Recap of Data Science News for August

Recap of Data Science News for August


News on Data Science– August 2016

Data Science News for August

TaxBrain is responsible for the Federal Govt. adopting open Data Science Models. August 10, 2016. Datanami.com

TaxBrain was launched in April 2016, by Open Source Policy Center (OPSC), a Washington DC based think tank. There is a huge need for remodelling the statistical models used by decision makers in the white house. Most of these models were SAS band Fortran based, which was proprietary. Now OPSC is coming up with more open models which will be primarily written in Python.

 (Source: https://www.datanami.com/2016/08/10/taxbrain-brings-open-data-science-federal-models/)

Data Science News

The Data Science war is on: Kaggle vs. Watson. August 15, 2016. Forbes.com

There is a shortage of data science talent. Companies are looking high and low for qualified data scientists but they are falling way short of the demand. This problem is being addressed somewhat by Kaggle which allows you to outsource the work to different data scientists across the work. IBM believes in a whole other level of data science. They come on strong with Watson - a machine learning algorithmic computer which allows you to become your own data scientist.

 (Source: http://www.forbes.com/sites/bernardmarr/2016/08/15/are-we-seeing-a-data-science-war-kaggle-v-watson/3/#643291e92110)

Data Science Education is incomplete without curiosity for technology and business sense. TechTarget.com. August 22, 2016.

A data science education is simply learning how to do data analysis with programming languages. But this is not what data science as a whole is. Data Science as a whole means encompassing all the skills that a mere data analyst would not have. It means looking at data and being curious enough to keep sifting through it until you can solve the business queries. This is one of the reasons why data scientists are in huge demand and universities are fast churning out data science programs to deal with this demand.

(Source: http://searchcloudapplications.techtarget.com/news/450302924/Combine-data-science-education-with-curiosity-and-business-savvy)

How data science fights modern insider threats? August 25, 2016. TechCrunch

With companies using more online services and increasingly generating data than before, it is difficult to find insider threats. As insider threats become increasingly difficult to detect and prevent , data science is extensively  proving its effectiveness in the realm of cybersecurity. Data Science helps find the needle in the haystack and eases the process of detecting insider threats before they cause damage.

 (Source: https://techcrunch.com/2016/08/25/how-data-science-fights-modern-insider-threats/ )

Why physicists are a good fit for data science jobs? August 31, 2016. SearchBusinessAnalytics

Data Scientists are in great demand and in short supply, academic researchers and physicists from hard science disciplines are finding good opportunities on data science teams in leading various big data analytics projects. As the demand for data scientists is rising, the supply is not keeping pace due to the scarcity of data scientist with computer science and business disciplines. Thus, physicist and researchers from hard sciences are a good fit for the data science.

(Source: http://searchbusinessanalytics.techtarget.com/feature/Why-physicists-are-a-good-fit-for-data-science-jobs )

PREVIOUS

NEXT

Data Science Training

Relevant Projects

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.



Tutorials