Statistical Machine Learning in Python
A summary of the book “Introduction to Statistical Learning” in jupyter notebooks Whenever someone asks me “How to get started in data science?”, I usually… Read More »Statistical Machine Learning in Python
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Machine Learning
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Cross-validation and hyperparameter tuning
Introduction Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. These… Read More »Cross-validation and hyperparameter tuning
Machine Learning with Applications in One Picture
Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforcement learning. The difference between supervised and… Read More »Machine Learning with Applications in One Picture
A simple guide to AI, Machine Learning and Deep Learning
This article was written on Graymatter. Let start at the beginning; back in the 50’s we dreamt about robots making our tea (AI) and what… Read More »A simple guide to AI, Machine Learning and Deep Learning
The Neural Network Zoo
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all.… Read More »The Neural Network Zoo
Time Series Forecasting: KNN vs. ARIMA
It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data… Read More »Time Series Forecasting: KNN vs. ARIMA
Blockdrop to Accelerate Neural Network training by IBM Research
Scaling AI with Dynamic Inference Paths in Neural Networks Introduction IBM Research, with the help of the University of Texas Austin and the University of… Read More »Blockdrop to Accelerate Neural Network training by IBM Research
The Convoluted World of Supervised vs Unsupervised Learning
Table of contents: What is Deep Learning? Supervised DL: The KISS Pathway That Leads To The Expected Unsupervised Deep Learning: An Exploratory Journey To Figuring… Read More »The Convoluted World of Supervised vs Unsupervised Learning
8 Most-Used Data Science and Machine Learning Services for 2020
In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for… Read More »8 Most-Used Data Science and Machine Learning Services for 2020
Reinforcement Learning Starts to Deliver on Its Promise
Summary: Advances in very low cost compute and Model Based Reinforcement Learning make this modeling technique that much closer to adoption in the practical world.… Read More »Reinforcement Learning Starts to Deliver on Its Promise