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
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
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 satyajit maitra on April 30, 2019 at 6:00am — 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
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
Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our heads down — we jointly presented some of our key learnings recently at Advertising Week in New York.…
Added by Civis Analytics on March 6, 2019 at 8:00am — No Comments
Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then is streamlined, and stored in a data warehouse. These vast amounts of data can help generate significant business values.…Continue
Added by Amit Dua on March 3, 2019 at 8:30pm — No Comments
What makes a great CEO?
First of all, the answer to that question depends on who raises it: An investor will likely come up with a different answer than an employee. What if you asked a CEO? He might give you his definition. Ask another CEO, and he will likely give you a slightly or even completely different view on this subject.
Ask five people, and you will get five answers
It seems nearly impossible to find an…Continue
Added by Rafael Knuth on February 21, 2019 at 5:00am — No Comments
Visualization has become a key application of data science in the telecommunications industry.
Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can yield valuable insights regarding network structures, consumer demand and availability.
To illustrate this point, a k-means clustering algorithm is used…
Added by Michael Grogan on February 19, 2019 at 3:44am — No Comments
Bayesian Probability is like a reaction to the Mathematical Probability: what about our…Continue
Added by Marcia Ricci Pinheiro on February 16, 2019 at 11:30pm — No Comments
Data science is among the one of the most discussed term in last few years. Digital industry is hugely dependent on exchange of data. But most of us just know about basic terminology about data science like it just about studying data and finding out some important information from them. But it is more than that.
So, what exactly those data…Continue
Added by Samual Alister on February 11, 2019 at 10:08pm — No Comments
New home construction plays a significant role in housing economy, while simultaneously impacting other sectors such as timber, furniture and home appliances. New house sales is also an important indicator of country’s overall economic health and direction. In the last 50 years there has been few significant bumps and turning points in this sector that shaped the trajectory of the overall economy. Here I review the…Continue
Added by Mab Alam on January 25, 2019 at 8:15pm — No Comments
Microsoft ASP .NET is an open source, very famous, and widely used web advancement technology, which gives a programming model, a complete programming framework and different administrations required to develop strong web applications for PC, and also cell phones. ASP .NET is a piece of Microsoft’s Dot (.) Net technology…Continue
Added by Samual Alister on January 9, 2019 at 1:30am — No Comments