer common questions.

  Big Data, Career, Stanford

• 7 Steps to Understanding Computer Vision - Aug 9, 2016.
  
  A starting point for Computer Vision and how to get going deeper. Dive into this post for some overview of the right resources and a little bit of advice.

  7 Steps, Computer Vision, Deep Learning, Neural Networks, Python

• MICCAI 2016 Cancer Radiomics Challenge - Aug 9, 2016.
  
  Details on the ongoing MICCAI 2016 Cancer Radiomics Challenge, organized by University of Texas MD Anderson Cancer Center radiation oncology team, hosted on Kaggle, and being held until September 12th.

  Competition, Kaggle, Medical, University of Texas

• Short course: Statistical Learning and Data Mining IV, Washington, DC, Oct 19-20 - Aug 8, 2016.
  
  This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, including sparse models and deep learning.

  Data Mining, DC, R, Robert Tibshirani, Statistical Learning, Trevor Hastie, Washington

• Top Stories, Aug 1-7: Bayesian Machine Learning, Explained; Data Science for Beginners Video Series - Aug 8, 2016.
  
  Bayesian Machine Learning, Explained; Data Science for Beginners Video Series; What Statistics Topics are Needed for Excelling at Data Science?; The Core of Data Science

  Top stories

• Cartoon: Facebook data science experiments and Cats - Aug 8, 2016.
  
  In honor of International Cat Day, we revisit KDnuggets cartoon that looks at the Facebook data science experiment on emotion manipulation and the importance of happy kittens.

  Cartoon, Cats, Data Science, Facebook

• Data Science, Data Engineering Bootcamp, Seattle, Oct 10-14 - Aug 8, 2016.
  
  Data Science Dojo will be teaching a comprehensive five-day Data Science & Data Engineering Bootcamp in Seattle on October 10 - 14. Register today!

  Bootcamp, Data Engineering, Data Science Education, Seattle, WA

• The Inside Scoop on Apache Sqoop - Aug 8, 2016.
  
  Check out this webinar to learn about the best practices for using Sqoop and interoperability with JDBC data sources from relational to cloud. Register today!

  Apache, Cloud Computing, Relational Databases

• Understanding the Bias-Variance Tradeoff: An Overview - Aug 8, 2016.
  
  A model's ability to minimize bias and minimize variance are often thought of as 2 opposing ends of a spectrum. Being able to understand these two types of errors are critical to diagnosing model results.

  Bias, Cross-validation, Model Performance, Variance

• Connect with IoT Leaders, Learn and Network at Connected+, Toronto, Oct 12-13 - Aug 8, 2016.
  
  This premier event offers a 360-degree view of the connected device ecosystems and all IoT verticals. Early bird till Aug 11. Use code KDNuggetspromo for extra savings.

  Canada, Connected Home, Internet of Things, IoT, Toronto, Wearables

• Trulia (Zillow Group): Data Scientist – Computer Vision & Deep Learning - Aug 7, 2016.
  
  Become one of the founding members of computer vision/deep learning group at Trulia and develop solutions that would be used by millions of users across Zillow Group.

  CA, Computer Vision, Data Scientist, Deep Learning, San Francisco, Trulia, Zillow

• Top July stories: Bayesian Machine Learning, Explained; Why Big Data is in Trouble: They Forgot About Applied Statistics - Aug 6, 2016.
  
  Also - How to Start Learning Deep Learning; What Has Pokemon Got To Do With Big Data?

  Top stories

• Introduction to Data Science and Data Visualization with D3.js: San Francisco and New York City - Aug 5, 2016.
  
  Visit Metis in San Francisco (Aug 10) and New York City (Aug 9) for an overview of the field of data science and the use of data visualization tool D3.js.

  CA, D3.js, Data Science Education, Data Visualization, Metis, New York City, NY, San Francisco

• Brain Monitoring with Kafka, OpenTSDB, and Grafana - Aug 5, 2016.
  
  Interested in using open source software to monitor brain activity, and control your devices? Sure you are! Read this fantastic post for some insight and direction.

  Pages: 1 2 3

  Brain, Internet of Things, IoT, Kafka, Monitoring

• Contest Winner: Winning the AutoML Challenge with Auto-sklearn - Aug 5, 2016.
  
  This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge.

  Automated, Automated Data Science, Automated Machine Learning, Competition, Hyperparameter, scikit-learn, Weka

• Nigeria: Telling Internally Displaced Persons Stories Using Visual Data and Infographics - Aug 5, 2016.
  
  Read a data-driven discussion on the plight of internally displaced persons (IDPs) in Nigeria, and see the real power of data science and data visualization.

  Nigeria, Open Data, Refugees

• Reinforcement Learning and the Internet of Things - Aug 5, 2016.
  
  Gain an understanding of how reinforcement learning can be employed in the Internet of Things world.

  Brandon Rohrer, Internet of Things, IoT, Reinforcement Learning, Richard Sutton

• BaseCamp – New Innovative Data Science Bootcamp in Vienna - Aug 4, 2016.
  
  Big Data startup Knoyd is launching a data science bootcamp disrupting the training and hiring of data scientists. The first cohort will start in Vienna in January 2017. Apply by August 31.

  Austria, Bootcamp, Data Science Education, Knoyd, Vienna

• Insurers, the new kids on the blockchain: Everledger, Guardtime and CGSC discuss why - Aug 4, 2016.
  
  Where are insurers in adopting blockchain technology and what are the benefits? Insurance Nexus conducted exclusive interviews with Everledger, Guardtime and CGSC and created an exclusive white paper which you can freely download.

  Blockchain, Insurance, White Paper

• Making Data Science Accessible – HDFS - Aug 4, 2016.
  
  This post explains some basic Big Data concepts and offers some insight into when HDFS can be useful, employing basic analogies to do so.

  Data Science, Hadoop, HDFS, MapReduce

• Wise Athena: Senior Data Scientist - Aug 4, 2016.
  
  Looking for a data scientist, to work in some of the most exciting areas of computer and information science, including intelligent information extraction, recommendation systems, visualizations and cognitive agents.

  Data Scientist, Madrid, Spain, Wise Athena

• Contest 2nd Place: Automated Data Science and Machine Learning in Digital Advertising - Aug 4, 2016.
  
  This post is an overview of an automated machine learning system in the digital advertising realm. It is an entrant and second-place recipient in the recent KDnuggets blog contest.

  Advertising, Automated, Automated Data Science, Automated Machine Learning, Claudia Perlich, Machine Learning

• Upcoming Meetings in Analytics, Big Data, Data Mining, Data Science: August and Beyond - Aug 4, 2016.
  
  Coming soon: KDD 2016, HPE Big Data Boston, Global Big Data Santa Clara, Big Data Innovation Boston, Adversarial ML San Francisco, Cypher 2016 Bangalore, and many more.

  Boston, CA, London, MA, New York City, NY, Porto, Portugal, San Francisco, UK

• Common Sense in Artificial Intelligence… by 2026? - Aug 4, 2016.
  
  An insightful opinion piece on the future of common sense in AI. A recommended read by an authority in the field.

  AI, Artificial Intelligence, Future, Geoff Hinton, Online Games, Singularity

• Understand customer needs with choice modeling - Aug 3, 2016.
  
  Which product features are most important to your customers? This case study of American vs Belgian chocolate choice analysis can help you understand which factors drive your customer.

  Chocolate, Customer Analytics, JMP, Statistics

• Top KDnuggets tweets, Jul 27 – Aug 2: Understanding neural networks with Google TensorFlow Playground; Getting Started with Data Science in Python - Aug 3, 2016.
  
  Understanding neural networks with Google TensorFlow Playground; The 100 Best-Funded #Analytics #DataScience #Startups; Great tutorial: Getting Started with #DataScience - #Python; #MachineLearning over 1M hotel reviews: interesting insights.

  Data Science Tutorial, Neural Networks, Programming Languages, Python, Startups, TensorFlow, Top tweets

• WeWork: Principal Data Scientist - Aug 3, 2016.
  
  Lead and grow a team of data scientists; work with the team to propose, choose, scope, tackle, and ultimately deliver impactful data products that drive value across the organization.

  Data Scientist, New York City, NY, WeWork

• Getting Started with Data Science – R - Aug 3, 2016.
  
  A great introductory post from DataRobot on getting started with data science in R, including cleaning data and performing predictive modeling.

  Pages: 1 2

  Beginners, Data Cleaning, Data Science, Predictive Modeling, R

• Contest 2nd Place: Automating Data Science - Aug 3, 2016.
  
  This post discusses some considerations, options, and opportunities for automating aspects of data science and machine learning. It is the second place recipient (tied) in the recent KDnuggets blog contest.

  Algorithms, Automated, Automated Data Science, Feature Selection, Machine Learning

• Data Science for Beginners: Fantastic Introductory Video Series from Microsoft - Aug 3, 2016.
  
  The remaining videos in Microsoft's Data Science for Beginners video series are available now. Have a look at what they offer.

  Beginners, Brandon Rohrer, Cortana, Data Science, Microsoft, Microsoft Azure

• Looker: Exploring the Census, Aug 11 Webinar - Aug 3, 2016.
  
  We will dig into 20 years of Census voting data that we have loaded into Google BigQuery and modeled in Looker. You can ask anything you're interested and we will look it up, live.

  BigQuery, Data Preparation, Looker, US Census

• KDnuggets™ News 16:n28, Aug 3: Data Science Stats 101; Understanding NoSQL Databases; Core of Data Science - Aug 3, 2016.
  
  Data Science Statistics 101; 7 Steps to Understanding NoSQL Databases; The Core of Data Science; Data Science for Beginners 2: Is your data ready?

  Beginners, Data Science, Deep Learning, NoSQL, Statistics

• Introducing Predictive Analytics World Financial, Oct 24-27, New York City - Aug 2, 2016.
  
  PAW Financial focuses on analytics needs of banks, insurance companies, credit card companies, investment firms, and other financial institutions. Book now for the early bird rates, and save extra with code KDN150.

  Finance, Fintech, New York City, NY, PAW, Predictive Analytics World

• Webinar: Predictive Analytics: Failure to Launch [Aug 16] - Aug 2, 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 August 16.

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

• Make Your Data Greater: Big Data Innovation, IoT, Data Visualization Summits, Boston, Sep 8-9 - Aug 2, 2016.
  
  Check Big Data Innovation, Internet of Things, and Data Visualization Summits in Boston, Sep 8-9, 2016. The program is filling out with new sessions being added every week - the depth and breadth of content covered is unrivaled. Use code KD10 for 10% off All Access path.

  Big Data, Boston, Data Visualization, IE Group, IoT, MA, Summit

• What Statistics Topics are Needed for Excelling at Data Science? - Aug 2, 2016.
  
  Here is a list of skills and statistical concepts suggested for excelling at data science, roughly in order of increasing complexity.

  Bayesian, Distribution, Machine Learning, Markov Chains, Probability, Regression, Statistics

• Data Science Automation: Debunking Misconceptions - Aug 2, 2016.
  
  This opinion piece aims to clear up some proposed misconceptions surrounding data science automation.

  Automated, Automated Data Science, Automated Machine Learning, CRISP-DM, Data Science, Kaggle

• Doing Statistics with SQL - Aug 2, 2016.
  
  This post covers how to perform some basic in-database statistical analysis using SQL.

  SQL, Statistics

• Academic/Research positions in Business Analytics, Data Science, Machine Learning in July 2016 - Aug 2, 2016.
  
  Director for the Institute for CyberScience at Penn State, Research Fellow - Data Science at Monash U; Postdocs at UTSW; PhD positions at TU/E Netherlands, Leiden U Netherlands, Ningbo China.

  Academics, Australia, Belgium, China, Dallas, Netherlands, Postdoc, Research Positions, TX