Recap of Data Science News for September

Recap of Data Science News for September


News on Data Science – September 2016

Data Science News

Intel's Python distribution turbocharges data science.InfoWorld.com, September 6,2016.

It is a known fact that Python programming language makes a programmer's job easier and not faster,however if the job includes doing data science then Intel is trying to make it faster as well for data scientists. The python distribution by Intel adds new high-speed math libraries developed by Intel to the already existing data science libraries in the Anaconda version.

(Source:http://www.infoworld.com/article/3117239/data-science/intels-python-distribution-turbocharges-data-science.html )

Data Science Training

If you would like more information about Data Science Course, please click the orange "Request Info" button on top of this page.

Bottlenose aims to automate data science tasks.ComputerWorld.com,September 13,2016.

With data scientists in short supply and the challenge to analyze high volumes of data rising in tandem,Bottlenose has launched its Nerve Center Platform that aims to automate data science tasks.The latest version of the Nerve Center Platform has added machine learning capabilites and is capable of discovering hidden patterns, anomalies and trends in streaming data.As some of the data science tasks are repeatable and computational, the new platform will free up 80% of data scientists time in concentrating on the hard stuff.

(Source:http://www.computerworld.com/article/3119774/data-analytics/bottlenose-aims-to-automate-data-science-tasks.html )

DataRobot aims to help create data science executives.CIO.com ,September 14,2016.

Data science automation specialist DataRobot launched a new DataRobot university course “Data Science for Executive”. The course is a half-day offering aimed to help executives who are interested in understanding the benefits of advanced data science and want to learn how to identify opportunities to optimize their business with the application of machine learning.

(Source:http://www.cio.com/article/3119898/big-data/datarobot-aims-to-help-create-data-science-executives.html )

NASA data scientists are helping fight cancer. UPI.com, September 14,2016.

Researchers at National Cancer Institute are making cancer fighting discoveries by employing different data analysis techniques developed by NASA data scientists at NASA’s Jet Propulsion laboratory.Data scientists at NASA are figuring out novel ways to manage and mine the data extracted from sensors and other medical equipments that are attached to their comprehensive satellites, observatories, probes and arrays.

(Source:http://www.upi.com/Science_News/2016/09/14/NASA-data-scientists-are-helping-fight-cancer/7641473884796/)

Deutsche's Dublin ‘Hive' to Boost Data Science, Analytics.Waterstechnology.com,September 15,2016.

To increase the adoption of data science at Deutsche Bank,the company is employing 40 data scientists and experts in analytics and visualization.Deutsche bank will bring into play its new Dublin based data lab for data scientists to leverage various analytics and visualization tools.

(Source:http://www.waterstechnology.com/inside-market-data/news/2470822/deutsches-dublin-hive-to-boost-data-science-analytics )

CLICK HERE to get the Data Scientist Salary Report for 2016 delivered to your inbox!

DataScience, Inc. Unveils the DataScience Cloud.DataVersity.net,Sept 19th, 2016

DataScience, Inc. announced the launch of DataScience Cloud platform that empowers data scientists to investigate different information sources, construct models and algorithms and deploy work without much of tech stack and engineering support. DataSciecen Cloud platform is a competitor to SAS for data science teams that look for a full-fledged platform to support their data science workflows.

(Source:http://www.dataversity.net/datascience-inc-unveils-datascience-cloud/)

Finding and Treating Sufferers of Rare Diseases: Big Data Techniques at Work.InsideBigData.com, September 22, 2016

Big Data and analytics has been used in many sectors and health industry is one of the important sector exploring big data use cases.The use of machine learning and information theoretics has helped in diagnoses of people with rare diseases resulting in appropriate medication in a timely manner. Considering an example of rare disease such as HAE (hereditary angioedema), the anonymized data was first collected and then it was analysed using big data techniques. It was further distilled using information theoretics to grab more relevant information. Machine learning was used to build the model where it could distinguish if the person had the disease or not. The results obtained were accurate. This use of technology can help palliate the pain humans are suffering.

(source:http://insidebigdata.com/2016/09/22/finding-and-treating-sufferers-of-rare-diseases-big-data-techniques-at-work/)

Continuum Analytics Joins Forces with IBM to Bring Open Data Science to the Enterprise. BusinessWire.com,September 27,2016

Continuum Analytics,the creator of Anaconda, a topmost Open Data Science platform powered by Python has announced its collaboration with IBM to improve open source analytics for the company. Through the integration with IBM’s Project DataWorks, Data Scientists and Data engineers can now work on building analytic and machine learning models in Apache Spark environment using Python and R.

(source:http://www.businesswire.com/news/home/20160927006742/en/Continuum-Analytics-Joins-Forces-IBM-Bring-Open) .

PREVIOUS

NEXT

Certified Data Science Training

Relevant Projects

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

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.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

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

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 Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.



Tutorials