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…

Here is our selection of featured articles and technical resources posted since Monday:

Announcements

• Fully online MS in Data Science at CUNY

DSC Articles

• How Kids Channel Their Internal Data Scientist to Become Candy Optimization…

• Conjunctions and disjunctions are useful tools for building algorithms. 
• They enable you to combine propositions. 
• Truth tables are a fast way to find solutions. 
• Analogies can help you to remember the results. 

Dive into machine learning, and you'll come across…

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…

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,…

Ghostly greetings!

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 –…

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…

Obtaining good quality data can be a tough task. An organization may face quality issues when integrating data sets from various applications or departments or when entering data manually.

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…

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…

What is MLOps (briefly)

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…

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…

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…

A summary of the book “Introduction to Statistical Learning” in jupyter notebooks

Whenever someone asks me “How to get started in data science?”, I usually recommend the book — “…

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.

The…

 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…

• Your in-house data science team is not the exclusive source of AI/ML based improvements. 
• Process Re-engineering is gaining new life as a way to optimize data processes.…

Data Points

• There are a number of different terms used for probability in statistics.
• Each has a distinct (and usually precise)…

Here is our selection of featured articles and technical resources posted since Monday:

Announcement

• Learn why 63% of firms will be advancing their adoption of AI by 2023.

Technical Resources

• Free book - Cloud Native, Containers and…