Data is the new lubricant for any business. In the past decade, it was a valuable asset. Today, in digital era data and marketing are the fuel for the digital economy which rules the world. Big data means a collection of data that can be useful for the company to grow and most valuable companies…Continue
Added by Drake Vala on February 3, 2020 at 11:32pm — No Comments
Summary: Can all AI strategies be defined by a few common needs or are the different AI strategy models sufficiently unique that they need to be considered as separate approaches.
Added by William Vorhies on February 3, 2020 at 11:15am — No Comments
I am a believer that the pathway to innovation must end with putting a product or service into the market that provides economic value to customers, economics the branch of knowledge concerned with the production, consumption, and transfer of wealth. Innovation is about economics and economics is about value creation. It’s about the 4M’s…Make Me More Money!
Products or services that never reach the market may have been great ideas, but you can’t pay the mortgage or buy your Venti Chai…Continue
Added by Bill Schmarzo on February 3, 2020 at 6:30am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. …Continue
Added by Vincent Granville on February 2, 2020 at 9:30am — No Comments
Here are two great resources for machine learning and AI practitioners. Other recent free books can be found here.
1. Free and Open Machine Learning Documentation
This book is all about applying machine learning solutions for real practical use cases. This means the core focus is on outlining how to use machine learning…Continue
Added by Capri Granville on February 2, 2020 at 6:30am — No Comments
We begin the month of February of this special year 2020 with an analysis of the trends that gurus worldwide have made about what has to come to us in this year related to Artificial Intelligence and Data Science. For this I have made a infographic to summarize all these trends and I leave you different links with more information. I hope they are of your interest and we can continue expanding these trends with your contributions in the comments of the post!…Continue
Added by Noelia Gonzalez Rodriguez on February 2, 2020 at 2:30am — No Comments
This article was written by Matthew Mayo.
Scikit-learn is the de facto official machine learning library in use in the Python ecosystem. As described on its official website, Scikit-learn is:
Added by Andrea Manero-Bastin on February 1, 2020 at 9:00am — No Comments
Fifty years, ago, the lines between "data analysis" and "statistical analysis" were pretty clear. But as data analysis evolved, those lines became blurred. The differences between the two terms are now very much a grey area, but there are still a few notable differences.
Data scientists and statisticians typically define "data analysis" in different ways.
Added by Stephanie Glen on January 31, 2020 at 3:30am — No Comments
Blockchain technology has taken the IT world by storm. It has the potential to change the digital world completely, including the way businesses operate and make transactions. Initially, it was used to handle cryptocurrencies such as Bitcoin. Today, numerous business applications across domains use Blockchain as their central component.
However, Blockchain is still at an evolving stage, and its adoption is slow in most industries. Toward this, a programming language like Java can help…Continue
Added by Ryan Williamson on January 31, 2020 at 12:30am — No Comments
Here is our selection of featured articles and technical contributions posted since Monday:
Added by Vincent Granville on January 30, 2020 at 1:00pm — No Comments
The Economic Value Curve is a measure of the relationship between a dependent variable and independent variables to achieve a particular outcome such as retain customers, increase operational uptime, or optimize inventory. The Economic Value Curve measures the impact that increasing or decreasing one of the independent variables has on the dependent variable. In Figure 1, for example, if we want to improve the dependent variable “Uptime %” then we need to spend more on the independent…Continue
Added by Bill Schmarzo on January 30, 2020 at 11:30am — No Comments
When it comes to dealing with development and software, companies primarily have quite similar goals. All of them want the code to be consistent and self-documenting among other things. However, when Angular enters the picture, and it is when the scenario becomes exceptionally challenging. It can be associated with the fact that prominent the organization, more significant will be the number of developers they have working on various apps. For a company, that means they must spell out as…Continue
Added by Ryan Williamson on January 30, 2020 at 1:30am — No Comments
Added by Vincent Granville on January 29, 2020 at 9:30pm — No Comments
Summary: Workforce forecasting and scheduling applications are rapidly upgrading their use of AI. Techniques of time series forecasting ranging from the simple Holt Winters to the complex, DNNs and Multiple Temporal Aggregation are available on some but not all platforms. Increasingly, AI differentiates the usefulness of these apps.
Added by William Vorhies on January 28, 2020 at 2:15pm — No Comments
News from Google.
Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy, you could …
Added by Capri Granville on January 28, 2020 at 12:30pm — No Comments
Machine learning (ML) is a hot topic nowadays. Everyone speaks about the new programming paradigm, models are implemented in very different domains, more and more startups are relying mainly on ML.
At the same time, machine…Continue
Added by Igor Bobriakov on January 28, 2020 at 8:12am — No Comments
Even though processing and storage have become cheap and enterprises are adopting high performance analytics infrastructure, still in majority of cases the analytics study is constrained by local system. Multiple scenarios like working on a proof-of-concept in a small enterprise which can’t afford investing on heavy analytics infra, academic projects, hobby projects… the list goes on and the common factor here is system constraints.
Though we can’t escape the scenarios where we are…Continue
Added by saurabh ajmera on January 28, 2020 at 3:44am — No Comments
Hundreds of programming languages dominate the data science and statistics market: Python, R, SAS and SQL are standouts. If you're looking to branch out and add a new programming language to your skill set, which one should you learn? This one picture breaks down the differences between the four languages.
Below are more…Continue
If you ever have some moments…Continue
Added by Vincenzo Parrilla on January 27, 2020 at 11:10am — No Comments
Everything you need to know about Power BI
Enterprise owners and business leaders across the world trust Power BI and solutions to streamline their business processes and gain massive success. Ever since its establishment in 2015, it has gained huge popularity and has emerged as a number one platform for the businesses of every size.
While running an…Continue
Added by Sophia Smith on January 27, 2020 at 1:30am — No Comments