How to build your first Machine Learning model on iPhone (Apple's CoreML)? CoreML is a relatively new library and hence has its own share of pros and cons. A very useful feature provided here is it runs on the device locally thus giving more speed and providing data privacy. At the same time, it can't be thought of as a full-fledged data scientist friendly library yet. We will have to wait and see how does it evolve in the coming releases.

Python Overtakes R for Data Science and Machine Learning This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications. Python Overtakes R for Data Science and Machine Learning This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications.

When AI (Artificial Intelligence) Goes Wrong ... The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy. When AI (Artificial Intelligence) Goes Wrong ... The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy.

Six Great Articles About Quantum Computing and HPC This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. Six Great Articles About Quantum Computing and HPC This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more.