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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From Customer Insight to ActionTaking Data Analytics to the Next Level

Feb 21 10:51am The TIBCO Blog
When a new technology comes along it goes through a fairly predictable process of evolution, starting with a long period where nothing much happens as the market gets to learn what it’s all about. That’s followed by an equally fallow period of early adoption then, if all goes to plan,... Read More →...
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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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CHCAI/MIRI research internship in AI safety

Feb 11 6:31pm Blog – Machine Intelligence Research Institute
We’re looking for talented technical researchers for a summer research internship with the Center for Human-Compatible AI (CHCAI) and the Machine Intelligence Research Institute (MIRI). About the research: CHCAI is a research center based at UC Berkeley with PIs including Stuart Russell, Pieter Abbeel and Anca Dragan. CHCAI describes its goal as “to develop the... Read more » The post CHCAI/MIRI research internship in AI safety appeared first on Machine Intelligence Research Institute.
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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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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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Tears In The Rain: A Spectacular Short 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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Recipes to Boost Employee Engagement #3: Measuring Success

Feb 1 8:40am The TIBCO Blog
In this next blog in our series of simple recipes for boosting employee engagement for your enterprise social networking (ESN), let’s look at how to prepare for and measure success. While the best practices here are often thought of as applying to early rollouts, they can just as easily be... 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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New paper: Toward negotiable reinforcement learning

Jan 25 11:11pm Blog – Machine Intelligence Research Institute
MIRI Research Fellow Andrew Critch has developed a new result in the theory of conflict resolution, described in “Toward negotiable reinforcement learning: Shifting priorities in Pareto optimal sequential decision-making.” Abstract: Existing multi-objective reinforcement learning (MORL) algorithms do not account for objectives that arise from players with differing beliefs. Concretely, consider two players with different beliefs... Read more » The post New paper: “Toward negotiable reinforcement learning” appeared first on Machine Intelligence Research Institute.
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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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Explore the New TIBCO.com Web Experience!

Jan 25 3:00pm The TIBCO Blog
Have you visited TIBCO.com lately? If you have, you’ll notice that we made some major changes. If not, you’re in for a surprise. The TIBCO website has been completely revamped with our users, customers, and partners in mind. Hurry over to explore the new web experience today, and you’ll see... 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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Cloud-Native Integration Microservices with Netflix Hystrix Circuit Breaker and TIBCO BWCE

Jan 20 8:00am The TIBCO Blog
Cloud-native microservices offer many benefits. You can develop, test, and deploy and maintain independent lightweight services. You can easily combine various technologies, including programming languages such as Java or Go, and tools like integration middleware. However, as you do not build monoliths anymore, ”that complexity has moved and […] increased... Read More →...
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A Gentle Introduction to the Random Walk for Times Series Forecasting with Python

Jan 19 1:00pm Blog – Machine Learning Mastery
How do you know your time series problem is predictable? This is a difficult question with time series forecasting. There is a tool called a random walk that can help you understand the predictability of your time series forecast problem. In this tutorial, you will discover the random walk and its properties in Python. After […] The post A Gentle Introduction to the Random Walk for Times Series Forecasting with Python appeared first on Machine Learning Mastery.
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inQuba and Whispir on their Success with TIBCO

Jan 19 8:30am The TIBCO Blog
inQuba delivers context for enhanced customer experience  To build a platform for (1) listening to the voice of the customer, (2) learning what customers were saying, (3) sharing that information across a company, and then (4) engaging with the customer to close the loop, inQuba needed a single, fully integrated,... Read More →...
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Reflecting on 2016 to Guide BigMLs Journey in 2017

Jan 19 6:38am The Official Blog of BigML.com
2016 has proven a whirlwind year for BigML with substantial growth in users, customers and the team riding on the realization by businesses and experts that Machine Learning has transformational power in the new economy where data is in abundance but actionable insights have not been able to keep pace with improvements in storage, computational […]...
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Customer Analytics in an Insight-Driven Business

Jan 18 8:54am The TIBCO Blog
In its report titled “The Insights-Driven Business”, Forrester explained that “an insights-driven business harnesses and applies data and analytics at every opportunity to differentiate its products and customer experiences”. Insights-driven businesses operate in a closed-loop learning process, where they identify metrics to measure business outcomes, gather data to develop insights,... Read More →...
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Artificial Intelligence vs Machine Learning vs Deep Learning: What does it all mean?

Jan 17 11:41pm Robotics Zeitgeist
For more than a decade, hundreds of millions of people on planet Earth have, unbeknownst to them, interacted on a daily basis with the most advanced artificial intelligence (AI) ever created. The AI I am referring to is none other than the Google search engine. Surprised? Google’s online search engine actually meets the definition of… Read More »...
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How to Grid Search ARIMA Model Hyperparameters with Python

Jan 17 1:00pm Blog – Machine Learning Mastery
The ARIMA model for time series analysis and forecasting can be tricky to configure. There are 3 parameters that require estimation by iterative trial and error from reviewing diagnostic plots and using 40-year-old heuristic rules. We can automate the process of evaluating a large number of hyperparameters for the ARIMA model by using a grid […] The post How to Grid Search ARIMA Model Hyperparameters with Python appeared first on Machine Learning Mastery.
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Do They Practice What They Preach?

Jan 17 8:23am The TIBCO Blog
Are you wondering if what TIBCO says is easy is actually easy? Everybody ‘knows’ that we are in a data-driven culture where making decisions using data is the way to go. That’s why you see words like “data-discovery” mapped to “ROI” on just about every business website. However, the truth—more... Read More →...
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Adopting Cloud: Why, When, and How?

Jan 16 8:04am The TIBCO Blog
Many of the customer conversations I have these days cover the efforts organizations are undergoing to migrate their applications to the cloud. The conversations are deeper discussions than simply around the adoption of SaaS applications; we talk about how to leverage cloud in conjunction with existing infrastructure to: Modernize IT... Read More →...
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Machine Learning Books

Jan 15 1:00pm Blog – Machine Learning Mastery
The Complete Machine Learning Bookshelf. Books are a fantastic investment. You get years of experience for tens of dollars. I love books and I read every machine learning book I can get my hands on. I think having good references is the fastest way to getting good answers to your machine learning questions, and having […] The post Machine Learning Books appeared first on Machine Learning Mastery.
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AI weekly news roundup (Jan 8-14, 2017)

Jan 13 11:39pm Robotics Zeitgeist
The second week of January is now behind us, so here is a brief look at some AI related stories as we are heading into the second half of the new year’s first month. Microsoft acquired Canadian deep learning startup Maluuba partly in order to get deep learning pioneer Yoshua Bengio onboard. Professor Bengio has… Read More »...
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Response to Cegowski on superintelligence

Jan 13 6:55pm Blog – Machine Intelligence Research Institute
Web developer Maciej Cegłowski recently gave a talk on AI safety (video, text) arguing that we should be skeptical of the standard assumptions that go into working on this problem, and doubly skeptical of the extreme-sounding claims, attitudes, and policies these premises appear to lead to. I’ll give my reply to all of these points... Read more » The post Response to Cegłowski on superintelligence appeared first on Machine Intelligence Research Institute.
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TIBCO Earns Dresner Advisory Services 2016 Technology Innovation Award

Jan 13 8:43am The TIBCO Blog
TIBCO starts off the new year right earning the Dresner Advisory Services 2016 Technology Innovation Award for technology leadership in Advanced & Predictive Analytics and Location Intelligence. The award recognizes the top vendors in its 2016 Wisdom of Crowds® series of thematic market studies. The annual research reports are based... Read More →...
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A Gentle Introduction to the Box-Jenkins Method for Time Series Forecasting

Jan 12 1:00pm Blog – Machine Learning Mastery
The Autoregressive Integrated Moving Average Model, or ARIMA for short is a standard statistical model for time series forecast and analysis. Along with its development, the authors Box and Jenkins also suggest a process for identifying, estimating, and checking models for a specific time series dataset. This process is now referred to as the Box-Jenkins […] The post A Gentle Introduction to the Box-Jenkins Method for Time Series Forecasting appeared first on Machine Learning Mastery.
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Digital Nebula Sparks Clients IT Innovation and Experimentation

Jan 12 8:03am The TIBCO Blog
Digital Nebula is a financial services consultancy that helps firms establish a digital presence, drive innovation, and prevent being disrupted. It works with tech startups to engage and compete with large organizations in a compliant and secure manner. Its goal is to give clients more agile capabilities that lead them... Read More →...
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Omni-Channel Experience Means So Much More Than Online Shopping

Jan 11 8:23am The TIBCO Blog
Congratulations! You made it through another holiday season. The final numbers for the season are still coming in, but, according to the National Retail Federation, American retailers saw about a 2\% year over year growth in shoppers during Thanksgiving weekend this year. That 2\% represents about 3 million more customers... Read More →...
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How to Model Residual Errors to Correct Time Series Forecasts with Python

Jan 10 1:00pm Blog – Machine Learning Mastery
The residual errors from forecasts on a time series provide another source of information that we can model. Residual errors themselves form a time series that can have temporal structure. A simple autoregression model of this structure can be used to predict the forecast error, which in turn can be used to correct forecasts. This […] The post How to Model Residual Errors to Correct Time Series Forecasts with Python appeared first on Machine Learning Mastery.
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