Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science Blog

FEBRUARY 23, 2023

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Ocean Protocol

SEPTEMBER 29, 2023

This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept. AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

DataRobot Blog

JUNE 11, 2018

IBM Watson Studio has come a long way since I first tested IBM Data Science Experience in November 2016. The new Watson Studio delivers a more collaborative, enterprise quality data. by Jen Underwood. Read More.

Data Science 40

Data Science Predictive Analytics Analytics Analytics 40

DataRobot Blog

SEPTEMBER 22, 2022

Leading French organizations are recognizing the power of AI to accelerate the impact of data science. Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. . Not in Paris?

Big Data 52

Big Data Big Data Data Science AI 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5

Database 101

Database SQL Data Warehouse Machine Learning 101

Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384. BECOME a WRITER at MLearning.ai

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52