A Statistical View of #DeepLearning; Impressive tutorial - Tree Kernels: Quantifying Similarity in Structures; Conversation with Data Scientist Sebastian Raschka - new podcast; How to become a #Bayesian in eight easy steps.
While Rey, saw her force come to life in less then 30min, the data industry has been waiting for ‘that’ to happen, for half a decade. However, finally, business-focused analytics and data discovery are on the rise.
Text analytics and word prediction has been broadly used for smart phones. Here, we present “next word predictor” (NWP) as an enhancement for existing survey analysis tool kits and use-cases for the same.
Baidu continues to make impressive gains with deep learning. Their latest achievement centers on Mandarin speech recognition, which you can read about here from the researchers involved in the project.
This *new* two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, with emphasis on tools useful for tackling modern-day data analysis problems.
The 2015 Stack Overflow Developer Survey gathered data from more than 26,000 respondents. Full stack developers, mobile developers, front end developers... and even data scientists and machine learning developers participated. Check out these 3 interesting insights.
Simplilearn partners with Tableau to nurture talent pool of 200,000 Data Science professionals by 2020. The partnership will offer high quality instructor-led training, e-learning, and projects on the latest version of Tableau.
Graphical representations of high-dimensional data sets are the backbone of exploratory data analysis. We examine 2 of the most commonly used methods: heatmaps combined with hierarchical clustering and principal component analysis (PCA).
With the rise of new, affordable, and easy-to-use tools, business owners have started to get a better picture with the data. Here, we introduce you to a couple of these handy analytics tools to manage data within the organization, build customer loyalty and explore it with visualisation.
Social network analysis is back in the news again, with a recent Facebook project which determined that there are an average of 3.5 intermediaries between any 2 Facebook users. But this is different than "6 degrees of separation." Read on to find out why, and how.
Github provides a number of open source data visualization options for data scientists and application developers integrating quality visuals. This is a list and description of the top project offerings available, based on the number of stars.
Many organisations are starting to use Data Science as a method of tracking, diagnosing and curing some of the world’s most widespread diseases. We look at 3 common diseases, and how Data Science is used to save lives.
21 Must-Know Data Science Interview Questions and Answers; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms; The Next Big Inflection in Big Data: Automated Insights; Opening Up Deep Learning For Everyone.
Second part of the answers to 20 Questions to Detect Fake Data Scientists, including controlling overfitting, experimental design, tall and wide data, understanding the validity of statistics in the media, and more.
The HPI Future SOC (Service-Oriented Computing) Lab is a cooperation of the Hasso Plattner Institute (HPI) and industrial partners, providing free access to a powerful Big Data & Computing infrastructure. It is now accepting project proposals.
The PASS Business Analytics Conference is your yearly connection to what's new, and what's coming up so your team can be prepared for anything. Don't miss out on this opportunity to set your team up for success.
Cognitive computing is penetrating more aspects of the IoT as algorithms enable edge devices and applications. Understand how unstructured data captured by IoT edge devices with the help of cognitive algorithms distilled into actionable insights.
Global Predictive Analytics conference features sharing real world experiences, how to create a balanced predictive analytics team, new methods used in predictive analytics across multiple industry verticals, Panel Sessions, Keynotes and workshop. Use code KDNUGGETS to save.
Never mind driverless cars! Big Data is already hard at work in every aspect of the automotive industry, including safety, design, marketing and more. We look at where Big Data is having an impact on the cars that we are driving.
We have made tremendous progress in the field of data analysis and on the other, our technology is getting smart. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future.
2nd Annual Global Data Science conference features sessions on sharing real world experiences, how to create a balanced big data science team, interesting panels, keynotes by top experts, and a workshop. Use code KDNUGGETS to save.
Despite all obstacles, Europe built not only the biggest world economy but also a special place where people are protected like nowhere else on the planet. Here is a tiny EU programme that played a key role.
The Rework Deep Learning conference came to San Francisco this past January, and showcased both prominent deep learning researchers and startups. Get an overview of the proceedings with notes from an attendee.
Amazon Machine Learning is a predictive analytics service with binary/multiclass classification and linear regression features. The service is fast, offers a simple workflow but lacks model selection features and has slow execution times.
New books on "Text Mining and Visualization with Open-Source Tools" and "Graph-Based Social Media Analysis" provide essential and up-to-date information on these key topics. Use code BZQ31 to save 20%.
We compare Gartner 2016 Magic Quadrant Advanced Analytics Platforms vs its 2015 version and identify notable changes for leaders and challengers: SAS, IBM, RapidMiner, KNIME, Dell, Angoss, and Microsoft.
Bothered about the “big brother” knowing everything about you? We are explaining what exactly the privacy means in this data driven world, what are the different types, the major concerns and its limitation.
Join Decision Management guru James Taylor and Michael Zeller, CEO of Zementis, to learn how the Predictive Model Markup Language (PMML) provides a standards-based, repeatable and efficient deployment approach.
Data science is vain without the solid understanding of probability and statistics. Learn the basic concepts of probability, including law of total probability, relevant theorem and Bayes’ theorem, along with their computer science applications.
Statistics.com offers a rich array of online courses to accelerate your data science career or help upgrade the skills of your Big Data team. Small classes, not MOOCs, taught by top instructors - people who write the textbooks and have real industry experience.
Best TED Talks for #DataScientist; Easy #DeepLearning w. TensorFlow; #DataScientist Valentine's Day Options - neural net predicts 98.9% compatibility; DeepLearning is not Enough - majority in KDnuggets Poll says; Great #DataScience application: Most timeless #song of all time #Spotify.
If you're managing big data projects or building distributed data science systems, you will find these online courses very useful: Building Distributed Pipelines for Data, March 1-3 and Managing Successful Big data Projects, March 15-16.
Deep learning pioneers Yann LeCun and Yoshua Bengio have undertaken a grand experiment in academic publishing. Embracing a radical level of transparency and unprecedented public participation, they've created an opportunity not only to find and vet the best papers, but also to gather data about the publication process itself.
50+ Data Science and Machine Learning Cheat Sheets; 20 Questions to Detect Fake Data Scientists; Top 10 TED Talks for the Data Scientists; Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn.
As demand for the hottest job is getting hotter in new year, the skill set required for them is getting larger. Here, we are discussing the skills which will be in high demand for data scientist which include data visualization, Apache Spark, R, python and many more.
Most online dating sites use 'Netflix-style' recommendations which match people based on their shared interests and likes. What about those matches that work so well because people are so different - here is my example.
Gender imbalance in the workforce has been highlighted alarmingly during the recent years. Here, we are providing you a couple of reasons, including the inherent advantage and lack of stereotype for role to hire women data scientists.
hack.summit() is a virtual conference, uniting renowned programming language creators, open-source contributors and other top experts. Free registration to all KDnuggets readers - use the code KDNUGGETS.
ADMA Data Day brings together international and local leaders in the data and marketing spaces - the perfect event for those analysts that advise senior decision makers or work within a marketing department.
Process mining is focused on the analysis of processes, and is an excellent tool in particular for the exploratory analysis of process-related data. Understand how effectively use it as an exploratory analysis tool, which can rapidly and flexibly take different perspectives on your processes.
Deep Learning has real successes, but is not enough to reach artificial intelligence, according to latest KDnuggets Poll. For more complex problems, should pure neural-net approaches be combined with symbolic, knowledge-based methods?
Predictive Analytics World for Business in San Francisco, April 3-7, features a full 2-day Financial Services track, featuring experts from Chase, Capital One, Experian, Microsoft, Paypal, and other leading companies. Sign up with code KDN150 & save up to $350.
The Most Funded #Tech #Startup In every US state; Tableau, Qlik, Microsoft leaders in Gartner 2016 BI, #Analytics Platforms; Tribute to Marvin Minsky 1927-2016, co-founder of Artificial Intelligence; No more #6degrees! On Facebook people are separated by only 3.5 degrees.
Predicting financial markets is a relatively new field of of research, it is cross-disciplinary, it is difficult and requires some insight into trading, computational linguistics, behavioral finance, pattern recognition, and learning models.
Data Visualization is a handy tool which can lead to interesting discoveries about the data, which otherwise wouldn’t have been possible. But, there are common mistakes which could produce the misdirecting results. Learn what are they and how you can avoid them.
20 Questions to Detect Fake Data Scientists; What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)? 7 Common Data Science Mistakes and How to Avoid Them; What questions can data science answer?
Filtering through companies, blogs, shops or social media websites we can make a better use of our search results and therefore add value to our internet searches. TheWebMiner is a company that offers enterprise web crawling, web scraping and many other data processing solutions.
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 Orlando, February 18-26.
As data grows to include millions and billions of points, traditional visualization techniques break down. Join Continuum Analytics on Feb 9 for a webinar on Big Data visualization with the new datashader library.
Data Warehouse Architecture 2016 offers you the first completely vendor-neutral forum to share best practice on the crucial day-to-day issues such as design, project management and funding, ETL, integration, data quality, Hadoop and upgrades.
Can money buy votes? In Iowa republican caucuses Jeb Bush spent about $2,700/per vote, with little to show. However, without Jeb, there is a strong correlation between money and votes, with $210/vote on average. We also find that spending more time in Iowa does not help.
Regression to the mean is a statistical phenomenon whereby extreme observations will tend to decrease (regress) towards the mean on subsequent readings. Regression to the mean is essentially a result of selection bias, learn more about it.
Strata + Hadoop World is the leading event on how big data and ubiquitous, real-time computing is shaping the course of business and society. Make plans to join Strata + Hadoop World in London 31 May-3 June 2016. Save 20% with code PCKDNG.
DataViz - how a decision tree makes classifications; Very Nice and Brief Tutorial on #Python #DataScience #DataViz; Per Einstein, time flows slower in Meetings than in empty space #hum; Top 10 Skills for #DataScience professionals.
The powerhouse gathering of data scientists and analysts in North America this spring is San Francisco, Apr 3-7, with Predictive Analytics World for Business, Workforce, the eMetrics Summit, and PA Times Executive Breakfast. Early bird ends Feb 5. Use KDN150 for extra savings.