Human history is numerous pieces of evidence, doctrine, theologies through logic, and by extensive research in every field exists in the universe.
There is a huge gap between research and its practical application. Studies should conduct with enormous responsibility with extreme efforts, but which has a very minimal effect on real-world problems. The majority of the research across the globe appears only in a few journals (s) /books / digital form or in a printed…Continue
Added by Vijay Kumar on October 30, 2020 at 9:39pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on October 29, 2020 at 9:00am — No Comments
Dive into machine learning, and you'll come across…Continue
Added by Stephanie Glen on October 29, 2020 at 6:17am — No Comments
We are living in a data-driven and data-centric world that’s only going to produce more and more data with time. This new data is collected in an unstructured manner and processed into a structured form as per the requirement of a company. Later, meaningful insights are extracted from this data for decision-making purposes. All this process helps a company to grow in this competitive market. But, who…Continue
Added by StraitsResearch on October 29, 2020 at 1:30am — No Comments
Up until recently, we accepted the “black box” narrative surrounding AI as a necessary evil that could not be extrapolated away from AI as a concept. We understood that tradeoffs were sometimes necessary to achieve performance accuracy at the expense of transparency and explainability.…Continue
Added by Kirsten Lloyd on October 28, 2020 at 1:00pm — No Comments
If you have ever had a book self-published through Amazon or similar fulfillment houses, chances are good that the physical book did not exist prior to the order being placed. Instead, that book existed as a PDF file, image files for cover art and author photograph, perhaps with some additional XML-based metadata indicating production instructions,…Continue
I believe everyone is born with the innate, curiosity-driven, explore-test-learn Data Science capability. At Halloween, kids naturally embrace a rapid exploration, rapid testing, failure-empowering “Scientific Method” to optimize their candy yield and logistical “Trick or Treating” algorithms.
So, what can we –…Continue
Added by Bill Schmarzo on October 27, 2020 at 2:00pm — No Comments
For the last few years, I have read the free state of AI report
Here are the list of insights which I found interesting
The full report and the download link is at the end of this article
AI research is less open than you think: Only 15% of papers publish their…Continue
Added by ajit jaokar on October 27, 2020 at 11:04am — No Comments
Here are some of the things a company can do to improve the quality of the information it collects:
1. Data Governance plan
A good data governance plan should not only talk about…Continue
Added by Indhu on October 26, 2020 at 11:30pm — No Comments
Industry experts from TikTok, Microsoft, and more talk latest trends on cybersecurity & public policy.
Enterprise Ireland, Ireland’s trade and innovation agency, hosted a virtual Cyber Security & Public Policy panel discussion with several industry-leading experts. The roundtable discussion allowed cybersecurity…Continue
Added by Katelyn O'Keefe on October 26, 2020 at 4:00am — No Comments
"Fintech" describes the new technology integrated into various spheres to improve and automate all aspects of financial services provided to individuals and companies. Initially, this word was used for the tech behind the back-end systems of big banks and other organizations. And now it covers a wide…
Added by Yulia Kondratyuk on October 26, 2020 at 1:00am — No Comments
MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible, collaborative, and continuous.
MLOps is not dependent on a single technology or platform. However, technologies play a significant role in practical…Continue
Added by Henrik Skogström on October 26, 2020 at 12:57am — No Comments
Machine Learning is an important skill to have in today’s age. But acquiring the skill set could take some time especially when the path to it is unscattered. The below-mentioned points have a very wider reach to the topics it covers and essentially would give anyone a very good start when it comes to starting from scratch. Learners should not limit…Continue
Added by Tarun Saini on October 25, 2020 at 8:00pm — 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.
Featured Resources and Technical…Continue
Added by Vincent Granville on October 25, 2020 at 12:00pm — No Comments
Whenever someone asks me “How to get started in data science?”, I usually recommend the book — “…Continue
Added by Shilpa Arora on October 25, 2020 at 9:30am — No Comments
Added by Selcuk Disci on October 24, 2020 at 11:00pm — No Comments
You're a writer on AI, ML, or various and sundry other data-oriented TLAs, and you'd like to write an article for Data Science Central. Great! This article is for you. Becoming a blogger on DSC is a good way to promote your proficiency in the field, to get the word out about interesting topics, or to gain the respect of your peers.
Added by Kurt Cagle on October 24, 2020 at 2:30pm — No Comments
Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law.
Moore’s predicts that the number of transistors in an integrated circuit doubles every two years.
As per Huang’s law, GPU performance will double every two years.
Whether or not you…Continue
Added by ajit jaokar on October 24, 2020 at 2:03pm — No Comments
Added by William Vorhies on October 24, 2020 at 11:30am — No Comments
Added by Stephanie Glen on October 24, 2020 at 4:30am — No Comments