How To Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
Introduction
Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any…
Interview - The Importance of Machine Learning for the Data Driven Business
To become more data-driven, organizations must mature their analytics and automate more of their decision making processes…
Deep Learning and Human Intelligence - Part 1 of 2
Many people are under the impression that the new wave of data science, machine learning and/or digitalization is new, that…
Bringing intelligence to where data lives: Python & R embedded in T-SQL
Introduction
Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in…
How To Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
/0 Comments/in Data Mining, Data Science, Data Science Hack, Data Warehousing, Database, Main Category, Python, Python, R Statistics, SQL, Tools, Tutorial /by Kyle WellerIntroduction Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around. Instead of transferring large and sensitive data over the network or losing accuracy on ML training with sample csv files, you can […]
Interview – The Importance of Machine Learning for the Data Driven Business
/0 Comments/in Artificial Intelligence, Big Data, Business Analytics, Data Mining, Data Science, Deep Learning, Insights, Interviews, Machine Learning, Main Category, Predictive Analytics /by Benjamin AunkoferTo become more data-driven, organizations must mature their analytics and automate more of their decision making processes for innovation and differentiation. Data science seems like the right approach, yet is a new and fast moving field that seems to have as many dead ends as it has high ways to value. Cloudera Fast Forward Labs, […]
Deep Learning and Human Intelligence – Part 1 of 2
/0 Comments/in Artificial Intelligence, Data Science, Deep Learning, Gerneral, Machine Learning, Predictive Analytics /by Valentin CurtefMany people are under the impression that the new wave of data science, machine learning and/or digitalization is new, that it did not exist before. But its history is as long as the history of humanity and/or science itself. The scientific discovery could hardly take place without the necessary data. Even the process of discovering […]
Bringing intelligence to where data lives: Python & R embedded in T-SQL
/0 Comments/in Business Analytics, Business Intelligence, Data Engineering, Data Science, Data Science Hack, Data Science News, Main Category, Python, R Statistics, SQL, Tool Introduction, Tutorial /by Kyle WellerIntroduction Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in SQL Server eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy […]
Interview – Python as productive data science environment
/0 Comments/in Insights, Interviews /by Benjamin AunkoferMiroslav Šedivý is a Senior Software Architect at UBIMET GmbH, using Python to make the sun shine and the wind blow. He is an enthusiast of both human and programming languages and found Python as his language of choice to setup very productive environments. Mr. Šedivý was born in Czechoslovakia, studied in France and is […]
OLAP Technology in Business Intelligence
/0 Comments/in Business Analytics, Business Intelligence, Main Category /by Lisa SagalData in Business Intelligence Business processes traditionally comprise three stages of data management: collecting, analyzing, and reporting. First, data should be gathered from all the sources through ETL tools (Extract, Transform, Load). After this, there are often issues occurring connected with data consistency hence the data should be cleaned and structured using the function of […]
The 6 most in-demand AI jobs and how to get them
/0 Comments/in Carrier, Data Science News, Education / Certification, Gerneral /by Amy JohnsonA press release issued in December 2017 by Gartner, Inc explicitly states, 2020 will be a pivotal year in Artificial Intelligence-related employment dynamics. It states AI will become “a positive job motivator”. However, the Gartner report also sounds some alarm bells. “The number of jobs affected by AI will vary by industry-through 2019, healthcare, the […]
New Sponsor: Snowflake
/0 Comments/in Data Science News, Sponsoring Partner Posts /by Editorial StaffDear readers, we have good news again: Now we welcome snowflake as our new Data Science Blog Sponsor! So we are booked out for the moment regarding sponsoring. Snowflake provides data warehousing for the cloud and has an unique data, access and feature model, the snowflake. Now we are looking forward to editorial contributions by […]
Applying Data Science Techniques in Python to Evaluate Ionospheric Perturbations from Earthquakes
/0 Comments/in Data Science, Data Science Hack, Data Science News, Insights, Main Category, Mathematics, Use Cases, Visualization /by Derry HoldingMulti-GNSS (Galileo, GPS, and GLONASS) Vertical Total Electron Content Estimates: Applying Data Science techniques in Python to Evaluate Ionospheric Perturbations from Earthquakes 1 Introduction Today, Global Navigation Satellite System (GNSS) observations are routinely used to study the physical processes that occur within the Earth’s upper atmosphere. Due to the experienced satellite signal propagation effects the […]
New Sponsor: Cloudera
/0 Comments/in Data Science News, Sponsoring Partner Posts /by Editorial StaffDear readers, we have good news: We welcome Cloudera as our new Data Science Blog Sponsor! Cloudera is one of the most famous platform and solution provider for big data analytics and machine learning. This also means editorial contributions by Cloudera for at least one year. At Cloudera, we believe that data can make what is impossible […]