We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect.
Over the past decade, Data Science has stretched out into almost every industry. Form industries like Automobiles and Healthcare to Finance as well as the Gaming Sector. It plays a significant part in the government sectors. So here are some instances of the most impactful…Continue
Added by Sudhanshu Ahuja on August 19, 2019 at 3:00am — 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 August 18, 2019 at 10:30am — No Comments
Landing a man on the moon 50 years ago was a true feat of genius, and an outstanding collaboration between many different stakeholders with many differing individual agendas and objectives (not exactly something we’re seeing out of our government leaders today).
BusinessWeek magazine, as always, published an exceptional article titled “Five Management Lessons the Apollo…Continue
Added by Bill Schmarzo on August 18, 2019 at 5:22am — No Comments
Who is Data Scientist?
Added by Lakshmi Narasimhan Santhanam on August 17, 2019 at 7:30pm — No Comments
Bayesian Machine Learning (part - 4)
In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting from…Continue
Added by Ashutosh vyas on August 16, 2019 at 8:34am — No Comments
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where…Continue
Added by Olha Zhydik on August 16, 2019 at 7:00am — No Comments
Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on…Continue
Added by AI on August 16, 2019 at 6:00am — No Comments
Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognise, localise and segment images; they’re now able to effectively translate…Continue
Added by Olha Zhydik on August 16, 2019 at 5:30am — No Comments
The amount of data generated today is astonishing. Research published by Seagate reports that by 2025, around 175 Zettabytes of data will be generated on an annual base. The colossal sets of collected, analyzed, monitored, and stored data is only…Continue
Added by Sandra Durcevic on August 16, 2019 at 12:30am — No Comments
In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it- Kevin Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our…
Added by Igor Bobriakov on August 15, 2019 at 9:49pm — No Comments
Here is our selection of featured articles and technical contributions posted since Monday:
Technical Resources and Forum QuestionsContinue
Added by Vincent Granville on August 15, 2019 at 9:30am — No Comments
Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker
You can download the whole book by registering…Continue
Added by ajit jaokar on August 13, 2019 at 11:12am — No Comments
Added by Stephanie Glen on August 13, 2019 at 10:30am — No Comments
Artificial Intelligence and Big Data are shaping the world and every business must adopt a strategy and change the culture of their organisation to be able to survive and prosper. The Fourth Industrial Revolution is altering every facet of society and this book provides managers and professionals with the strategic skills to implement the changes required. Machines are increasingly being able to process information and perform actions that previously only humans could do. This…Continue
Added by Rekha N Swamy on August 13, 2019 at 3:30am — No Comments
Of late, a buzzword in marketing and analytics circles is CDP or Customer Data Platform. Chief Marketing Officers now have this new weapon in their arsenal to serve customers in an even better, faster and more granular manner.
A CDP is a “data unifying software”. Adding it on top of your martech stack helps manage your…
Added by Hemant Warudkar on August 13, 2019 at 2:12am — No Comments
Data Science is now becoming a highly famous and prestigious field and has also been termed as the "Sexiest job" of the 21st century said in the Harvard Business Review.
The number of data scientist jobs has grown manifolds in the past few years. According to data, the data science jobs crossed over 2 million and is continuing to increase rapidly in…Continue
Added by Rahul Dharia on August 12, 2019 at 9:02pm — No Comments
Are you considering creating a chatbot for your company’s website?
But aren't sure where to start.
Well, you are not alone.
Presently, almost every business wants to integrate a chatbot in their system to deliver better customer service and support. And thus, everybody wants to know how to create a chatbot for their…Continue
Added by Amit Dua on August 12, 2019 at 9:00pm — No Comments
Let’s explore the complexity and vulnerability of IT infrastructure and how to build a modern IT infrastructure monitoring solution, using a combination of time series databases with machine learning.
Added by Tamar Gal on August 12, 2019 at 6:11am — No Comments
Recommender systems are applied in a variety of industries such as e-commerce, streaming services and others. There are two major techniques used in Recommender systems, collaborative filtering and Content-based filtering. This article presents five “Jupyter” NoteBooks which construct a large scale recommender…Continue
Added by leonardo mattes on August 12, 2019 at 4:30am — No Comments
Normally, it is better to avoid loops in R. But for highly individual tasks a vectorization is not always possible. Hence, a loop is needed – if the problem is decomposable.
Which different kinds of loops exist in R and which one to use in which situation?
In each programming language, for- and while-loops (sometimes until-loops) exist. These loops are sequential and not that fast – in R.
Added by Frank Raulf on August 12, 2019 at 12:30am — No Comments