I recently watched a Google Tech Talk with Eric Ladizinsky who visited the Quantum AI Lab at Google to talk about his D-Wave quantum computer. The talk is called Evolving Scalable Quantum Computers and is great, I highly recommend it. I’ve had quantum computing on my mind and another tech talk went by titled Quantum […]
In deep learning it is common to see a lot of discussion around tensors as the cornerstone data structure. Tensor even appears in name of Google’s flagship machine learning library: “TensorFlow“. Tensors are a type of data structure used in linear algebra, and like vectors and matrices, you can calculate arithmetic operations with tensors. In […]
Basics of Linear Algebra for Machine Learning Discover the Mathematical Language of Data in Python Why Linear Algebra? Linear algebra is a sub-field of mathematics concerned with vectors, matrices, and operations on these data structures. It is absolutely key to machine learning. As a machine learning practitioner, you must have an understanding of linear algebra. […]
The Laplace operator was first applied to the study of celestial mechanics, or the motion of objects in outer space, by Pierre-Simon de Laplace, and as such has been named after him. The Laplace operator has since been used to describe many different phenomena, from electric potentials, to the diffusion equation for heat and fluid […]
There are many books that provide an introduction to the field of linear algebra. Most are textbooks targeted at undergraduate students and are full of theoretical digressions that are barely relevant and mostly distracting to a beginner or practitioner to the field. In this post, you will discover the book “No bullshit guide to linear […]
