When “X” Will Happen (Predictive Analytics):Predictive Analytics is a branch of advanced analytics used to forecast future outcomes or trends based on historical data and statistical algorithms. It involves the use of various statistical and machine-learning techniques to identify patterns, relation...
Predictive Analytics for Human Resources authored by Jac Fitz-Enz and John R. Mattox, 鈪 aims to highlight the importance of data-driven decision-making process in the field of human resource development (HRD) by explicitly citing examples concerning the skills associated with the man power of...
Logi Predict takes the complexity out of embedding predictive analytics. Instead of hiring a data scientist with R and Python expertise, companies can easily embed predictive insights that meet their application’s specific requirements. Logi Predict aims to solve four predictive analytics challenges: Cr...
The Qlik Analytics Platform aims to deliver a comprehensive platform for managing data science tasks, including predictive analytics. The platform offers a high level of scalability and flexibility through built-in capabilities as well as add-ons for geo-analytics and external data markets and data s...
Similarly, a partnership that began in Januaryaimsto optimize value-based care delivery for kidney disease patients. Through the new collaboration, Evergreen Nephrology will use an Innovaccer solution suite to enhance kidney care through analytics, care management, physician and patient...
Here are some pertinent case-study results, as reported atPredictive Analytics World(click for more information): 2. Uplift Modeling for Direct Marketing Having just lauded its value, I'm now going to turn around and tell you that, in general, standard response modeling actually aims to maximiz...
This is as much of an art as a science, but predictive analytics is a tool that has removed a lot of guessing. It can predict more specific market trends related to inventory needs. It aims to answer questions like "What will this customer likely buy next?" or "How much stock do we...
Personalized medicine aims to tailor treatments based on a patient’s unique genetic makeup and molecular profile. Predictive analytics can be utilized to identify potential therapeutic targets and recommend the most effective treatment options. By analyzing genomic data, biomarkers, and patient-specific ...
The Machine Learning Canvas aims to do for Machine Learning what the Business Model Canvas does for Business Models. Image:Louis Dorard. TheMachine Learning Canvas(MLC) is a tool introduced by Louis Dorard frompapis.ioto ensure that teams working on ML projects have a clear shared understanding...
This study aims to build a Machine Learning model by using CRISP-DM framework to predict suspected Hypertensive Heart Disease, and to explore the relationship of Hypertensive Heart Disease and blood cholesterol levels. Data were collected between January 2021 to June 2023 from a private hospital in...