TIBCO: A Proud New Sponsor of Women Who Code

Apr 26 11:55am The TIBCO Blog
TIBCO is delighted to announce that we are a proud new corporate sponsor of Women Who Code and will be at the upcoming San Francisco CONNECT 2017 event this Saturday, April 29. Women Who Code is a global nonprofit dedicated to inspiring women to excel in technology careers and for those... Read More →...
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What if your toothbrush is smarter than you?

Apr 25 8:04pm Singularity Weblog
I know, this may sound ridiculous but let us look at the present trends, and you can judge for yourself. In the 19th century, we moved from natural to artificial power. So we took a hand-pump and turned it into an electric pump. A horse carriage and turned it into […]...
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Exploratory Configuration of a Multilayer Perceptron Network for Time Series Forecasting

Apr 25 3:00pm Blog – Machine Learning Mastery
It can be difficult when starting out on a new predictive modeling project with neural networks. There is so much to configure, and no clear idea where to start. It is important to be systematic. You can break bad assumptions and quickly hone in on configurations that work and areas for further investigation likely to […] The post Exploratory Configuration of a Multilayer Perceptron Network for Time Series Forecasting appeared first on Machine Learning Mastery.
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Shewhart Control Charts and Trend Charts with Limits Lines in TIBCO Spotfire

Apr 25 9:00am The TIBCO Blog
Shewhart control charts are popular charts commonly used in statistical quality control for monitoring data from a business or industrial process. The goal of a statistical quality control program is to monitor, control, and reduce process variability. These charts often have three lines—a central line along with upper and lower... Read More →...
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On voluntary taxation or what could also be called P2P taxation or emergent swarm taxation

Apr 24 12:37pm Singularity Weblog
If the state is an information structure, then the reason that it has been “computed” using representative government, is because that was a way to enforce rigid, static, computer-like processing. You can have a state without a monopoly on violence. The blockchain is exactly that. In other words, with computers, […]...
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Instability of Online Learning for Stateful LSTM for Time Series Forecasting

Apr 23 3:00pm Blog – Machine Learning Mastery
Some neural network configurations can result in an unstable model. This can make them hard to characterize and compare to other model configurations on the same problem using descriptive statistics. One good example of a seemingly unstable model is the use of online learning (a batch size of 1) for a stateful Long Short-Term Memory […] The post Instability of Online Learning for Stateful LSTM for Time Series Forecasting appeared first on Machine Learning Mastery.
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Neural Symbiosis with AI: The Neural Lace Project & The World of Advanced Intelligence

Apr 22 2:33pm Singularity Weblog
We’ve been trying to better our minds for some time. In recent years, folks have flocked to the nootropic marketplace to purchase cognitive enhancement supplements that would sharpen their focus and expand their memory recall. Now, scientists are hard at work to develop technology that would enable us to one-up […]...
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InnerSpace Interviews Nikola Danaylov on Transhumanism

Apr 20 5:03pm Singularity Weblog
Last week InnerSpace – the flagship show on the Space Channel, interviewed me and my friends David McFadzean and Agah Bahari about Transhumanism in general and “Ghost in the Shell” in particular. The segment was aired last night on InnerSpace at 6 & 11 p.m. ET with multiple repeat broadcasts on […]...
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Stateful and Stateless LSTM for Time Series Forecasting with Python

Apr 20 3:00pm Blog – Machine Learning Mastery
The Keras Python deep learning library supports both stateful and stateless Long Short-Term Memory (LSTM) networks. When using stateful LSTM networks, we have fine-grained control over when the internal state of the LSTM network is reset. Therefore, it is important to understand different ways of managing this internal state when fitting and making predictions with […] The post Stateful and Stateless LSTM for Time Series Forecasting with Python appeared first on Machine Learning Mastery.
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3 Customer Speakers Announced for TIBCO NOW Berlin!

Apr 20 12:00pm The TIBCO Blog
With the theme Digital Smarter, TIBCO NOW 2017 will take digital transformation—a top priority for many businesses—one step further. Very important elements of the conference are the customers who will be sharing their transformation experiences and results.  Register for TIBCO NOW Berlin to learn from great customer speakers! Join us at The Estrel Hotel... Read More →...
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Learning Is a Journey, Not a RaceJoin the TIBCO Analytics Community

Apr 19 12:15pm The TIBCO Blog
You might associate TIBCO with racing if you follow the successes of Team TIBCO-SVB women’s cycling and the recent announcement of TIBCO’s global partnership with the 2016 FIA Formula One World Champions, Mercedes-AMG Petronas Motorsport. TIBCO will provide the motorsport team with in advanced analytics expertise using the TIBCO Insight Platform.... Read More →...
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News: Daniel (Danny) Bobrow

Apr 18 7:00pm Artificial Intelligence
It is with great sadness that we acknowledge the passing of  Professor Daniel (Danny) Bobrow, Former Editor-in-Chief of Artificial Intelligence. ...
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How to Use Features in LSTM Networks for Time Series Forecasting

Apr 18 3:00pm Blog – Machine Learning Mastery
The Long Short-Term Memory (LSTM) network in Keras supports multiple input features. This raises the question as to whether lag observations for a univariate time series can be used as features for an LSTM and whether or not this improves forecast performance. In this tutorial, we will investigate the use of lag observations as features […] The post How to Use Features in LSTM Networks for Time Series Forecasting appeared first on Machine Learning Mastery.
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4 Things You Should Know From The New Generation Of Embedded BI Will Close The Insights-To-Action Gap, April 2017, Forrester

Apr 18 12:00pm The TIBCO Blog
Last week, Forrester Research released a report dedicated to the subject of embedded BI—the practice of integrating reporting and analytics functionality into business applications: The New Generation Of Embedded BI Will Close The Insights-To-Action Gap, April 2017, Forrester. In the report, Forrester examines the “new generation” of embedded BI technologies... Read More →...
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How to Use Timesteps in LSTM Networks for Time Series Forecasting

Apr 16 3:00pm Blog – Machine Learning Mastery
The Long Short-Term Memory (LSTM) network in Keras supports time steps. This raises the question as to whether lag observations for a univariate time series can be used as time steps for an LSTM and whether or not this improves forecast performance. In this tutorial, we will investigate the use of lag observations as time […] The post How to Use Timesteps in LSTM Networks for Time Series Forecasting appeared first on Machine Learning Mastery.
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Minimize Risk & Maximize Opportunities

Apr 14 8:00am The TIBCO Blog
In today’s world of data tsunami, it is insufficient to just collect data from a bunch of sources and react to it sporadically. You need a robust, secure, and reliable analytics solution that lets you capture and consolidate all the elements of risk from all sources and convert them to... Read More →...
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How to Update LSTM Networks During Training for Time Series Forecasting

Apr 13 3:00pm Blog – Machine Learning Mastery
A benefit of using neural network models for time series forecasting is that the weights can be updated as new data becomes available. In this tutorial, you will discover how you can update a Long Short-Term Memory (LSTM) recurrent neural network with new data for time series forecasting. After completing this tutorial, you will know: […] The post How to Update LSTM Networks During Training for Time Series Forecasting appeared first on Machine Learning Mastery.
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TIBCO and Mercedes-AMG Petronas Motorsport Form Global Partnership

Apr 13 8:30am The TIBCO Blog
TIBCO is thrilled to announce a global partnership with the 2016 FIA Formula One World Champions, Mercedes-AMG Petronas Motorsport. As an Official Team Partner, TIBCO will provide the team with expertise in the area of advanced analytics through the TIBCO Insight Platform, while the distinctive TIBCO logo will be featured on... Read More →...
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TIBCO NOW: The SequelComing to Berlin June 2017

Apr 12 11:10am The TIBCO Blog
Berlin has become a unique, multicultural hub, filled with an eclectic assortment of people from more than 150 nations. It has a vibrant art community, a unique club scene, is extremely bike friendly, houses one of the largest zoos in the world, is awash in history, and where you can... Read More →...
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2ML: Discover the Applications of Machine Learning for your Business

Apr 12 5:03am The Official Blog of BigML.com
Machine Learning is fast impacting all business sectors. In fact, the right application of Machine Learning can significantly transform any business data into actionable insights, which helps enterprises grow their businesses as decision makers can more consistently make the right decisions at the right time. The continuous evolution of predictive applications allow companies to foresee […]...
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How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting

Apr 11 3:00pm Blog – Machine Learning Mastery
Configuring neural networks is difficult because there is no good theory on how to do it. You must be systematic and explore different configurations both from a dynamical and an objective results point of a view to try to understand what is going on for a given predictive modeling problem. In this tutorial, you will […] The post How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting appeared first on Machine Learning Mastery.
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Nikola and Amish on their April Fools Prank: Serious about Comedy and Comedy about the Serious

Apr 10 11:00am Singularity Weblog
Yesterday I did a Facebook Live session together with comedian Amish Patel where we talked about our April Fool’s Prank, got serious about comedy and did a little comedy about the serious. So, if you still haven’t seen my “interview” with “Dr. Amish Patel” on why the Universe is a […]...
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How to Seed State for LSTMs for Time Series Forecasting in Python

Apr 9 3:00pm Blog – Machine Learning Mastery
Long Short-Term Memory networks, or LSTMs, are a powerful type of recurrent neural network capable of learning long sequences of observations. A promise of LSTMs is that they may be effective at time series forecasting, although the method is known to be difficult to configure and use for these purposes. A key feature of LSTMs […] The post How to Seed State for LSTMs for Time Series Forecasting in Python appeared first on Machine Learning Mastery.
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TIBCO NOW SingaporeEvent Roundup

Apr 7 3:30am The TIBCO Blog
Missed out on TIBCO NOW Singapore? Need a refresher? You’ve come to the right place! We’ve rounded up the best photos, announcements, quotes, and things you may have missed from last week’s TIBCO NOW 2017 kickoff! Get a first-hand look at the fun had, connections made, ideas shared, and new ones... Read More →...
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Time Series Forecasting with the Long Short-Term Memory Network in Python

Apr 6 3:00pm Blog – Machine Learning Mastery
The Long Short-Term Memory recurrent neural network has the promise of learning long sequences of observations. It seems a perfect match for time series forecasting, and in fact, it may be. In this tutorial, you will discover how to develop an LSTM forecast model for a one-step univariate time series forecasting problem. After completing this […] The post Time Series Forecasting with the Long Short-Term Memory Network in Python appeared first on Machine Learning Mastery.
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How Do Customers Use TIBCO Technology?

Apr 6 8:54am The TIBCO Blog
Our new Customers website shows off how companies across every major industry are using TIBCO technology to improve business results and customer satisfaction. The site includes quotes, videos, and stories that describe the most pressing challenges faced by organizations around the globe, how and why they decided on TIBCO, benefits they’re... Read More →...
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Create Node.js Microservices in TIBCO Cloud Integration

Apr 5 8:34am The TIBCO Blog
The world of integration is hybrid. Not only hybrid in the sense that you have on-premise and cloud-based applications, but also hybrid in the types of people that connect systems together or build something completely new. What really doesn’t change is the fact that people want to use the tools... Read More →...
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Seasonal Persistence Forecasting With Python

Apr 4 3:00pm Blog – Machine Learning Mastery
It is common to use persistence or naive forecasts as a first-cut forecast on time series problems. A better first-cut forecast on time series data with a seasonal component is to persist the observation for the same time in the previous season. This is called seasonal persistence. In this tutorial, you will discover how to […] The post Seasonal Persistence Forecasting With Python appeared first on Machine Learning Mastery.
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Whats New in Spotfire: What Users Say, April 2017

Apr 4 8:55am The TIBCO Blog
On TrustRadius, a community of professionals sharing software reviews, software discussions, and best practices, one user (a finance and accounting manager in an Oil & Energy company with 10,001+ employees) says: “Best data discovery/analytics software on the market.” The user goes on to list some TIBCO Spotfire pros: Data discovery... Read More →...
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News: Computer Science Digital Catalogue 2017

Apr 3 7:00pm Artificial Intelligence
Computer Science Digital Catalogue 2017...
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Embedded Analytics Part 5: Using Big Data to Transform Learning with Waggle

Apr 3 8:00am The TIBCO Blog
In the fifth and final part of our series on Jaspersoft’s new eGuide, Embedded Analytics—A new era of competitive advantage for software makers, we take a look at TIBCO Jaspersoft customer Waggle. The company’s goal was to build an online learning application that would develop personalized learning paths for students. With a... Read More →...
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How to Tune ARIMA Parameters in Python

Apr 2 3:00pm Blog – Machine Learning Mastery
There are many parameters to consider when configuring an ARIMA model with Statsmodels in Python. In this tutorial, we take a look at a few key parameters (other than the order parameter) that you may be curious about. Specifically, after completing this tutorial, you will know: How to suppress noisy output from the underlying mathematical […] The post How to Tune ARIMA Parameters in Python appeared first on Machine Learning Mastery.
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Dr. Amish Patel: The Universe is a Simulation and I Have the Proof

Apr 1 8:54am Singularity Weblog
Do you fear we might live in a simulation? Well, I just had the unique privilege to interview Dr. Amish Patel, who not only argues passionately that the Universe is indeed a simulation but also shares for the very 1st time his groundbreaking proof that this is indeed the case. […]...
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PAPIs Connect 2017 Call for Proposals

Mar 31 11:22am The Official Blog of BigML.com
PAPIs Connect, Latin America’s 1st conference on real-world Machine Learning applications goes to São Paulo, Brazil, on June 21-22, 2017. We are now calling for proposals to select the best talks, ideas and applications that will be shown at the Telefonica Auditorium. PAPIs Connect is a series of more localized events that run in between […]...
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Simple Time Series Forecasting Models to Test So That You Dont Fool Yourself

Mar 30 2:00pm Blog – Machine Learning Mastery
It is important to establish a strong baseline of performance on a time series forecasting problem and to not fool yourself into thinking that sophisticated methods are skillful, when in fact they are not. This requires that you evaluate a suite of standard naive, or simple, time series forecasting models to get an idea of […] The post Simple Time Series Forecasting Models to Test So That You Don’t Fool Yourself appeared first on Machine Learning Mastery.
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SAIC Motor takes a strategic stake in BigML

Mar 30 11:21am The Official Blog of BigML.com
Today, we are happy to share BigML has secured a strategic investment from SAIC Capital, the corporate venture of SAIC Motor Corporation Limited (SAIC Motor) – the $110B company that leads the automotive design and manufacturing industry in China. As part of the investment, Tao Wang, Director of Investment, is joining BigML’s board of directors. […]...
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Sometimes Less Really is More

Mar 30 3:01am The TIBCO Blog
When you hear the term “less is more”, what comes to mind? Some people use that term when they refer to simplifying their lifestyle, some use it as a philosophy to describe their approach to cooking, and to others it can a reference to how they spend their leisure time.... Read More →...
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TIBCO Trailblazer Awards Celebrate Customer Innovation at TIBCO NOW Singapore

Mar 29 4:00am The TIBCO Blog
TIBCO is proud to recognize the leading-edge customers who are harnessing TIBCO technology to game-changing effect in Asia-Pacific with TIBCO Trailblazer Awards. The awards return for the fourth consecutive year at the start of the TIBCO NOW conference series in Singapore, showcasing the top four businesses in the region who have... Read More →...
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Feature Selection for Time Series Forecasting with Python

Mar 28 2:00pm Blog – Machine Learning Mastery
The use of machine learning methods on time series data requires feature engineering. A univariate time series dataset is only comprised of a sequence of observations. These must be transformed into input and output features in order to use supervised learning algorithms. The problem is that there is little limit to the type and number […] The post Feature Selection for Time Series Forecasting with Python appeared first on Machine Learning Mastery.
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Sensitivity Analysis of History Size to Forecast Skill with ARIMA in Python

Mar 26 2:00pm Blog – Machine Learning Mastery
How much history is required for a time series forecast model? This is a problem-specific question that we can investigate by designing an experiment. In this tutorial, you will discover the effect that history size has on the skill of an ARIMA forecast model in Python. Specifically, in this tutorial, you will: Load a standard […] The post Sensitivity Analysis of History Size to Forecast Skill with ARIMA in Python appeared first on Machine Learning Mastery.
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Distill: An online visual machine learning journal

Mar 25 11:55pm Robotics Zeitgeist
This past week, a number of heavy hitters in the machine learning community launched the first online, interactive and peer reviewed machine learning journal with a focus on publishing original research and expository papers with an emphasis on clear explanations of the core ideas. The new journal is called Distill. The steering committee consists of… Read More »...
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How to Make Out-of-Sample Forecasts with ARIMA in Python

Mar 23 2:00pm Blog – Machine Learning Mastery
Making out-of-sample forecasts can be confusing when getting started with time series data. The statsmodels Python API provides functions for performing one-step and multi-step out-of-sample forecasts. In this tutorial, you will clear up any confusion you have about making out-of-sample forecasts with time series data in Python. After completing this tutorial, you will know: How […] The post How to Make Out-of-Sample Forecasts with ARIMA in Python appeared first on Machine Learning Mastery.
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BigML Winter 2017 Release Webinar Video is Here!

Mar 22 2:04pm The Official Blog of BigML.com
As announced in our latest blog posts, Boosted Trees is the new supervised learning technique that BigML offers to help you solve your classification and regressions problems. And it is now up and running as part of our set of ensemble-based strategies available through the BigML Dashboard and our REST API. If you missed the webinar that […]...
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Reducing Time-to-Insight with Automated Written Narratives by Wordsmith

Mar 22 10:35am The TIBCO Blog
In January, TIBCO and Automated Insights announced a partnership to bring automated narrative explanations to TIBCO Spotfire dashboards. The integration of Automated Insights’ natural language generation platform, Wordsmith, with TIBCO’s Spotfire data visualization and analytics software, enables customers to make faster, more cohesive conclusions and decisions for their companies. With... Read More →...
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Time Series Forecasting with Python 7-Day Mini-Course

Mar 21 2:00pm Blog – Machine Learning Mastery
From Developer to Time Series Forecaster in 7 Days. Python is one of the fastest-growing platforms for applied machine learning. In this mini-course, you will discover how you can get started, build accurate models and confidently complete predictive modeling time series forecasting projects using Python in 7 days. This is a big and important post. […] The post Time Series Forecasting with Python 7-Day Mini-Course appeared first on Machine Learning Mastery.
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Embedded Analytics Part 4: The Who, What, and Why of Embedded Analytics

Mar 21 8:09am The TIBCO Blog
To buy, or to build? That is the question… when it comes to Business Intelligence (BI) software. And it’s the subject of part 4 in our series on Jaspersoft’s brand new Embedded Analytics eGuide. When deciding whether to buy or build embedded analytics, software companies must balance providing a superior... Read More →...
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The Down Low on Boosting

Mar 21 3:58am The Official Blog of BigML.com
If you’ve been following our blog posts recently, you know that we’re about to release another variety of ensemble learner, Boosted Trees. Specifically, we’ve implemented a variation called gradient boosted trees. Let’s quickly review our existing ensemble methods. Decision Forests take a dataset with either a categorical or numeric objective field and build multiple independent tree models […]...
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Boosted Trees with WhizzML and Python Bindings

Mar 20 4:35am The Official Blog of BigML.com
In this fifth post about Boosted Trees, we want to adopt the point of view of a user who feels comfortable using some programming language. If you follow this blog, you probably know about WhizzML or our bindings, which allow for programmatic usage of all the BigML’s platform resources. In order to easily automate the use […]...
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How to Handle Missing Data with Python

Mar 19 2:00pm Blog – Machine Learning Mastery
Real-world data often has missing values. Data can have missing values for a number of reasons such as observations that were not recorded and data corruption. Handling missing data is important as many machine learning algorithms do not support data with missing values. In this tutorial, you will discover how to handle missing data for […] The post How to Handle Missing Data with Python appeared first on Machine Learning Mastery.
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The Secret to Data-Driven Apps

Mar 17 8:28am The TIBCO Blog
Do you think that FitBit could sell more than 60 million devices and maintain 20 million+ active users without help from data? Without data, those devices are just pieces of plastic. The kind of data experiences delivered by companies like FitBit is ‘over-the-counter’—easily digested, easy to get insights. Like over the... Read More →...
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Programming Boosted Trees

Mar 17 6:17am The Official Blog of BigML.com
In this, the fourth of our blog posts for the Winter 2017 release, we will explore how to use boosted Trees from the API. Boosted Trees are the latest supervised learning technique in BigML’s toolbox. As we have seen, they differ from more traditional ensembles in that no tree tries to make a correct prediction on its […]...
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How to Train a Final Machine Learning Model

Mar 16 2:00pm Blog – Machine Learning Mastery
The machine learning model that we use to make predictions on new data is called the final model. There can be confusion in applied machine learning about how to train a final model. This error is seen with beginners to the field who ask questions such as: How do I predict with cross validation? Which […] The post How to Train a Final Machine Learning Model appeared first on Machine Learning Mastery.
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Kuveyt Turk Bank Streams to Double Customers and Increase Profit

Mar 16 8:30am The TIBCO Blog
In Turkey, Kuveyt Turk operates as a participation bank, recruiting other banks to participate and share risks and profits. It conducts business in five segments: retail, small business, commercial, corporate; and treasury, international, and investment banking, and wanted to efficiently increase trading volumes and its customer base. “Our objectives were... Read More →...
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Boosting the Oscars

Mar 16 3:48am The Official Blog of BigML.com
In this blog post, the third one in our six post series on Boosted Trees, we will bring the power of Boosted Trees to a specific example. As we have seen in our previous post, Boosted Trees are a form of supervised learning that combine every tree in the ensemble additively to answer classification and regression […]...
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The Six Steps to Boosted Trees

Mar 15 4:12am The Official Blog of BigML.com
BigML is bringing Boosted Trees to our ever-growing suite of supervised learning techniques. Boosting is a variation on ensembles that aims to reduce bias, potentially leading to better performance than Bagging or Random Decision Forests. In our first blog post of this series of six posts about Boosted Trees, we saw a gentle introduction to Boosted […]...
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How to Install a Python 3 Environment on Mac OS X for Machine Learning and Deep Learning

Mar 14 2:00pm Blog – Machine Learning Mastery
It can be difficult to install a Python machine learning environment on Mac OS X. Python itself must be installed first, and then there are many packages to install, and it can be confusing for beginners. In this tutorial, you will discover how to setup a Python 3 machine learning and deep learning development environment […] The post How to Install a Python 3 Environment on Mac OS X for Machine Learning and Deep Learning appeared first on Machine Learning Mastery.
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Starting Your Digital Transformation Journey

Mar 14 8:17am The TIBCO Blog
When I spend time talking to customers, they all seem to understand the need to transform their business to a digital world—without question. But broadly speaking, the types of characters I seem to encounter generally fall into two categories: One group want to get their hands dirty with lots of... Read More →...
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Introduction to Boosted Trees

Mar 14 5:26am The Official Blog of BigML.com
We are happy to share that BigML is bringing Boosted Trees to the Dashboard and the API as part of our Winter 2017 Release. This newest addition to our ensemble-based strategies is a supervised learning technique that can help you solve your classification and regression problems even more effectively. To best inform you about our impending launch, […]...
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Artificial Intelligence Just Got Even Smarter

Mar 13 8:40am The TIBCO Blog
Little can rival the ascendancy of Artificial Intelligence’s (AI) profile from a niche concern to technology’s hottest theme, transcending the pages of the technical press to sit at the heart of mainstream culture. A certain breed of robotics has been a dominant force in this traction bringing machine learning to... Read More →...
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How to Setup a Python Environment for Machine Learning and Deep Learning with Anaconda

Mar 12 2:00pm Blog – Machine Learning Mastery
It can be difficult to install a Python machine learning environment on some platforms. Python itself must be installed first and then there are many packages to install, and it can be confusing for beginners. In this tutorial, you will discover how to set up a Python machine learning development environment using Anaconda. After completing […] The post How to Setup a Python Environment for Machine Learning and Deep Learning with Anaconda appeared first on Machine Learning Mastery.
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