The process of software development is rapidly evolving with the emerging new technologies being introduced in the field. In order for any software development service to be reliable and successful, it is necessary for the software development team to keep up with these technologies.
Some of the latest tech trends influencing the field…Continue
Added by Hardik Shah on October 25, 2019 at 4:44am — No Comments
To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. In fact,…Continue
Added by Matt Reaney on October 25, 2019 at 3:30am — No Comments
Added by Marija Zoldin on October 25, 2019 at 1:30am — No Comments
In a modern world of advanced technologies, our life is literally impossible without cellular telecommunications. Today, smartphones and wireless broadband Internet are common things for everybody. And recently, all developments and innovations in cellular technology are not about the availability of mobile connectivity but about bringing it to a…Continue
Added by David Balaban on October 24, 2019 at 9:32pm — No Comments
Here is our list of featured articles and technical resources posted since Monday:
Added by Vincent Granville on October 24, 2019 at 11:30am — No Comments
This article was originally posted here.
If you meet 10 people who have been in data science for more than 5 years, chances are that all of them would know of or would…Continue
Added by Andrea Manero-Bastin on October 24, 2019 at 8:00am — No Comments
This article was written by Liang-Chieh Chen and Yukun Zhu.
Semantic image segmentation, the task of assigning a semantic label, such as “road”, “sky”, “person”, “dog”, to every pixel in an image enables numerous new applications, such as the synthetic shallow depth-of-field effect shipped in the portrait mode of the Pixel 2 and Pixel 2 XL smartphones and …Continue
Added by Andrea Manero-Bastin on October 24, 2019 at 7:30am — No Comments
Here is a short blog I was asked to make about making a personal Wiki from Wikipedia. It shows the basic steps in text processing so I hope it will be useful for data scientists. It also requires some knowledge of MediaWiki setup on a web server, and some (not very advanced) knowledge of the Python programming language. It takes only several days to create this Wiki with Wikipedia articles if you know…Continue
Added by jwork.ORG on October 24, 2019 at 1:21am — No Comments
As the world continues to collect more and more data with every passing second, it is only understandable that we would need tools that would help us make sense of all the data at our disposal. There are undoubtedly a variety of potent tools that are capable of doing just that; big data has managed to stand out from the crowd. Why? Primarily because it brings with it the promise of just the kind of insights and intelligence businesses need to not only improve their ability to gauge precisely…Continue
Added by Ryan Williamson on October 23, 2019 at 10:02pm — No Comments
What factors contributed to the economic crisis in the United States of America?
The question above is actually also being asked by the people there (USA), and even the world community. With the value of each proportion (in percentage).
There are several things that need to be underlined, including:
Added by Jeefri A. Moka on October 23, 2019 at 9:01am — No Comments
Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework.
A proposed CSDS definition derived from…Continue
Added by Scott Mongeau on October 22, 2019 at 11:20pm — No Comments
I prefer to structure my code the same way as an article, and if have academic background as well, you can relate. Hence, I usually start with preamble, where I put all the packages and toolkits I would like to use. Then, the main part follows and subsequently the rest (for example, where the result of the model should go, all the connections). Especially if you are getting started and learn python, I recommend to structure and comment your code as clear as possible. With Jupiter you have…Continue
Imagine, you are the first data scientist in a company, may be in the industrial company, in one of the old industries, old economy branches. Then, you are an unicorn. Basically, you start data science from the scratch: you must introduce, explain, promote and establish data science. To manage this challenging task, dare to start simple!
Three years ago, I was exactly there – the first and for some time the only data scientist in the traditional, old industry company. The challenge…Continue
Added by Dr. Katharina Glass on October 21, 2019 at 9:00pm — No Comments
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advancements that will propel AI/ML to its next phase of utility.
There seem to be countless articles projecting the incredible economic and social growth that will be driven by AI. For example, PwC predicts that AI technologies and applications will increase global GDP by up to 14% between now and 2030 (see Figure 1).
Added by Bill Schmarzo on October 21, 2019 at 4:41am — No Comments
Actually the unlocking of hidden benefits and true potential of the data is an essential task for business. Also, customers` satisfaction appears to be a pushing force for evolution of services and products. If you have loads of customer data available for analysis the work on the improvement of the customers` satisfaction…Continue
Added by Igor Bobriakov on October 20, 2019 at 9:52pm — 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.
Added by Vincent Granville on October 20, 2019 at 4:30pm — No Comments
Why do we take logs of variable in Regression analysis?
We should remember that a regression equation has two parts
i) The Dependent variable (Predictand)
ii) The Independent variables (Predictors) ; which can be one or more and can be of different types (Categorical or Continuous).
The nature of the regression that we should run depends on the type of Dependent variable that we are dealing with in our model. For example, if the dependent variable is Continuous…Continue
Added by Sibashis Chakraborty on October 20, 2019 at 8:57am — No Comments
This article was written by Alberto Quesada.
The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimizer). There are many different optimization algorithms. All have different characteristics and performance in terms of memory requirements, speed and…Continue
Added by Andrea Manero-Bastin on October 20, 2019 at 2:00am — No Comments
This article was written by Laurel Brunk.
Data scientists spend most of their time (up to 79%!) on the part of their job they hate most.
The Role of…Continue