In his book, The Master Algorithm, Pedro Domingos imagines the following experiments:
Take a building, extremely well–built for two purposes: Nothing can enter and most importantly nothing can…Continue
Added by Paul Pinard on April 16, 2019 at 6:00am — No Comments
Graphics reveal data. It is a reasonably new invention (compared to say complex mathematical equations) as it was only in the late 1750 to 1800 that the first graphs were invented and referred to as ‘linear arithmetic’. The art and science of data visualization has grown in leaps and bounds since then and is a vital part of informed decision making today in both the business and scientific world. To manage your digital marketing campaigns with insight, it is crucial to understand the…Continue
Added by Dylan Menders on April 15, 2019 at 11:24pm — No Comments
Artificial Intelligence might not be the newest entrant in smart technology but, its redefined usage is. It has recently gained mass popularity. Now, it is being accepted across many industries. With the general public embracing AI, government agencies are also considering this fantastic technology. AI can imitate human's decision-making skills. Thus, it has the potential to improve the decision-making ability of various applications. The AI engine is useful for multiple applications such…Continue
Added by Amit Dua on April 15, 2019 at 9:30pm — No Comments
In many business scenarios it is no longer desirable to wait hours, days or weeks for the results of analytic processes. Psychologically, people expect real-time or near real-time responses from the systems they interact with. Real-time analytics is closely tied to infrastructure issues and recent move to technologies like in-memory databases is beginning to make ‘real-time’ look achievable in the business world and not just in the computer science laboratory.…Continue
Added by Ajit Singh on April 15, 2019 at 10:16am — No Comments
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow. Here are the rest.
McKinsey says platform companies will represent 30% of global…Continue
Added by William Vorhies on April 15, 2019 at 7:43am — No Comments
Describing the Data Science analytics development process has always been a struggle for me. The corporate world is full of linear processes. Major monolithic enterprise applications – ERP, MRP, SFA, CRM systems – have been architected to reduce operational complexity via a series of interlocking, heavily-engineered (and re-engineered) linear processes (though I suspect that anyone who has survived an SAP ERP implementation would take issue with my “reduce…Continue
Added by Bill Schmarzo on April 15, 2019 at 5:17am — No Comments
Added by Vincent Granville on April 14, 2019 at 7:00pm — No Comments
Guest blog by Stephan Loyd.
Hello everybody, this is my first post here, so forgive me if I screw it up.
Let me firstly introduce background of my work. Several years ago I landed onto a Perl job. It also involves some other languages like Python and R, but it was mainly Perl, until last year focus of my role switched and I still do some Perl but much less since then. I was a little…Continue
Added by Capri Granville on April 14, 2019 at 6:30pm — No Comments
I describe here the ultimate number guessing game, played with real money. It is a new trading and gaming system, based on state-of-the-art mathematical engineering, robust architecture, and patent-pending technology. It offers an alternative to the stock market and traditional gaming. This system is also far more transparent than the stock market, and can not be manipulated, as formulas to win the biggest returns (with real money) are made public. Also, it simulates a neutral,…Continue
I often encounter blogs highlighting the amount of effort needed to obtain high-quality data for analysis. Many aspects of this effort seem reasonable to me: there might be cut-and-pasting, merging, parsing, restructuring, extractions, conversions, concatenations, and conditionals. There might even be coding embedded in the file containing loops, more sophisticated conditionals, and detailed algorithmic processes. All of these are relatively minor challenges that can be overcome…Continue
Added by Don Philip Faithful on April 13, 2019 at 7:00am — No Comments
I often tell my younger coworkers that the most boring way to start a blog post is, “This post is about …” — unless of course you rap it!
This post is about generating free text
with a deep learning network
particularly it is aboutBrick X6,
make you feel soom the way (I smoke…Continue
Added by Rosaria Silipo on April 12, 2019 at 1:43pm — No Comments
Bayes’ Theorem is a way to calculate conditional probability. The formula is very simple to calculate, but it can be challenging to fit the right pieces into the puzzle. The first challenge comes from defining your event (A) and test (B); The second challenge is rephrasing your question so that you can work backwards: turning P(A|B) into P(B|A). The following image shows a basic example…Continue
Added by Stephanie Glen on April 12, 2019 at 6:30am — No Comments
Nothing like a devastating catastrophe to bring a bit of reality into the world of IoT and data science. The recent crashes of the new Boeing 737 Max have been attributed to a single point of failure – a sensor – in the design of the complex navigation system.
To summarize the situation:
Added by Bill Schmarzo on April 12, 2019 at 4:33am — No Comments
In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that such data are already well represented by predictions of some well-accepted theory. A popular statistical method for setting upper limits (also called exclusion limits) on model parameters of a new theory is based on the CLs method.…Continue
Added by jwork.ORG on April 11, 2019 at 3:00pm — No Comments
Setting up a new business? Or trying to grow an existing one? No matter which one it is, web scraping is the best way to collect data for growing your business today. It will help you get valuable insights, and information about your latest competition, no matter what you deal in – products or services. Although web scraping has been going on for quite some time, it has never been as heavily used, or as reliable as it is today.
As we live through the ever-changing world, education is the sphere that remains surprisingly behind the general rapid advancement. The WEF Future of Jobs Report 2018 states that technological breakthroughs are changing the global labor market, blurring the frontier between human jobs and automated machine tasks and people are still largely unprepared for them.…Continue
Added by Ajit Singh on April 10, 2019 at 3:30am — No Comments
This article was written by V Sharma.
Astonishing Hierarchy of Machine Learning Needs – Artificial intelligence and machine learning are used interchangeably often but for they are not the same. Machine learning is one of the most active areas and a way to achieve AI. Why ML is so good today; for this, there are a couple of reasons. Machine Learning entirely depend upon…Continue
Added by Andrea Manero-Bastin on April 10, 2019 at 2:30am — No Comments
Chatbots have emerged as one of the most significant innovations of the last decade. After initial struggles, chatbots are now readily used by businesses. Various advantages offered by chatbots have ensured their usage across different industries. One of the most useful applications of chatbots has been in customer care and engagement. For every business that deals with customers, chatbots are becoming indispensable. Chatbots deliver an exceptional customer…Continue
Added by Amit Dua on April 9, 2019 at 10:30pm — No Comments
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). Here are some lessons and examples to help mature companies evaluate where they can create AI/ML-enabled platforms to remain competitive. This is a long topic so this will be Part 1 of 2.
Added by William Vorhies on April 8, 2019 at 9:29am — No Comments
You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…Continue
Added by Vikas Arora on April 8, 2019 at 4:00am — No Comments