Aren’t all good data scientists’ great data scientists? As much as we’d like to think good data scientists to be great data scientists, it isn’t. No doubt good data scientists are a rarity. But great ones are even more difficult to find. It is a bigger challenge like finding a needle in a haystack.
Data science industry is a thriving industry. Multiple organizations have started implementing data science practices for better future predictions. Moving to a data…Continue
Added by Yoey Thamas on September 17, 2019 at 1:00am — No Comments
In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…Continue
Added by Arjun Raghu on August 23, 2019 at 2:00am — No Comments
Data science has become an integral part of a 21st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by
There are much more industry applications and…Continue
Added by Ankit Garg on August 8, 2019 at 5:52pm — No Comments
Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platforms to extract insights from data, several academic institutions are incorporating data science into their operations and educational curriculum. This helps them engage students, improve educational…
Added by Gaurav Belani on July 1, 2019 at 8:30pm — No Comments
Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.
1. Common Assumption: People skills are just "fluffy" soft skills
Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…
Added by Rafael Knuth on June 26, 2019 at 4:30am — No Comments
Big data is the buzzword today, isn’t it?
We live in the golden age of what…Continue
Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments
The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…Continue
Added by Guido van Capelleveen on June 13, 2019 at 2:44am — No Comments
Added by Diego Lopez Yse on April 30, 2019 at 2:17pm — No Comments
The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
What is Augmented…Continue
You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…Continue
Added by Vikas Arora on April 8, 2019 at 4:00am — No Comments
According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.
As more companies become data-driven, professionals skilled in data science…Continue
Price errors and their impact:
Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…
Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments
This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.”
You can find part 1 here: “Choose a domain which enables you to create…Continue
If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data…Continue
Added by Kartik Patel on March 11, 2019 at 12:52am — No Comments
Thanks to evolving technology, retail marketers nowadays have access to wide range of data and analytics tools, which is making everyone’s life easier. It gives businesses a chance to solve problems and provide excellent customer experience.
The ability of machines to process data and perform tasks in a way that mimics human intelligence such as voice and visual recognition or decision making is opening many doors for online retailers, and brand owners look for ways to…Continue
Added by Karolina Sposob on March 11, 2019 at 12:30am — No Comments
This is the first article in what will be a three-part series:
"How to make your mark on the world as a talented, socially conscious data scientist."
Added by Marshall Lincoln on February 13, 2019 at 5:50pm — No Comments
Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different. We are going to highlight the dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of…Continue
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner
Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.
As technology move…Continue
Added by Aileen Scott on February 10, 2019 at 6:30pm — No Comments
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard. Some major incumbents have fallen and some new challengers have emerged.
The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard. Say what you will about our profession but as a platform developer you…Continue