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
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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.
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
How to approach the study of algorithms?
I have been reading a book recently about algorithms in the wider sense (40 algorithms every programmer should know -book and github link below)… Read More »How to approach the study of algorithms?
Quantum Neural Net, an Oxymoron
Venn diagram showing overlap between “quantum” and “neural network” The term “quantum neural networks” is being used with increasing frequency by the quantum computing community.… Read More »Quantum Neural Net, an Oxymoron
My First Neural Network
This article was written by Bharat Girdhar. I was always intrigued by the concept of computers taking a decision on behalf of humans. Though the… Read More »My First Neural Network
Building a Deep-Learning-Based Movie Recommender System
With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to… Read More »Building a Deep-Learning-Based Movie Recommender System