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All Blog Posts Tagged 'science' (254)

The problem with Cambridge Analytica is not (just) the privacy breach

The problem with Cambridge Analytica is not the privacy breach

TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can counter them by following pages, people and content you would normally not follow on FB.…
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Added by Jesus Ramos on August 19, 2019 at 10:19am — No Comments

Remarkable Applications of Data Science

We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect.

Over the past decade, Data Science has stretched out into almost every industry. Form industries like Automobiles and Healthcare to Finance as well as the Gaming Sector. It plays a significant part in the government sectors.  So here are some instances of the most impactful…

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Added by Sudhanshu Ahuja on August 19, 2019 at 3:00am — No Comments

Data Science Applications In Various Industries

The amount of data generated today is astonishing. Research published by Seagate reports that by 2025, around 175 Zettabytes of data will be generated on an annual base. The colossal sets of collected, analyzed, monitored, and stored data is only…

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Added by Sandra Durcevic on August 16, 2019 at 12:30am — No Comments

Why is Data Scientist the most promising job of the future?

Data Science is now becoming a highly famous and prestigious field and has also been termed as the "Sexiest job" of the 21st century said in the Harvard Business Review. 

The number of data scientist jobs has grown manifolds in the past few years. According to data, the data science jobs crossed over 2 million and is continuing to increase rapidly in…

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Added by Rahul Dharia on August 12, 2019 at 9:02pm — No Comments

Why Every Data Science Aspirant Should Learn Data Visualization

[Image Source - Freepik]

Ever wondered how most of the fastest-growing jobs in the tech sector today were not even existing a few years ago. It is surveyed that the employees are worried about the skill gap, which is restricting them from shifting to companies which offer better skill development initiative.…

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Added by Dave Jarvis on July 31, 2019 at 8:56pm — No Comments

How Data Science can transform the face, body & functioning of Logistics

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…

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Added by Bhushan Patil on July 21, 2019 at 8:37pm — No Comments

How do I prepare for Data Scientist interviews?

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!…

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Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments

Deploying Python application using Docker and AWS

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…

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Added by Michael Grogan on July 5, 2019 at 8:30am — No Comments

Top 8 Data Science Use Cases in Construction

Introduction

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…

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Added by Igor Bobriakov on July 5, 2019 at 5:00am — No Comments

Top 10 Data Science Use Cases in Energy and Utilities

The energy sector is under constant development, and more of significant inventions and innovations are yet to come. The energy use has always been involved in other industries like agriculture, manufacturing, transportation, and many others. Thus these industries tend to enlarge…

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Added by Igor Bobriakov on July 4, 2019 at 10:00pm — 1 Comment

Data Quality Case Studies: How We Saved Clients Real Money Thanks to Data Validation

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…

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Added by Michał Frącek on July 4, 2019 at 4:21am — No Comments

Multilevel Modelling of U.S. Home Loan Data

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…

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Added by Michael Grogan on July 3, 2019 at 3:01am — No Comments

How Long Does It Take to Learn Python for Data Science?

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…

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Added by Yoey Thamas on July 2, 2019 at 12:29am — No Comments

Recognizing Animals in Photos: Building an AI model for Object Recognition

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…

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Added by Michał Frącek on June 25, 2019 at 1:13am — No Comments

Why Every Hadoop Professional Needs Data Science Skills?

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…

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Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments

Most Popular Content on DSC

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…

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Added by Vincent Granville on April 3, 2019 at 5:30pm — No Comments

Long-range Correlations in Time Series: Modeling, Testing, Case Study

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…

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Added by Vincent Granville on April 1, 2019 at 9:00am — 1 Comment

Top 8 Data Science Use Cases in Gaming

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…

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Added by Igor Bobriakov on March 31, 2019 at 10:00pm — No Comments

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