As the amount of data being produced in the world increases, it is becoming essential to create systems to store, handle, and manage this existing…Continue
Added by Data Geek on November 19, 2021 at 7:00am — No Comments
Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like there has been in software development for the past 20 or more years. An ML…Continue
Added by Alexandra Joseph on July 7, 2021 at 12:30am — No Comments
Added by Data Geek on April 7, 2021 at 3:30am — No Comments
by Hudson Hollister
Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…Continue
Added by Paul Derstine on October 28, 2019 at 11:30am — No Comments
by Vic Diloreto, Director, Software Products, Elder Research
The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. This server-based, data analytics product fuses data from…Continue
Added by Paul Derstine on October 17, 2019 at 5:01am — No Comments
Note: This blog was written by Dr. John Elder and was originally published on www.elderresearch.com/blog.
Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for…Continue
Added by Paul Derstine on July 30, 2019 at 9:30am — No Comments
Note: This blog was written by Dr. William Goodrum and originally posted on www.elderresearch.com.
It has become common to talk about data being the new oil. But a recent piece from …Continue
Added by Paul Derstine on July 30, 2019 at 9:30am — No Comments
A data scientist must know how to approach the extent of any problem; it means identifying features and figuring out the question that how to frame the desired answer is the key to become the most wanted data scientist. …Continue
Added by Nisha Dhiman on July 1, 2019 at 9:00pm — No Comments
The fact that women are underrepresented in technology roles is not a novel observation. Data science roles follow this unfortunate pattern. In the United States, women hold a mere 26% of data jobs. The data science field is booming and the rise of big data is visible almost everywhere. While data science is still new, as a society, we cannot be complacent with women making up just a quarter of the field — we need more women in data…Continue
Added by Sydney Sarachek on June 28, 2018 at 11:00am — No Comments
Blog post by Henry Hinnefield, Lead Data Scientist at Civis Analytics
In our work at Civis, we build a lot of models. Most…Continue
Chamber of Deputies is the lower house of National Congress of Brazil. It has 513 congress people, 219 of them max out their monthly spending that can be reimbursed. One congressperson gets 30 gas tanks filled every month. Two congress people have claimed 13 meals paid on the same day. These were identified by an Artificial Intelligence project - Operation Serenata de Amor. The platform has analysed more than 3 million notes and raised about 8000 cases in irregular public…Continue
Added by Samir Madhavan on April 1, 2018 at 10:00pm — No Comments
Recently my team embarked on a mission to make data more accessible and useful to everyone, creating free resources to utilise whilst studying, analyzing and interpreting data.
The first resource we created was 'Data Fallacies to Avoid', an illustrated…
Added by Tom Bransby on March 28, 2018 at 2:30am — No Comments
If you have ever wondered or still wonder what the best job in Silicon Valley is, which ranks No. 1 on Glassdoor’s best jobs in America list for 2016 and 2017, you can stop now. Also referred to as the sexiest job of the 21st century, it’s data science.
Whether you look at the salary and packages currently being offered for this job, or the rise in demand for these professionals, the numbers still look pretty impressive. According to Glassdoor, data scientists make on average $128,549…Continue
Added by Claudia Virlanuta on February 13, 2018 at 9:30am — No Comments
The world is rapidly changing thanks to digital technologies.
Business are transforming along wit it.
Join Ronald van Loon on his journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.
Added by Ronald van Loon on February 6, 2018 at 9:30pm — No Comments
When it comes to storytelling, we have a problem.
It’s not our fault though – as human beings we are hard-wired from birth to look for patterns and explain why they happen. This problem doesn’t go away when we grow up though, it becomes worse the more intelligent we think we are. We convince ourselves that now we are older, wiser, smarter, that our conclusions are closer to the mark than when we were younger (the faster the wind blows the faster the windmill blades…Continue
Now that Christmas and the New Year are behind us the nights are becoming a little longer with each passing day. Nevertheless, there's still loads of cold winter nights left to endure (unless you're in the Southern Hemisphere, in which case – throw me a shrimp on the barbie!).
It's time to dust off your New Year resolutions from last year (remember those?) and get ready for a new start, a new you and learn some new data skills.
I’ve thrown together a collection of five…Continue
While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.
The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the…Continue
Added by Lior Shamir on November 30, 2017 at 2:00pm — No Comments
A common scenario that data analysts in general encounter is what I like to describe as "data denialism". Often, and especially while consulting, an analyst will find that the data tells a different story than what the customer holds to be true. It is also often the case that, when presenting this finding, the customer will outright deny the evidence, asserting that either the data or the analysis must be wrong. For example, it may be that a retailer focused on the…Continue
Added by Jesus Ramos on August 16, 2017 at 8:00am — No Comments
Machine learning is cool. There is no denying in that. In this post we will try to make it a little uncool, well it will still be cool but you may start looking at it differently. Machine learning is not a black box. It is intuitive and this post is just to convey that.
If I give you this function
f(x) = x^2 + log(x) and ask you to tell me what will be
f(2), you will first laugh at me and then run away to do something important. This is trivial for you,…
Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…Continue