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• Cartoon: Scary Big Data - Oct 29, 2016.
  
  What do Halloween and Big Data have in common? Both can be scary, as new KDnuggets cartoon shows.

  Big Data, Cartoon, Halloween, Healthcare, Privacy

• Machine Learning: A Complete and Detailed Overview - Oct 28, 2016.
  
  This is an overview (with links) to a 5-part series on introductory machine learning. The set of tutorials is comprehensive, yet succinct, covering many important topics in the field (and beyond).

  Machine Learning

• Using Machine Learning to Detect Malicious URLs - Oct 28, 2016.
  
  This is a write-up of an experiment employing a machine learning model to identify malicious URLs. The author provides a link to the code for you to try yourself.

  Cybersecurity, Python, Security

• Automated Machine Learning: An Interview with Randy Olson, TPOT Lead Developer - Oct 28, 2016.
  
  Read an insightful interview with Randy Olson, Senior Data Scientist at University of Pennsylvania Institute for Biomedical Informatics, and lead developer of TPOT, an open source Python tool that intelligently automates the entire machine learning process.

  Automated Data Science, Automated Machine Learning, Machine Learning, Python, scikit-learn

• Learn Data Science in 8 (Easy) Steps - Oct 27, 2016.
  
  Want to learn data science? Check out these 8 (easy) steps to set out in the right direction!

  Pages: 1 2

  Big Data, Data Science, DataCamp, Machine Learning

• Big Data Science: Expectation vs. Reality - Oct 27, 2016.
  
  The path to success and happiness of the data science team working with big data project is not always clear from the beginning. It depends on maturity of underlying platform, their cross skills and devops process around their day-to-day operations.

  Big Data, Big Data Engineer, Data Science, Data Science Team, DevOps

• Frequent Pattern Mining and the Apriori Algorithm: A Concise Technical Overview - Oct 27, 2016.
  
  This post provides a technical overview of frequent pattern mining algorithms (also known by a variety of other names), along with its most famous implementation, the Apriori algorithm.

  Algorithms, Apriori, Association Rules, Frequent Pattern Mining

• What is Academic Torrents and Where is Data Sharing Going? - Oct 26, 2016.
  
  Learn more about Academic Torrents, a platform for researchers to share data consisting of a site where users can search for datasets, and a BitTorrent backbone which makes sharing data scalable and fast.

  Datasets, Reproducibility, Research

• 5 EBooks to Read Before Getting into A Machine Learning Career - Oct 21, 2016.
  
  A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

  Bayesian, Data Science, Deep Learning, Free ebook, Machine Learning, Reinforcement Learning

• Jupyter Notebook Best Practices for Data Science - Oct 20, 2016.
  
  Check out this overview of Jupyter notebook best practices as pertains to data science. Novice or expert, you may find something of use here.

  Data Science, Jupyter, Python, SVDS

• A Beginner’s Guide to Neural Networks with Python and SciKit Learn 0.18! - Oct 20, 2016.
  
  This post outlines setting up a neural network in Python using Scikit-learn, the latest version of which now has built in support for Neural Network models.

  Pages: 1 2

  Beginners, Machine Learning, Neural Networks, Python, scikit-learn

• Clustering Key Terms, Explained - Oct 18, 2016.
  
  Getting started with Data Science or need a refresher? Clustering is among the most used tools of Data Scientists. Check out these 10 Clustering-related terms and their concise definitions.

  Clustering, Explained, Feature Selection, K-means, Key Terms

• LinkedIn Knowledge Graph – KDnuggets Interview - Oct 18, 2016.
  
  We interview LinkedIn about their recently published LinkedIn Knowledge Graph which connects their many millions of members, jobs, companies, and more.

  Data Scientist, Deepak Agarwal, Knowledge Graph, LinkedIn

• MLDB: The Machine Learning Database - Oct 17, 2016.
  
  MLDB is an open­source database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

  Classification, Database, Machine Learning, TensorFlow, Transfer Learning

• Top 10 Data Science Videos on Youtube - Oct 17, 2016.
  
  Learning and the future are the key topics in the recent Youtube videos on Data Science. The main questions revolve around: “how to become a Data Scientist”, “what is a data scientist”, and “where data science is going”. But why there is so little explanation of data science to the masses?

  Pages: 1 2

  Data Science, Data Scientist, DJ Patil, Online Education, R, Videolectures, Youtube

• Artificial Intelligence, Deep Learning, and Neural Networks, Explained - Oct 14, 2016.
  
  This article is meant to explain the concepts of AI, deep learning, and neural networks at a level that can be understood by most non-practitioners, and can also serve as a reference or review for technical folks as well.

  AI, Artificial Intelligence, Deep Learning, Explained, Neural Networks

• EDISON Data Science Framework to define the Data Science Profession - Oct 14, 2016.
  
  EDISON Data Science Framework provides conceptual, instructional and policy components required to establish the Data Science profession.

  Certification, Data Science, Data Science Certificate, Data Science Education, Data Scientist

• The R Graph Gallery Data Visualization Collection - Oct 13, 2016.
  
  Welcome to the R graph gallery, a collection of R graph examples, organized by chart type, searchable by R function, with reproducible code and explanation.

  Art, Data Visualization, ggplot2, Graphics, R, Visualization

• Top 12 Interesting Careers to Explore in Big Data - Oct 12, 2016.
  
  From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.

  Analyst, Big Data, Big Data Engineer, Business Analytics, Data Science, Data Scientist, Machine Learning Scientist, Simplilearn, Statistician

• KDnuggets™ News 16:n36, Oct 12: Battle of the Data Science Venn Diagrams; 9 Bizarre and Surprising Insights; ROI in Big Data Analytics - Oct 12, 2016.
  
  Battle of the Data Science Venn Diagrams; Top September Stories in KDnuggets; Open Images Dataset; Still Searching for ROI in Big Data Analytics?

  Big Data ROI, Data Science, Ethics, Venn Diagram

• Here’s How IT Departments are Using Big Data - Oct 10, 2016.
  
  The use cases for big data are clear when it comes to areas like marketing, healthcare, and retail, but IT’s use of big data is a little less clear. Recently, however, some IT departments are finding ways to use big data to improve their individual operations along with that of the entire organization.

  Big Data, Business

• Adversarial Validation, Explained - Oct 7, 2016.
  
  This post proposes and outlines adversarial validation, a method for selecting training examples most similar to test examples and using them as a validation set, and provides a practical scenario for its usefulness.

  Pages: 1 2

  Adversarial, Explained, Training, Validation

• Top /r/MachineLearning Posts, September: Open Images Dataset; Whopping Deep Learning Grant; Advanced ML Courseware - Oct 7, 2016.
  
  Google Research announces the Open Images dataset; Canadian Government Deep Learning Research grant; DeepMind: WaveNet - A Generative Model for Raw Audio; Machine Learning in a Year - From total noob to using it at work; Phd-level machine learning courses; xkcd: Linear Regression

  Canada, Courses, Deep Learning, Generative Models, Geoff Hinton, Machine Learning, Reddit, xkcd

• Battle of the Data Science Venn Diagrams - Oct 6, 2016.
  
  First came Drew Conway's data science Venn diagram. Then came all the rest. Read this comparative overview of data science Venn diagrams for both the insight into the profession and the humor that comes along for free.

  Pages: 1 2

  Data Science, Drew Conway, Venn Diagram

• Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team - Oct 4, 2016.
  
  This is an interview with the authors of the recent winning KDnuggets Automated Data Science and Machine Learning blog contest entry, which provided an overview of the Auto-sklearn project. Learn more about the authors, the project, and automated data science.

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