Like a conductor in an orchestra, a project manager makes sure everything is planned, executed, and closed properly. This person is a bridge between the team and the stakeholders. The scope of responsibilities includes project team, resource allocation, and business outcome. Setting goals, choosing the right methodology, progress control, and adjusting to change are among the main functions a PM…
Added by Yulia Kondratyuk on November 13, 2020 at 8:00am — No Comments
|DSC Thursday News, 12 Nov 2020…|
Added by Kurt A Cagle on November 12, 2020 at 1:00pm — No Comments
Have you ever wondered why some URLs start with ‘https’ while others start with ‘http’ or why some websites have this padlock before the URL?
The technology behind https is the Secure Sockets Layer certificate (SSL…Continue
Added by Surbhi Kapoor on November 12, 2020 at 1:30am — No Comments
The emergence of automation has posed a concern for data scientists--will it eventually replace them?
But there is no cause to worry as the eventuality will never happen. Instead, automation will help data scientists to improve the results they derive from analyzing vast amounts of data.
When it comes to the marriage between…Continue
Added by Evan Morris on November 11, 2020 at 10:01pm — No Comments
What does ‘the Future of Work’ mean? It depends on which of two sides you are viewing it from.
The View from Opposite Sides
Individuals—employees, contractors, professionals—get career advice from various channels: How should you manage your career and your future? Will your profession be upended by AI? Will your job be subsumed by automation? How will you make a living and provide for your…Continue
Added by Howard M Wiener on November 11, 2020 at 10:21am — No Comments
I love talking about business models because in the end, it’s usually the best business model, not the best technology, that wins the day. And digital transformation has the potential to reinvent business models by leveraging superior customer, product and operational insights to disrupt industry value chains and disintermediate customer relationships (see Figure 1).…Continue
Added by Bill Schmarzo on November 11, 2020 at 7:05am — No Comments
Covariance and correlation are two of the most significantly used terms in the field of statistics and probability. Both are concepts that describe the relationship between two random variables to each other.…Continue
Added by Ram Tavva on November 11, 2020 at 2:20am — No Comments
11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…Continue
Added by Aileen Scott on November 11, 2020 at 2:10am — No Comments
With the digital world growing competitive by the day, everyone is trying to understand their customers better and make finance, product development, and marketing decisions based on real data for a better return on investment (ROI). If you don’t make use of data, there is a chance you will lag behind or, at least, use more money and energy to keep up with your data-driven competitors. That said, data needs to be accurate and of high quality to be useful. Bad data is inaccurate, unreliable,…Continue
Added by Indhu on November 10, 2020 at 9:44pm — No Comments
While the Bernoulli and binomial distributions are among the first ones taught in any elementary statistical course, the Poisson-Binomial is rarely mentioned. It is however one of the simplest discrete distributions, with applications in survey analysis, see here. In this article, we are dealing with…Continue
|Data Science Central Weekly Digest…|
Added by Kurt A Cagle on November 10, 2020 at 10:00am — No Comments
Let’s understand the GAN(Generative Adversarial Network).
Generative Adversarial Networks were invented in 2014 by Ian Goodfellow(author of best Deep learning book in the market) and his fellow researchers. The…Continue
Added by Sameer Nigam on November 10, 2020 at 8:02am — No Comments
Added by Stephanie Glen on November 10, 2020 at 4:54am — No Comments
DevOps outlines a framework and array of procedures that put engineering and operations teams with each other to accomplish application development. It helps organizations to expand and upgrade innovations at a quicker speed than they would with conventional software development techniques. At a fast pace, it is becoming more common.
Becoming insights-driven is now the ultimate prize of digital transformation, and many organizations are making significant progress toward this goal. However, putting insights into action – the “last mile” of analytics – is still a challenge for many organizations.
With continued investments in data, analytics and AI, as well as the broader availability of machine-learning tools and applications, organizations have an abundance of analytical assets. Yet the creation of…Continue
Added by Courtney Peters on November 9, 2020 at 4:30am — No Comments
Every public Cloud has some essential features like- a scalable architecture, offering a pay-per-consumption model, instant reach to the masses and diversified component options. Usually, the migration-driven journey often depicts a standard architectural structure. Cloud can transform a basic prototype into reality, automate key processes and enhance customer experiences through real-time engagements containing in-depth insights. All these are only possible when the desired 'outcomes' have…Continue
Added by Rishabh Sinha on November 8, 2020 at 11:01pm — No Comments
In the past, slow evaluation of mathematical functions and large memory footprint were the most significant drawbacks of Java compared to C++/C for numeric computations and scientific data analysis. However, recent enhancements in the Java Virtual Machine (JVM) enabled faster and better numerical computing due to several enhancements in evaluating trigonometric functions.
In this article we will use the DataMelt (https://datamelt.org) for our…Continue
Added by jwork.ORG on November 7, 2020 at 10:21am — No Comments
In this blog, I will introduce a R package for Heterogeneous Ensemble Learning (Classification, Regression) that is fully automated. It significantly lowers the barrier for the practitioners to apply heterogeneous ensemble learning techniques in an amateur fashion to their everyday predictive problems.…Continue
Added by Ajay Arunachalam on November 7, 2020 at 1:50am — No Comments
Added by Kurt A Cagle on November 6, 2020 at 3:00pm — No Comments
I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning by
Vaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI).
XAI is a complex subject…Continue
Added by ajit jaokar on November 6, 2020 at 2:00pm — No Comments