A.I, Data and Software Engineering

CategoryResearch

Top programming languages to learn 2020-2021

programming languages

“What is the best programming language to learn” is generally not a good question. A language should bind to a purpose, developing environment. Set it aside, popular languages often come with trending jobs. Here is the list of top 7 programming languages to consider in 2020 and 2021. 1.  Python python trademark The programming language continues to be one of the best programming...

Advanced python: comprehension

list comprehension

In this article, we’ll learn about a Python language construct known as comprehensions for creating a new sequence based on existing one but its syntax is more human-readable than lambda functions. These can be applied to lists, sets, and dictionaries.  REVIEW Lambda and map Lambda is an anonymous function (function without name). Let have a quick look at the following example for...

Continue training big models on less powerful devices

It would not be a surprise that you may not have a powerful expensive machine to train a complicate model. You may experience the problem of not enough memory during training in some epoch. This article demonstrates a simple workaround for this. The problem Training deep learning models requires a lot of computing power. For most laptop and desktop today, you can still train the models but it can...

MLP for implicit binary collaborative filtering

multi-layer perception

In this post, we demonstrate Keras implementation of the implicit collaborative filtering. We also introduce some techniques to improve the performance of the current model, including weight initialization, dynamic learning rate, early stopping callback etc. The implicit data For demonstration purposes, we use the dataset generated from negative samples using the technique mentioned in this post...

Fast uniform negative sampling for rating matrix

Petamind A.I

Sometimes, we want to reduce the training time by using a subset of a very large dataset while the negative samples outnumbers the positive ones, e.g. word embedding. Another situation when we deal with implicit data. In this case, we may need to populate new data for negative values. This post demonstrates how to generate data for training using uniform negative sampling. The data Originally...

A.I, Data and Software Engineering

PetaMinds focuses on developing the coolest topics in data science, A.I, and programming, and make them so digestible for everyone to learn and create amazing applications in a short time.

Pin It on Pinterest