Job interviews make everyone nervous. But this is what they are designed to do. It is the most common medium to assess a candidate’s presence of mind and his/her ability to remain calm and composed in a tense situation. In order to ace the interview, you need to have in-depth knowledge of the role you are interviewing for and what is expected. Presence of mind and strong subject knowledge assumes added significance when you are preparing for a Data…Continue
Added by Rahul Dharia on February 20, 2020 at 2:30am — No Comments
In one great video.
Enjoy the video!
Added by Capri Granville on February 19, 2020 at 9:30pm — No Comments
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is…Continue
Added by Vijay Singh on February 18, 2020 at 8:57pm — No Comments
Summary: It's no secret that Python-Pandas is central to data management for analytics and data science today. Indeed, what we're seeing now is Pandas being extended to handle ever-larger data. Underappreciated is that Pandas is a tunable platform, supporting its own datatypes as well as those from numerical library Numpy. Together, these comprise…Continue
Added by steve miller on February 18, 2020 at 4:46am — No Comments
Finding creatives ways to put climate change in the limelight is essential to motivating the intensity of participation that delivers action. There are different ways to do so – from drawing attention to climate change at major events including …Continue
Added by Olha Zhydik on February 18, 2020 at 4:30am — No Comments
Given the rapid pace at which technology around has evolved, there are a lot of changes that companies these days must embrace. Perhaps the most significant, as well as the crucial difference in the context of technologies for business, is the move to the cloud. Yes, companies all over the world are moving their data along with their entire IT operations to the cloud, but why? More than a few reasons come to mind, starting with the most rudimentary benefits: Digital transformation. Cloud…Continue
Added by Ryan Williamson on February 17, 2020 at 8:34pm — No Comments
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of course there are also some interesting winner and loser stories.
The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out for 2020. The really big news is how many excellent choices are now available. In a remarkable move, the whole field of…Continue
Added by William Vorhies on February 17, 2020 at 12:19pm — No Comments
Which masters or PhD course should I choose for Data Science or Artificial Intelligence?
This is one of the most common questions I am asked
Here is my view – and the usual caveats apply – i.e. the viewpoint is personal and is not associated with any company or institution I am…Continue
Added by ajit jaokar on February 17, 2020 at 7:12am — No Comments
“Begin with an end in mind” – Stephen Covey “7 Habits of Highly Effective People”
No truer words have ever been spoken. A simple phrase that makes everyone’s life easier and more productive. Our data science team tries to live by that simple phrase, but it’s difficult because we want to jump right into “solution mode” …we have seen so many similar problems, that we already know and understand how to solve that problem. And that’s an…Continue
Added by Bill Schmarzo on February 17, 2020 at 5:00am — No Comments
Added by Janardhanan PS on February 16, 2020 at 9:02pm — 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. …Continue
Added by Vincent Granville on February 14, 2020 at 6:30pm — No Comments
Machine learning algorithms learn in three ways: unsupervised, supervised, and semi supervised. This picture illustrates the differences between the three types.
Added by Stephanie Glen on February 14, 2020 at 12:30pm — No Comments
There are two forces that are fundamentally remaking the technology landscape today. One is Kubernetes and the other is high performance Object Storage. They are powering (or are shaped by, depending on your perspective) modern, data-rich applications that include AI/ML and application logs. Either way, modern applications need Kubernetes and Object Storage and Kubernetes and Object Storage owe their rise in part to these same modern applications.
They are symbiotic and they are…Continue
Added by Jonathan Symonds on February 14, 2020 at 10:16am — No Comments
I have programmed exclusively in C for five years so far. I can say from experience, after one and half years in C, I was beginning to understand pointers, malloc() and arrays of pointers to pointers of structs containing pointers. I really mean was beginning to understand, not…Continue
Added by Arnuld on February 14, 2020 at 3:00am — No Comments
Burma Shave ads in the service of Data Science
Added by Robert R. Tucci on February 13, 2020 at 10:59pm — No Comments
In this modern age, self-driving cars, voice-based assistants, social media feeds, and more are the tools fuelled by the technological marvel of the 21st century called machine learning.
If you wish to learn about the importance of web personalization and how machine learning impacts the Drupal development, then this article is for you.…
Added by Ryan Williamson on February 13, 2020 at 8:25pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on February 13, 2020 at 12:30pm — No Comments
Money on the Table..MOTT. When I was the Vice President of Advertiser Analytics at Yahoo, this became a key focus guiding the analytics that we were delivering to advertisers to help them optimize their spend across the Yahoo ad network. Advertisers had significant untapped advertising and marketing spend into which we were not tapping because we could not deliver audience, content and campaign insights to help them spend that money with us. And the MOTT was…Continue
Added by Bill Schmarzo on February 13, 2020 at 7:00am — No Comments
Many traditional businesses hate to fail. They embrace concepts such as Fail Fast in public, but deep inside their hearts, they are scared to fail. Failure is what gives corporate employees sleepless nights. In fact, many corporate initiatives fail, such as data science projects, for example. Why is failure so unloved, and what can we do about it? We have to change the way we think about failure.
Failure is not an event, it's a process.
This distinction is…Continue
Added by Rafael Knuth on February 13, 2020 at 6:51am — No Comments
In this post, we explore two terms which are becoming relatively common in professional machine learning applications – MLOps and DevOps
The term MLOps refers to a set of techniques and practises for data scientists to collaborate operations professionals.. MLOps aims to manage deployment of machine learning and deep learning models in large-scale production environments.
The term DevOps comes from the software…Continue
Added by ajit jaokar on February 12, 2020 at 10:00pm — No Comments