# Statistical Modeling (14)

**Fast and Intuitive Statistical Modeling with Pomegranate**- Dec 21, 2020.

Pomegranate is a delicious fruit. It can also be a super useful Python library for statistical analysis. We will show how in this article.**KDnuggets™ News 20:n41, Oct 28: Difference Between Junior and Senior Data Scientists; Ain’t No Such a Thing as a Citizen Data Scientist**- Oct 28, 2020.

The unspoken difference between junior and senior data scientists; Ain't No Such a Thing as a Citizen Data Scientist; How to become a Data Scientist: a step-by-step guide; Good-bye Big Data. Hello, Massive Data!; DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models**Comparing Machine Learning Models: Statistical vs. Practical Significance**- Jan 18, 2019.

Is model A or B more accurate? Hmm… In this blog post, I’d love to share my recent findings on model comparison.**KDnuggets™ News 18:n16, Apr 18: Key Algorithms and Statistical Models; Don’t learn Machine Learning in 24 hours; Data Scientist among the best US Jobs in 2018**- Apr 18, 2018.

Also: Top 10 Technology Trends of 2018; 12 Useful Things to Know About Machine Learning; Robust Word2Vec Models with Gensim & Applying Word2Vec Features for Machine Learning Tasks; Understanding What is Behind Sentiment Analysis - Part 1; Getting Started with PyTorch**Statistical Modeling: A Primer**- Mar 21, 2017.

It's critical to understand that statistical models are simplified representations of reality and they're all wrong but some of them are useful. So why do we use statistical models?**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.**Improve your processes – with statistical models**- May 5, 2016.

Learn how to solve more scientific, engineering and business problems correctly and faster by extracting powerful insights from existing data using proven, simple statistical modeling methods. Watch the webcast.**Improve your processes with statistical models.**- Apr 4, 2016.

Learn how to solve more scientific, engineering and business problems correctly and faster by extracting powerful insights from existing data using proven, simple statistical modeling methods. Watch the webcast.**Technically Speaking: Watch the webcast series**- Mar 8, 2016.

These real-word case studies deliver key insights on overcoming the challenges in data collection, preparation, and analysis. Find the webcast that fits your current challenge.**Peering into the Black Box and Explainability**- Feb 2, 2016.

In many domains, where data science can be a game changer, and the biggest hurdle is not collecting data or building the models, it is Understanding what they mean.**TXU Energy: Senior Statistical Modeling Analyst**- Dec 16, 2014.

Analyzing and developing improvements to business processes, identifying and facilitating the creation of appropriate reporting and definition around each function, managing and integrating processes relating to operations, and delivering an improved customer experience.**Develve statistical software, free for non-commercial use**- Oct 10, 2014.

Check out Develve 2.0, a six-sigma tool, the new version featuring new utilities for measure system analysis and the design of sophisticated experiments.**Online Data Science Certificates: Analytics and Programming for Data Science**- Mar 1, 2014.

Statistics.com, a leading provider of online education in statistics and analytics announces two new online certificates for Data Science - "Analytics for Data Science" and "Programming for Data Science".**Building Better Models – Case studies in Predictive Analysis – JMP Webcasts**- Jan 27, 2014.

The five-part on-demand series shows how to build better and more useful models with modern predictive modeling techniques such as regression, neural networks and decision trees.