This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained. The purpose of this repository was not to implement machine learning algorithms using 3rd party libraries or Octave/MatLab "one-liners" but rather to pr...
machine-learning machine-learning-mathematics introduction-to-machine-learning introduction-to-math-behind-ml Updated Jun 4, 2018 Jupyter Notebook wlodpawlowski / machine-learning-basic-datasets Star 0 Code Issues Pull requests Repository which consists different code snippets and projects for my pe...
The inspiration behind ConvNets Types of data used in ConvNets Convolutions and pooling Two-dimensional convolutions One-dimensional convolutions 1× 1 convolutions Three-dimensional convolutions Separable convolutions Transposed convolutions Pooling Global average pooling Convolution and poo...
Social cognitive career theory (SCCT) is a theory of motivation concerned with explaining the socio-cognitive processes behind career-related intentions and choices14. SCCT highlights self-efficacy and interest as key motivational attitudes influencing career-related behaviour14,15. In mathematics, self-...
This finding also means that we should further verify relevant theories and explore the boundaries of the theoretical applications and the impacts behind them. Of course, this article only discusses the direct impact of gender attitudes toward mathematics learning held by students, families, schools, ...
● Recommended required reading books for Ph.D. in Mathematics:1. Linear Algebra: Linear algebra is an important basic field of mathematics. Although most domestic college students have studied this course, not every teacher can fully impart its essence. In-depth study of linear algebra is very ...
The inspiration behind ConvNets Types of data used in ConvNets Convolutions and pooling Two-dimensional convolutions One-dimensional convolutions 1× 1 convolutions Three-dimensional convolutions Separable convolutions Transposed convolutions Pooling Global average pooling Convolution and pooling size Working...
While materials synthesis methods have seen advancements in speed and efficiency, characterization techniques have lagged behind. Here, authors design automated computer vision algorithms to accurately characterize hundreds of materials in minutes. Alexander E. Siemenn , Eunice Aissi & Tonio Buonassisi Ar...
This much mathematics will enable the understanding behind the core ideas of ML and probabilistic algorithms, You should pause now and start analysing certain Packages from Scratch in Python : 1. K-NN is great starting point learn it , and code it from scratch. 2. Logistic Regression with Gra...
the training data to estimate a value for the lambda transformation parameter. This lambda value is then used to transform the test data, so that it has the same transformation applied as the test data, even if this is not optimal (this being the whole point behind the subsampling approach!