If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…Continue
Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments
The use of Docker in conjunction with AWS can be highly effective when it comes to building a data pipeline.
Let me ask you if you have ever had this situation before. You are building a model in Python which you need to send over to a third-party, e.g. a client, colleague, etc. However, the person on the other end cannot run the code! Maybe they don't have the right libraries installed, or their system is not configured correctly.
Whatever the reason, Docker alleviates this…Continue
Added by Michael Grogan on July 5, 2019 at 8:30am — No Comments
With every article, we keep proving that data science has found broad application in numerous business areas. Now, the turn came to the construction industry as well. The world is overloaded with data. It results in a steady improvement in…Continue
Added by Igor Bobriakov on July 5, 2019 at 5:00am — No Comments
Machine learning models grow more powerful every week, but the earliest models and the most recent state-of-the-art models share the exact same dependency: data quality. The maxim “garbage in – garbage out” coined decades ago, continues to apply today. Recent examples of data verification shortcomings abound, including JP Morgan/Chase’s 2013 fiasco and this lovely…Continue
Added by Michał Frącek on July 4, 2019 at 4:21am — No Comments
The housing market has undergone quite a change in the past decade, with more stringent lending criteria for housing having been enforced.
A key objective of financial institutions is to minimise the risk of mortgage lending by ensuring that the debtor is ultimately able to repay the loan.
In this example, multilevel modelling techniques are used to analyse data from the Federal Home Loan Bank…Continue
Added by Michael Grogan on July 3, 2019 at 3:01am — No Comments
Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey. Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.
A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…Continue
Added by Yoey Thamas on July 2, 2019 at 12:29am — No Comments
Summary: The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists. Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.
Added by William Vorhies on July 1, 2019 at 8:00am — No Comments
Our model for recognizing specific animals in images is a neural network consisting of multiple layers, and the initial layers are already good at understanding the world in general. So instead of “re-inventing the wheel,” we only need to train the final layers.
I was excited to work on a recent project with one of our partners, Wild Detect, because it aligns with one of our goals at Appsilon — to use data science consulting to aid in the…Continue
Added by Michał Frącek on June 25, 2019 at 1:13am — No Comments
Big Brother? No, no, no, Big Data.
If someone tells you about the Big Data concept in the course of a conversation, do not think that your interlocutor is addicted to the programs of reality TV (a term used by your audience) or trash (as you like to call your detractors). Although it sounds similar, that's the Big Brother. Although in the background and tangentially, you can find certain similarities, or relationships, between the television phenomenon Big Brother and the latest…Continue
Added by Ricky Brown on June 14, 2019 at 3:14am — No Comments
Value of adopting Data Science Skills
Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.
Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…Continue
Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments
Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments
Added by satyajit maitra on April 30, 2019 at 6:00am — No Comments
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. This is what prescriptive analytics was meant to be.
Just when I thought we’d figured it all out, something comes along to make…Continue
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
I am working on transactional data on a banks portfolio and I would like to spot outliers both for credit risk and fraudulent activities. What methods would you recommend?
Added by Alex Din on April 4, 2019 at 8:00am — No Comments
This month, Panoply is running an Instagram Data Challenge! The gist is, you can pull your own Instagram data into a Panoply database with a few clicks, make a visualization or tell a data story with the data about your own posts, and enter to win one of several $1000 awards.
To kick off the challenge, I did a bit of exploration…Continue
Added by Trevor Fox on April 4, 2019 at 7:16am — No Comments
We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is an attempt to put everything together in one place, and help our readers (re-)discover some great articles and resources that were lost on the Internet over the years, but still sit on our web servers. We are making them come back to life. We are in the process of organizing it in a way that is user-friendly. Some of the resources below are very recent, and some…Continue
Added by Vincent Granville on April 3, 2019 at 5:30pm — No Comments
“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com
It is but only now that medium and small retailers have started to realize why Amazon and other e-commerce companies…Continue
Added by Hemant Warudkar on April 1, 2019 at 7:30pm — No Comments
We investigate a large class of auto-correlated, stationary time series, proposing a new statistical test to measure departure from the base model, known as Brownian motion. We also discuss a methodology to deconstruct these time series, in order to identify the root mechanism that generates the observations. The time series studied here can be discrete or continuous in time, they can have various degrees of smoothness (typically measured using the Hurst exponent) as well as long-range or…Continue
The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and…Continue
Added by Igor Bobriakov on March 31, 2019 at 10:00pm — No Comments