[unable to retrieve full-text content]PyTorch Tensor Basics; Top 7 Data Science Use Cases in Finance; The Executive Guide to Data Science and Machine Learning; Data Augmentation: How to use Deep Learning when you have Limited Data
Original Post: KDnuggets™ News 18:n20, May 16: PyTorch Tensor Basics; Data Science in Finance; Executive Guide to Data Science
[unable to retrieve full-text content]This is an introduction to PyTorch’s Tensor class, which is reasonably analogous to Numpy’s ndarray, and which forms the basis for building neural networks in PyTorch.
Original Post: PyTorch Tensor Basics
[unable to retrieve full-text content]A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
Original Post: WTF is a Tensor?!?
[unable to retrieve full-text content]Many deep-learning systems available today are based on tensor algebra, but tensor algebra isn’t tied to deep-learning. It isn’t hard to get started with tensor abuse but can be hard to stop.
Original Post: Deep Learning 101: Demystifying Tensors
A tensor – a multidimensional matrix – is ideal for modeling multiaspect data, such as social interactions, which can be characterized by the means of communication, who is interacting, and the time and location of the interaction, for example. New Rochelle, NY, October 6, 2016 – Tensors and tensor decompositions, a powerful set of new data mining tools that can…
Original Post: Novel Tensor Mining Tool to Enable Automated Modeling