Embedded Analytics Part 3: Complexity vs. CompetitivenessTwo Sides of the Same Coin

Mar 8 8:11am The TIBCO Blog
In-application analytics can make software more valuable to users and more profitable for your business but it’s not without its challenges. The most sophisticated solution might be customer friendly but be unachievable for your development team. This leads us to the biggest question for product teams looking at embedded analytics:... Read More →...
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4 Strategies for Multi-Step Time Series Forecasting

Mar 7 1:00pm Blog – Machine Learning Mastery
Time series forecasting is typically discussed where only a one-step prediction is required. What about when you need to predict multiple time steps into the future? Predicting multiple time steps into the future is called multi-step time series forecasting. There are four main strategies that you can use for multi-step forecasting. In this post, you […] The post 4 Strategies for Multi-Step Time Series Forecasting appeared first on Machine Learning Mastery.
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Four Game Changers in Enterprise Reporting

Mar 7 8:16am The TIBCO Blog
The first electronic business reports required a highly skilled technician to physically patch wires into a board. The output was then printed on paper. It took months to get a new report written and even longer to provide data consumers with answers. The world of enterprise reporting has moved on... Read More →...
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Gartner BI & Analytics Critical Capabilities Report: The Results Are In!

Mar 6 10:35am The TIBCO Blog
TIBCO Software Scores In Top 4 Across All Use Cases As the BI market continues to evolve from from its IT-centric roots to being heavily driven by lines of business, customers are demanding more. More employees being empowered to make data driven decisions. More flexibility to respond to business needs.... Read More →...
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White Noise Time Series with Python

Mar 5 1:00pm Blog – Machine Learning Mastery
White noise is an important concept in time series forecasting. If a time series is white noise, it is a sequence of random numbers and cannot be predicted. If the series of forecast errors are not white noise, it suggests improvements could be made to the predictive model. In this tutorial, you will discover white […] The post White Noise Time Series with Python appeared first on Machine Learning Mastery.
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TIBCO Named to KMWorld Magazines 100 Companies That Matter in Knowledge Management

Mar 3 8:05am The TIBCO Blog
TIBCO Software has been selected for inclusion in KMWorld Magazine‘s annual list of “100 Companies That Matter in Knowledge Management,” alongside companies such as Apple, Adobe, and Google. This is the eighth year TIBCO has been named to the list. TIBCO is recognized for its complete integration platform, which allows companies... Read More →...
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Python Environment for Time Series Forecasting

Mar 2 1:00pm Blog – Machine Learning Mastery
The Python ecosystem is growing and may become the dominant platform for applied machine learning. The primary rationale for adopting Python for time series forecasting is because it is a general-purpose programming language that you can use both for R&D and in production. In this post, you will discover the Python ecosystem for time series […] The post Python Environment for Time Series Forecasting appeared first on Machine Learning Mastery.
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Embedded Analytics Part 2: Own the Problem, Reap the Rewards

Mar 1 8:02am The TIBCO Blog
The Software-as-a-Service model creates challenges for application makers, as short-term subscriptions give their customers flexibility to change providers every billing cycle. Software innovators are using embedded analytics to improve the stickiness of their applications and keep their users coming back again and again. Welcome to part 2 of our series... Read More →...
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PreSeries Algorithm Chooses Pixoneye as the Startup Most Likely to Succeed

Mar 1 4:39am The Official Blog of BigML.com
PreSeries, the joint venture between Telefónica Open Future\_ and BigML, staged the fourth edition of the Artificial Intelligence Startup Battle yesterday (Tuesday, February 28). The event took place at the main stage of the 4 Years From Now (4YFN) event, the startup focused platform of the Mobile World Congress that enables investors and corporations to […]...
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10 Challenging Machine Learning Time Series Forecasting Problems

Feb 28 1:00pm Blog – Machine Learning Mastery
Machine learning methods have a lot to offer for time series forecasting problems. A difficulty is that most methods are demonstrated on simple univariate time series forecasting problems. In this post, you will discover a suite of challenging time series forecasting problems. These are problems where classical linear statistical methods will not be sufficient and […] The post 10 Challenging Machine Learning Time Series Forecasting Problems appeared first on Machine Learning Mastery.
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The Hels Bet Space Opera Book Series: Singularity Art and Propaganda

Feb 28 10:25am Singularity Weblog
“Work for the Singularity to max your odds of living long. Don’t bother if you’ve got a taste for dirt.”—Heloise Chin, Hel’s Bet [1] Channel Zilch and Hel’s Bet are pro-Singularity propaganda wrapped in a thrilling, funny, space opera. The books raise a huge red flag, shouting to geeks and geek moguls, […]...
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Hybrid API Gateways: Combining the Best of SaaS and On-Premise Software

Feb 28 9:02am The TIBCO Blog
There are a lot of people hard at work building APIs who are rightfully focused on just getting the API right and not looking beyond that to what comes next. Well, what comes next is putting something in place to manage those APIs you just created, especially if you intend... Read More →...
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2017 Oscar Predictions Post-mortem

Feb 28 6:54am The Official Blog of BigML.com
Over the weekend, we saw an eventful 89th Academy Award Ceremony wrapped up. Despite underwhelming viewership counts of the televised event, it will likely be remembered for a long time for the remarkable mishap in the end. As for our predictions performance, we got 5 out of 8 predictions right. While not phenomenal, it wasn’t such a […]...
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TIBCO SpotfireA Big Jump in the 2017 Gartner BI & Analytics MQ

Feb 27 1:09pm The TIBCO Blog
It sure is great to be writing this blog on the 2017 Gartner BI and Analytics Magic Quadrant. TIBCO Spotfire’s performance is OUTSTANDING—the biggest positive movement of all vendors in the “Ability to Execute” (vertical) direction and continued Visionary! More than that, the reason I’m so excited about this year’s MQ... Read More →...
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PreSeries at 4YFN: a Good Beginning for a Great Year Ahead

Feb 27 2:58am The Official Blog of BigML.com
PreSeries, the joint venture between Telefónica Open Future\_ and BigML, has been invited to join the exclusive Four Years From Now (4YFN) event. 4YFN is the startup focused platform of the Mobile World Congress that enables investors and corporations to connect with the chosen entrepreneurs to launch new ventures together. As part of this year’s 4YFN agenda, we will also […]...
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How to Create a Linux Virtual Machine For Machine Learning Development With Python 3

Feb 26 1:00pm Blog – Machine Learning Mastery
Linux is an excellent environment for machine learning development with Python. The tools can be installed quickly and easily and you can develop and run large models directly. In this tutorial, you will discover how to create and setup a Linux virtual machine for machine learning with Python. After completing this tutorial, you will know: […] The post How to Create a Linux Virtual Machine For Machine Learning Development With Python 3 appeared first on Machine Learning Mastery.
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Deep and Reinforcement Learning Summer Schools 2017

Feb 25 9:56pm Robotics Zeitgeist
Canadian machine learning researchers have already declared publicly their desire to make Canada’s Montreal a hub of innovation for machine learning methods. One can easily argue that this is already the case considering the large number of well known researchers leading the machine learning field from Montreal’s universities in close collaboration with researchers in Toronto… Read More »...
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Why I Love TIBCOGerman Office

Feb 24 8:03am The TIBCO Blog
TIBCO Software is a great place to work, with intelligent, energetic employees who contribute to the success of the company and love what they do every day. We’re back at it with another interview with a TIBCO employee from our office in Germany. Alexander von Boguszewski, a delivery manager based in the German office,... Read More →...
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How to Save an ARIMA Time Series Forecasting Model in Python

Feb 23 1:00pm Blog – Machine Learning Mastery
The Autoregressive Integrated Moving Average Model, or ARIMA, is a popular linear model for time series analysis and forecasting. The statsmodels library provides an implementation of ARIMA for use in Python. ARIMA models can be saved to file for later use in making predictions on new data. There is a bug in the current version […] The post How to Save an ARIMA Time Series Forecasting Model in Python appeared first on Machine Learning Mastery.
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Predicting the 2017 Oscar Winners

Feb 22 11:33pm The Official Blog of BigML.com
As the 89th annual Academy of Motion Picture Arts and Sciences Award ceremony draws near and movie fans all over the world are getting ready for their office pools, we couldn’t resist the temptation to take a stab at predicting the 2017 Oscars by applying some BigML-powered Machine Learning. Of course, picking Oscar winners remains a […]...
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Whats New in TIBCO Spotfire: What Users Say, February 2017

Feb 22 1:39pm The TIBCO Blog
On TrustRadius, a community of professionals sharing software reviews, software discussions, and best practices, one user says, “TIBCO Spotfire is being used by our operations department. We are challenged to automate as many manual reports as possible with the tool. [It’s well suited for] dashboard creation giving users the ability to... Read More →...
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How to Difference a Time Series Dataset with Python

Feb 21 1:00pm Blog – Machine Learning Mastery
Differencing is a popular and widely used data transform for time series. In this tutorial, you will discover how to apply the difference operation to your time series data with Python. After completing this tutorial, you will know: About the differencing operation, including the configuration of the lag difference and the difference order. How to […] The post How to Difference a Time Series Dataset with Python appeared first on Machine Learning Mastery.
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Embedded Analytics Part 1: A New Era in Competitive Advantage for Software Makers

Feb 20 8:08am The TIBCO Blog
Powerful business trends are shaping the requirements for software application development. Meeting user demand for actionable insights with embedded data analytics is the smartest way for software companies to gain a competitive edge—and it’s the subject of a new eGuide from TIBCO Jaspersoft. A software company can never rest easily:... Read More →...
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Time Series Forecast Study with Python: Monthly Sales of French Champagne

Feb 19 1:00pm Blog – Machine Learning Mastery
Time series forecasting is a process, and the only way to get good forecasts is to practice this process. In this tutorial, you will discover how to forecast the monthly sales of French champagne with Python. Working through this tutorial will provide you with a framework for the steps and the tools for working through […] The post Time Series Forecast Study with Python: Monthly Sales of French Champagne appeared first on Machine Learning Mastery.
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The 5 Million Dollar General AI Challenge is a Path to Human-level AI

Feb 18 11:18am Singularity Weblog
Summary: ● Working towards my goal to create general AI; it will be a tool that will leverage discovery in every domain ● Using game development to bootstrap GoodAI ● The General AI Challenge is a way to crowdsource and diversify our search for human-level AI *** Since my childhood, […]...
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A Universal Basic Income is Not the Solution

Feb 17 4:50pm Singularity Weblog
The familiar structure of work we’ve been accustomed to for around 100 years has been gradually changing over the past couple of decades. Much of this change has gone unnoticed by most of the population because companies typically don’t like to talk about replacing jobs with technology and the news […]...
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How Alvaro Lemos got a Machine Learning Internship and a Job on a Data Science Team

Feb 16 1:00pm Blog – Machine Learning Mastery
Stories of how students and developers get started in applied machine learning are an inspiration. In this post, you will hear about Álvaro Lemos story and his transition from student to getting a machine learning job. Including: How interest in genetic algorithms lead to the discovery of neural networks and the broader field of machine learning. How […] The post How Alvaro Lemos got a Machine Learning Internship and a Job on a Data Science Team appeared first on Machine Learning Mastery.
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Trial Licenses Put the Buyer in the Drivers Seat

Feb 15 11:08am The TIBCO Blog
Have you ever been shopping for a car and wished you could drive it for a few weeks to give it a good shakeout before you bought it? After all, it’s a pretty big purchase and you’ll have to live with the consequences of your decision for a while, for... Read More →...
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Time Series Forecast Case Study with Python: Annual Water Usage in Baltimore

Feb 14 1:00pm Blog – Machine Learning Mastery
Time series forecasting is a process, and the only way to get good forecasts is to practice this process. In this tutorial, you will discover how to forecast the annual water usage in Baltimore with Python. Working through this tutorial will provide you with a framework for the steps and the tools for working through […] The post Time Series Forecast Case Study with Python: Annual Water Usage in Baltimore appeared first on Machine Learning Mastery.
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Building the Ultimate Valentines API

Feb 14 8:38am The TIBCO Blog
Integration is red (it is my heart, after all), clouds are blue, interconnect everything and I’ll 💙  you! With the theme of TIBCO NOW this year being “Digital Smarter”, I wanted to see if I could build the ultimate Valentine’s Day API using our own technology while considering the requirements that... Read More →...
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For the Office Heroes Everywhere

Feb 13 10:10am The TIBCO Blog
Office heroes, you know who you are, and how valuable you are. In small to medium sized businesses, you keep things running, and everyone wishes you could be cloned. Whether you’re the solo IT person in your company, the receptionist who doubles as event planner and finance assistant, or the... Read More →...
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Time Series Forecast Case Study with Python: Monthly Armed Robberies in Boston

Feb 12 1:00pm Blog – Machine Learning Mastery
Time series forecasting is a process, and the only way to get good forecasts is to practice this process. In this tutorial, you will discover how to forecast the number of monthly armed robberies in Boston with Python. Working through this tutorial will provide you with a framework for the steps and the tools for […] The post Time Series Forecast Case Study with Python: Monthly Armed Robberies in Boston appeared first on Machine Learning Mastery.
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Customer Analytics Series #6: Making Real-Time Offers From Big Data Customer Insights

Feb 10 8:37am The TIBCO Blog
In the previous post of this series, we discussed the challenge of performing customer analytics with big data—you cannot load every single record into an analysis all at once. We then introduced TIBCO’s accelerator for Apache Spark and explained how it helps you harness every pertinent piece of big data... Read More →...
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Understand Time Series Forecast Uncertainty Using Confidence Intervals with Python

Feb 9 1:00pm Blog – Machine Learning Mastery
Time series forecast models can both make predictions and provide a confidence interval for those predictions. Confidence intervals provide an upper and lower expectation for the real observation. These can be useful for assessing the range of real possible outcomes for a prediction and for better understanding the skill of the model In this tutorial, […] The post Understand Time Series Forecast Uncertainty Using Confidence Intervals with Python appeared first on Machine Learning Mastery.
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University of Chicago Medicine Improves Patient Care with Data

Feb 9 8:33am The TIBCO Blog
Combining compassionate patient care and groundbreaking medical and biological research, the University of Chicago Medicine (U Chicago Medicine) is at the forefront of facing the world’s most pressing medical challenges. “One of our goals is to deliver superior healthcare, and part of our mission is to be a leader in... Read More →...
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TIBCOs tibbr Provides Highly-Secure Collaboration Platform for Government and NGOs

Feb 8 8:06am The TIBCO Blog
Governments and NGOs have been asked to do more in collaboration and process optimization with less. An optimal approach is to try to increase the speed of information flow, break down walls and silos, accelerate innovation, and increase productivity. Due to concerns about security and related processes, these organizations were... Read More →...
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How to Make Manual Predictions for ARIMA Models with Python

Feb 7 1:00pm Blog – Machine Learning Mastery
The autoregression integrated moving average model or ARIMA model can seem intimidating to beginners. A good way to pull back the curtain in the method is to to use a trained model to make predictions manually. This demonstrates that ARIMA is a linear regression model at its core. Making manual predictions with a fit ARIMA […] The post How to Make Manual Predictions for ARIMA Models with Python appeared first on Machine Learning Mastery.
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TIBCOs Accelerator for Financial Crime Was Just Published and Its Not a Black Box

Feb 7 8:19am The TIBCO Blog
The final piece of the puzzle has just been published. First, it was my white paper called “Busting Financial Crime with TIBCO“, which explains the hows and the whys of our end-to-end approach to this horizontal issues. In particular, currently common enterprise crime fighting strategies suffer from two main problems:... Read More →...
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A Gentle Introduction to Autocorrelation and Partial Autocorrelation

Feb 5 1:00pm Blog – Machine Learning Mastery
Autocorrelation and partial autocorrelation plots are heavily used in time series analysis and forecasting. These are plots that graphically summarize the strength of a relationship with an observation in a time series with observations at prior time steps. The difference between autocorrelation and partial autocorrelation can be difficult and confusing for beginners to time series […] The post A Gentle Introduction to Autocorrelation and Partial Autocorrelation appeared first on Machine Learning Mastery.
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19

Tears In The Rain: A Spectacular SciFi Blade Runner Fanfilm

Feb 4 4:26pm Singularity Weblog
Tears In The Rain is a short film set in the world of Philip K. Dick’s novel Do Androids Dream of Electric Sheep? (1968) as well as the motion picture Blade Runner (1982). Synopsis: In a dystopian Los Angeles future, replicants or genetically engineered humanoids are created to work forced […]...
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How to Make a Digital Newsroom Dashboard with TIBCO Simplr

Feb 3 8:50am The TIBCO Blog
Our Public Relations team has many channels of data to analyze and use for reporting, but they were unconnected, and there was no one place where they could go to access all the information they needed. As as result, the team spent a lot of time gathering and distributing the... Read More →...
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How to Work Through a Time Series Forecast Project

Feb 2 1:00pm Blog – Machine Learning Mastery
A time series forecast process is a set of steps or a recipe that leads you from defining your problem through to the outcome of having a time series forecast model or set of predictions. In this post, you will discover time series forecast processes that you can use to guide you through your forecast […] The post How to Work Through a Time Series Forecast Project appeared first on Machine Learning Mastery.
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STATS4TRADE Unlocks the Power of Machine Learning for Investors

Feb 2 10:54am The Official Blog of BigML.com
The investment industry is an extremely competitive one, where fund managers work hard to demonstrate a strong track record that beats their respective benchmarks in order to be able to justify their fees and to partake in the profits from their assets under management. For retail investors, the recent years have been characterized by a significant shift towards passive investing […]...
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TIBCO 2017 Trailblazer Customer Award Nominations Open

Feb 2 8:28am The TIBCO Blog
Nominations are open for the 2017 TIBCO Trailblazer Awards! Nominate your company to showcase how your use of technology transformed IT into a strategic differentiator that fuels growth and outstanding customer experience. This year, TIBCO will honor three winners at each of three global TIBCO NOW events. Submit your nomination for... Read More →...
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Why the Future adds 0 and what Conversations with the Future is about

Jan 31 4:43pm Singularity Weblog
This is the introduction of my book Conversations with the Future. If you like it, you can buy the book on Amazon here: http://amzn.to/2kcseK9 “If someone needs directions, don’t give them a globe. It’ll merely waste their time. But if someone needs to understand the way things are, don’t give them […]...
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Time Series Forecasting Performance Measures With Python

Jan 31 1:00pm Blog – Machine Learning Mastery
Time series prediction performance measures provide a summary of the skill and capability of the forecast model that made the predictions. There are many different performance measures to choose from. It can be confusing to know which measure to use and how to interpret the results. In this tutorial, you will discover performance measures for […] The post Time Series Forecasting Performance Measures With Python appeared first on Machine Learning Mastery.
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Doubling Efficiency with Digital Twins

Jan 30 8:18am The TIBCO Blog
As first published by Internet of Business: https://internetofbusiness.com/tibco-double-efficiency-digital-twins/ In five years’ time, it’s quite likely that devices will run much of the world through their own private Internet of Things. There could be billions of them and they’ll all have their own virtual “mini-me.” But there’s no need to worry and... Read More →...
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How to Decompose Time Series Data into Trend and Seasonality

Jan 29 1:00pm Blog – Machine Learning Mastery
Time series decomposition involves thinking of a series as a combination of level, trend, seasonality, and noise components. Decomposition provides a useful abstract model for thinking about time series generally and for better understanding problems during time series analysis and forecasting. In this tutorial, you will discover time series decomposition and how to automatically split a […] The post How to Decompose Time Series Data into Trend and Seasonality appeared first on Machine Learning Mastery.
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How to Make Predictions for Time Series Forecasting with Python

Jan 26 1:00pm Blog – Machine Learning Mastery
Selecting a time series forecasting model is just the beginning. Using the chosen model in practice can pose challenges, including data transformations and storing the model parameters on disk. In this tutorial, you will discover how to finalize a time series forecasting model and use it to make predictions in Python. After completing this tutorial, […] The post How to Make Predictions for Time Series Forecasting with Python appeared first on Machine Learning Mastery.
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How and Why Customers Use TIBCO Technology

Jan 26 8:25am The TIBCO Blog
Our new Customers website shows off how more than 75 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... Read More →...
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19

Harvards soft exoskeleton

Jan 25 7:31pm Robotics Zeitgeist
It was 2009-2010 when exoskeletons exited science fiction and entered the mainstream as several companies and research labs revealed their state-of-the-art designs (see Rex Bionics, Lockheed Martin, and Honda’s exoskeletons). These wearable robots that assist a person to walk promise improved mobility for many people in need such as the handicapped and the elderly. Exoskeletons… Read More »...
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How to Use Power Transforms for Time Series Forecast Data with Python

Jan 24 1:00pm Blog – Machine Learning Mastery
Data transforms are intended to remove noise and improve the signal in time series forecasting. It can be very difficult to select a good, or even best, transform for a given prediction problem. There are many transforms to choose from and each has a different mathematical intuition. In this tutorial, you will discover how to […] The post How to Use Power Transforms for Time Series Forecast Data with Python appeared first on Machine Learning Mastery.
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TIBCO NOW 2017 Goes Global, Driving Digital Smarter

Jan 24 8:52am The TIBCO Blog
TIBCO is thrilled to announce the upcoming TIBCO NOW conference series taking place in Singapore’s Marina Bay Sands Hotel March 27-28, 2017, Berlin’s Estrel Hotel and Conference Center June 6-7, 2017, and San Diego’s Hilton San Diego Bay Front Hotel October 25-26, 2017. Elevating discussion topics from TIBO NOW 2016, this year’s... Read More →...
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Machine Learning Automation: Beware of the Hype!

Jan 23 3:23pm The Official Blog of BigML.com
There’s a lot of buzz lately around “Automating Machine Learning”.  The general idea here is that the work done by a Machine Learning engineer can be automated, thus freeing potential users from the tyranny of needing to have specific expertise. Presumably, the ultimate goal of such automations is to make Machine Learning accessible to more people.  […]...
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How to Reframe Your Time Series Forecasting Problem

Jan 22 1:00pm Blog – Machine Learning Mastery
You do not have to model your time series forecast problem as-is. There are many ways to reframe your forecast problem that can both simplify the prediction problem and potentially expose more or different information to be modeled. A reframing can ultimately result in better and/or more robust forecasts. In this tutorial, you will discover […] The post How to Reframe Your Time Series Forecasting Problem appeared first on Machine Learning Mastery.
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