Bringing ML to Agriculture: Transforming a Millennia-old Industry
Guest post by Jeff Melching from The Climate Corporation At The Climate Corporation, we aim to help farmers better understand their operations and...
The curse of Dimensionality
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings Danger of Big Data Big data is the rage. This could be...
Why models fail to deliver value and what you can do about it.
Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into...
Data Drift Detection for Image Classifiers
This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent...
Code
Bringing ML to Agriculture: Transforming a Millennia-old Industry
Guest post by Jeff Melching from The Climate Corporation At The Climate Corporation, we aim to help farmers better understand their operations and...
The curse of Dimensionality
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings Danger of Big Data Big data is the rage. This could be...
Machine Learning
Bringing ML to Agriculture: Transforming a Millennia-old Industry
Guest post by Jeff Melching from The Climate Corporation At The Climate Corporation, we aim to help farmers better understand their operations and...
Deep Learning Illustrated: Building Natural Language Processing Models
Many thanks to Addison-Wesley Professional for providing the permissions to excerpt "Natural Language Processing" from the book, Deep Learning Illustrated by Krohn, Beyleveld,...
Practical Techniques
The curse of Dimensionality
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings Danger of Big Data Big data is the rage. This could be...
Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA
This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider...
Leaders at Work
Why models fail to deliver value and what you can do about it.
Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into...
Data Science at The New York Times
Chris Wiggins, Chief Data Scientist at The New York Times, presented "Data Science at the New York Times" at Rev. Wiggins advocated that...
HyperOpt: Bayesian Hyperparameter Optimization
This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. There is...
Deep Reinforcement Learning
This article provides an excerpt "Deep Reinforcement Learning" from the book, Deep Learning Illustrated by Krohn, Beyleveld, and Bassens. The article includes an...
Towards Predictive Accuracy: Tuning Hyperparameters and Pipelines
This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Fenner....
Seeking Reproducibility within Social Science: Search and Discovery
Julia Lane, NYU Professor, Economist and cofounder of the Coleridge Initiative, presented “Where’s the Data: A New Approach to Social Science Search &...