- Unsupervised Learning for Predictive Maintenance using Auto-Encoders - Jan 14, 2021.
This article outlines a machine learning approach to detect and diagnose anomalies in the context of machine maintenance, along with a number of introductory concepts, including: Introduction to machine maintenance; What is predictive maintenance?; Approaches for machine diagnosis; Machine diagnosis using machine learning
Autoencoder, Predictive Analytics, Predictive Maintenance, Unsupervised Learning
- Six Ethical Quandaries of Predictive Policing - Nov 6, 2020.
When predictive machine learning models are applied to real-life scenarios, especially those that directly impact humans, such as cancer detection and other medical-related applications, the risks involved with incorrect predictions carry very high stakes. These risks are also prominent in how machine learning is applied in law enforcement, and serious ethical questions must be considered.
Bias, Crime, Ethics, Police, Predictive Analytics
- The Maslow’s hierarchy your data science team needs - Sep 15, 2020.
Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning (PAML), Q3 2020” analyst report. True to our data science roots, we’ve built a Maslow’s hierarchy of data science team needs.
Data Science Team, Domino, Forrester, Machine Learning, Predictive Analytics
- R squared Does Not Measure Predictive Capacity or Statistical Adequacy - Jul 31, 2020.
The fact that R-squared shouldn't be used for deciding if you have an adequate model is counter-intuitive and is rarely explained clearly. This demonstration overviews how R-squared goodness-of-fit works in regression analysis and correlations, while showing why it is not a measure of statistical adequacy, so should not suggest anything about future predictive performance.
Predictive Analytics, Regression, Statistics
- Customer Churn Prediction: A Global Performance Study - May 13, 2020.
This article details an automated machine-learned approach to predict customer churn and its results across selected communication service providers around the globe.
Churn, Customer Analytics, Predictive Analytics
- Proptech and the proper use of technology for house sales prediction - Aug 22, 2019.
Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.
Feature Selection, Predictive Analytics, Real Estate
- Big Data for Insurance - Jul 18, 2019.
The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.
Analytics, Big Data, Insurance, Predictive Analytics
How Data Science Is Used Within the Film Industry - Jul 5, 2019.
As Data Science is becoming pervasive across so many industries, Hollywood is certainly not being left behind. Learn about how Big Data, analytics, and AI are now core drivers of the movies we watch and how we watch them.
Data Science, Industry, Marketing, Movies, Predictive Analytics, Recommender Systems
- Top 8 Data Science Use Cases in Construction - Jul 5, 2019.
This article considers several of the most efficient and productive data science use cases in the construction industry.
Optimization, Predictive Analytics, Product Analytics, Risk Analytics, Use Cases
- 6 Industries Warming up to Predictive Analytics and Forecasting - May 22, 2019.
Here are six sectors that are realizing how beneficial predictive analytics could be, embracing the possibilities of valuable insights extracted from such technology.
Forecasting, Industries, Predictive Analytics
- The Industries That Can Benefit Most From Predictive Analytics - Jul 26, 2018.
Predictive analytics are useful for doing all those things and more, and could increase the overall competitiveness of individual companies or entire sectors.
Industries, Predictive Analytics
- 8 Common Pitfalls That Can Ruin Your Prediction - Mar 21, 2018.
A good prediction can help your work and make it easier. But how can you be sure that your prediction is good? Here are some common pitfalls that you should avoid.
Advice, Data Science, Outliers, Overfitting, Predictive Analytics
Using Machine Learning to Predict and Explain Employee Attrition - Oct 4, 2017.
Employee attrition (churn) is a major cost to an organization. We recently used two new techniques to predict and explain employee turnover: automated ML with H2O and variable importance analysis with LIME.
Churn, H2O, HR, Machine Learning, Predictive Analytics, Workforce Analytics
Understanding Machine Learning Algorithms - Oct 3, 2017.
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.
Algorithms, Ensemble Methods, Gradient Boosting, Machine Learning, Neural Networks, Predictive Analytics, random forests algorithm, SVM
- How Booking.com’s data scientist uses predictive analytics – PAW interview - Sep 6, 2017.
Lukas Vermeer will speak at the upcoming Predictive Analytics World for Business, 11-12 October in London. His Keynote will focus on new perspectives on the Data Science challenges we face today.
Booking.com, PAW, Predictive Analytics, Predictive Analytics World
The Rise of GPU Databases - Aug 17, 2017.
The recent but noticeable shift from CPUs to GPUs is mainly due to the unique benefits they bring to sectors like AdTech, finance, telco, retail, or security/IT . We examine where GPU databases shine.
Big Data, Database, GPU, Predictive Analytics, SQL, SQream
The 4 Types of Data Analytics - Jul 13, 2017.
We focus on the four types of data analytics we encounter in data science: Descriptive, Diagnostic, Predictive and Prescriptive.
Analytics, Descriptive Analytics, Hans Rosling, Predictive Analytics, Prescriptive Analytics
- For data scientists, now is the time to act; Forrester has insights to help you get started - Jun 27, 2017.
IBM, a leader in 2017 Forrester Wave Report for Predictive Analytics and Machine Learning Solutions, offers data scientists a complete toolkit, including predictive analytics and machine learning capabilities and more.
Forrester, IBM, IBM DSX, IBM SPSS Modeler, Predictive Analytics
Making Sense of Machine Learning - Jun 21, 2017.
Broadly speaking, machine learners are computer algorithms designed for pattern recognition, curve fitting, classification and clustering. The word learning in the term stems from the ability to learn from data.
Machine Learning, Predictive Analytics, Supervised Learning, Unsupervised Learning
- Stay ahead of cyberattacks and fraud with predictive analytics - Jun 6, 2017.
Even as cyber criminals and swindlers step up their game, companies can use predictive analytics to stay ahead. Discover the full scope of IBM SPSS predictive analytics capabilities.
Fraud analytics, Fraud Detection, IBM, Insurance, Predictive Analytics
Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions - Apr 14, 2017.
Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.
Data Science Platform, Forrester, Gartner, IBM, Knime, Machine Learning, Mike Gualtieri, Predictive Analytics, RapidMiner, SAS
- Identifying Variables That Might Be Better Predictors - Feb 2, 2017.
This blog serves to expand on the approach that the data science team uses to identify (and quantify) which variables and metrics are better predictors of performance.
Data Science, Feature Selection, Prediction, Predictive Analytics
- Bringing Business Clarity To CRISP-DM - Jan 24, 2017.
Many analytic projects fail to understand the business problem they are trying to solve. Correctly applying decision modeling in the Business Understanding phase of CRISP-DM brings clarity to the business problem.
CRISP-DM, Data Mining, Data Science, Decision Modeling, Methodology, Predictive Analytics
- The Top Predictive Analytics Pitfalls to Avoid - Jan 23, 2017.
Predictive modelling and machine learning are significantly contributing to business, but they can be very sensitive to data and changes in it, which makes it very important to use proper techniques and avoid pitfalls in building data science models.
Bias, Machine Learning, Model Performance, Predictive Analytics, Regularization, Statistics
- Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall - Jan 5, 2017.
Data science and predictive analytics can provide huge value, but they can mislead and backfire if not used with fail-safe measures. The author gives examples of such problems and provides guidelines to avoid them.
Advice, Data Science, Model Performance, Overfitting, Predictive Analytics, Statistical Modeling
Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017 - Dec 13, 2016.
Key themes included the polling failures in 2016 US Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the "masses" of industry.
Pages: 1 2
2017 Predictions, Data Science, John Elder, Kirk D. Borne, Predictive Analytics, Tom Davenport
- How Can Lean Six Sigma Help Machine Learning? - Nov 1, 2016.
The data cleansing phase alone is not sufficient to ensure the accuracy of the machine learning, when noise / bias exists in input data. The lean six sigma variance reduction can improve the accuracy of machine learning results.
Data Cleaning, Machine Learning, Predictive Analytics, Statistics
- A Tutorial on the Expectation Maximization (EM) Algorithm - Aug 25, 2016.
This is a short tutorial on the Expectation Maximization algorithm and how it can be used on estimating parameters for multi-variate data.
Clustering, Data Science, Data Science Education, Predictive Analytics, Statistics
- Big Data Key Terms, Explained - Aug 11, 2016.
Just getting started with Big Data, or looking to iron out the wrinkles in your current understanding? Check out these 20 Big Data-related terms and their concise definitions.
Pages: 1 2
3Vs of Big Data, Apache Spark, Big Data, Business Intelligence, Cloud Computing, Data Warehouse, Explained, Hadoop, Key Terms, Predictive Analytics
- And the Winner is… Stepwise Regression - Aug 1, 2016.
This post evaluates several methods for automating the feature selection process in large-scale linear regression models and show that for marketing applications the winner is Stepwise regression.
Automated Data Science, Feature Selection, Linear Regression, Machine Learning, Predictive Analytics
- Predictive Analytics Introductory Key Terms, Explained - Jul 18, 2016.
Here is a collection of introductory predictive analytics terms and concepts, presented for the newcomer in a straight-forward, no frills definition style.
Book, Eric Siegel, Explained, Key Terms, Predictive Analytics
- New Book: Effective CRM using Predictive Analytics – get 20% discount - Jul 11, 2016.
A comprehensive step-by-step guide to designing, setting up, executing and deploying data mining techniques in marketing. Use code VBM93 for 20% discount.
Book, CRM, Predictive Analytics, Wiley
- Watch the Geek Rap Video – Predictive Analytics Song - Mar 8, 2016.
“PREDICT THIS!” is the first pop song to present analytics content with Gangnam Style humor, and media-blending 80’s throwback visuals. The rapper, formerly known as Dr. Eric Siegel (co-founder of Predictive Analytics World) said, “I only answer to ‘Dr. Data’ now.”
Eric Siegel, Humor, Music, Predictive Analytics
- Can Deep Learning Help you Find the Perfect Girl? – Part 2 - Jul 13, 2015.
Using Deep Learning to find the perfect match, PhD student Harm de Vries describes the process of data collection and analysis. Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.
Deep Learning, Love, OkCupid, Online Dating, Predictive Analytics
- Can deep learning help find the perfect date? - Jul 10, 2015.
When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app - the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the pursuit of the perfect match.
Deep Learning, ICML, Love, Machine Learning, Online Dating, Predictive Analytics
- Love, Sex and Predictive Analytics - Jun 4, 2015.
Here, we are trying to understand the working mechanisms of dating sites, algorithms used and role of predictive analytics while matchmaking. We have also gleaned some interesting analytical insights from them.
Love, Match.com, OkCupid, Online Dating, Predictive Analytics, Recommendation, Tinder
- Interview: Ksenija Draskovic, Verizon on Dissecting the Anatomy of Predictive Analytics Projects - Apr 15, 2015.
We discuss Predictive Analytics use cases at Verizon Wireless, advantages of a unified data view, model selection and common causes of failure.
Customer Intelligence, Interview, Ksenija Draskovic, Optimization, Predictive Analytics, Project Fail, Use Cases, Verizon
- Interview: Bill Moreau, USOC on Evidence-based Medicine to Reduce Sports Injuries - Mar 27, 2015.
We discuss the success of Analytics in predicting sports injuries, recent progress in concussion management and the trends in data-driven evidence-based sports medicine.
Bill Moreau, Data Analytics, Predictive Analytics, Sports, Sports Medicine, Trends, USOC
- 10 Predictive Analytics Influencers You Need to Know - Mar 5, 2015.
A list of Predictive Analytics Influencers based on Twitter activity around “#PredictiveAnalytics” and “Predictive Analytics”: Gregory Piatetsky, Vineet Vashishta, Aki Kakko and more.
About Gregory Piatetsky, About KDnuggets, Big Data Influencers, Dataconomy, Influencers, Mike Gualtieri, Predictive Analytics
- Why Azure ML is the Next Big Thing for Machine Learning? - Nov 17, 2014.
With advanced capabilities, free access, strong support for R, cloud hosting benefits, drag-and-drop development and many more features, Azure ML is ready to take the consumerization of ML to the next level.
Azure ML, Cloud Computing, Hadoop, Machine Learning, Marketplace, Microsoft Azure, Nate Silver, Predictive Analytics, Strata
- Automotive Customer Churn Prediction Results, part 2 - Sep 29, 2014.
Learn how to apply neural networks and self-organizing maps to visualize the macroscopic relationships between clients and the maintenance evolution of cars over the years.
Churn, Gregory Philippatos, Neural Networks, Predictive Analytics, Visualization
- Automotive Customer Churn Prediction using SVM and SOM - Sep 27, 2014.
A Case Study of predicting customer churn using Life Time Cycle approach and advanced machine learning methods including SVM and Self-Organizing Mapping.
Churn, Gregory Philippatos, Predictive Analytics, Product Analytics
- Data Science Last Mile - Jun 6, 2014.
This post discusses the Data Science "Last Mile", the final work to take the discovered insights and deliver them a highly usable format or integrate into a specific application.
Alpine, Data Science, Joel Horwitz, Predictive Analytics
- Interview: Kirk Borne, Data Scientist, GMU on Big Data in Astrophysics and Correlation vs. Causality - May 30, 2014.
We discuss how to build the best data models, significance of correlation and causality in Predictive Analytics, and impact of Big Data on Astrophysics.
Correlation, Interview, Kirk D. Borne, Predictive Analytics, Recommendations
- Did Target Really Predict a Teen’s Pregnancy? The Inside Story - May 7, 2014.
We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics.
Book, Charles Duhigg, Eric Siegel, Predictive Analytics, Pregnancy, Target
