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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The Intelligence Explosion: A Short Sci Fi Film about AI Ethics

Mar 21 10:40am Singularity Weblog
The Intelligence Explosion is a hilariously witty short sci fi film about AI ethics. The film is asking questions such as: How can we prevent a robot AI from turning evil? Can we solve ethics? Can humans be a good role model for AI? I hope you enjoy The Intelligence […]...
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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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Why the politics of the future is technology and technology is the future of politics

Mar 10 1:31pm Singularity Weblog
Technology drives change. And, by definition, change turns the world upside down. So it takes a perfectly good blue-blood nobleman and turns him into a pauper. It takes a king and, at best, makes him a ceremonial figurehead with no real power. It takes a shepherd and makes him a […]...
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Integration on Steroids

Mar 10 8:18am The TIBCO Blog
“But this worked in my environment” … “I tested this I swear” … “You sure it is my code?”  These are typical responses you hear from developers when something goes wrong in production. There really isn’t anything anyone can do besides either debugging directly in production, or rolling back and... Read More →...
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BigML Winter 2017 Release and Webinar: Boosted Trees!

Mar 9 1:39pm The Official Blog of BigML.com
BigML’s Winter 2017 Release is here! Join us on Tuesday, March 21, at 10:00 AM PDT (Portland, Oregon. GMT -07:00) / 06:00 PM CET (Valencia, Spain. GMT +01:00) for a FREE live webinar to discover the enhanced version of BigML! We’ll be announcing BigML’s Boosted Trees, the third ensemble-based strategy that BigML provides to help you easily solve your classification and regression problems. […]...
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How to Get Started with Kaggle

Mar 9 1:00pm Blog – Machine Learning Mastery
4-Step Process for Getting Started and Getting Good at Competitive Machine Learning. Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities. In this post, you will discover a simple 4-step process to get […] The post How to Get Started with Kaggle appeared first on Machine Learning Mastery.
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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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GoodAI CEO Marek Rosa on the General AI Challenge

Mar 4 11:53am Singularity Weblog
Marek Rosa is the founder and CEO of Keen Software, an independent video game development studio. After the success of Keen Software game titles such as Space Engineers, Marek founded and funded GoodAI with a 10 million dollar personal investment thereby finally being able to pursue his lifelong dream of building […]...
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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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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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51

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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17

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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23

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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21

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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