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.
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.
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.
Download this free whitepaper on how datashader helps tame the complexity of visualizing large amounts of data, along with examples for accomplishing this.
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.
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.
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...
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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!
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.
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.
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.
Julia is gaining traction as a legitimate alternative programming language for analytics tasks. Learn more about these 5 machine learning related projects.
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.
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.
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
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.
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.
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
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.
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.
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.
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.
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.
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?
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.
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.
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.
Understanding the Bias-Variance Tradeoff: An Overview; Cartoon: Facebook #DataScience experiments and Cats; Bayesian #Machine Learning, Explained; Deep Reinforcement Learning for Keras.
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.
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.
Enova Decisions real-time predictive analytics services help businesses improve the customer experience while protecting against fraud, optimizing operations and increasing marketing profitability.
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.
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.
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.
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.
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.
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.
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
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.
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!
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
PMML is an application and system independent format for statistical and data mining models. Key PMML 4.3 features include Improved support for post-processing, model types, and model elements, and new models for Gaussian Process and Bayesian Networks. Check PMML session at KDD-16.
Google Brain AMA; Geoff Hinton Awarded IEEE Medal; Geoff Hinton's ANN Course Lives; Google’s DeepMind Reduces Data Center Cooling Bill; Training an artificial neural network to play Diablo 2
This post evaluates several methods for automating the feature selection process in large-scale linear regression models and show that for marketing applications the winner is Stepwise regression.
What Has Pokemon Got To Do With Big Data?; 35 Open Source tools for Internet of Things; 7 Steps to Understanding NoSQL Databases; SAS vs R vs Python: Which Tool Do Analytics Pros Prefer?
This post provides a simplifying framework, an ontology for Machine Learning and some important developments in dynamical machine learning. From first hand Data Science product experience, the author suggests how best to execute Data Science projects.
Introducing Dataiku DSS 3.1, with new visual machine learning engines that allow users to create incredibly powerful predictive applications within a code-free interface.
FlyElephant is a platform for data scientists, engineers and scientists, which provides a ready-computing infrastructure for high-performance computing and rendering.
Cartoon: Data Scientist – the sexiest job of the 21st century until …
How to Become a (Type A) Data Scientist
How to Become a Data Scientist – Part 1
The 10 Algorithms Machine Learning Engineers Need to Know
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