Mimesis is a fast and easy to use library for Python, which helps generate mock data for a variety of purposes. This data can be particularly useful during software development and testing. For example, it could be used to populate a testing database for a web application (Django, Flask, etc.
read full details at http://ift.tt/2wAV7pb
Part 1: Why Machine Learning Matters. The big picture of artificial intelligence and machine learning — past, present, and future. Part 2.1: Supervised Learning. Learning with an answer key. Introducing linear regression, loss functions, overfitting, and gradient descent.
read full details at http://ift.tt/2uSnfV7
$ sqlcheck -h Command line options : sqlcheck -f –file_name : file name -r –risk_level : set of anti-patterns to check : 1 (all anti-patterns, default) : 2 (only medium and high risk anti-patterns)
read full details at http://ift.tt/2vXLxN1
The images to be classified as cat or dog are taken from this kaggle dataset.
read full details at http://ift.tt/2uTvag2
Apache Superset is a data exploration and visualization web application. Superset speaks many SQL dialects through SQLAlchemy, a Python ORM that is compatible with most common databases.
read full details at http://ift.tt/2t0Jkvt
Deep learning is a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain. TensorFlow is the second machine learning framework that Google created and used to design, build, and train deep learning models.
read full details at http://ift.tt/2tRCMCj
nider is an approach to make generation of text based images simple yet flexible. Creating of an image is as simple as describing units you want to be rendered to the image and choosing a method that will be used for drawing.
read full details at http://ift.tt/2vYmnyh