machine learning (11)

The Python library pandas on the way to v1.0.0: first Release Candidate published

The popular Data Science library pandas has just celebrated her twelfth birthday, and now Version 1.0.0 is in the starting blocks. The first Release Candidate gives insight into a...

15 January 2020

PHP, ML & programming languages-Rankings – The Top topics of the week

TIOBE and PYPL in comparison with Stack Overflow, PHP 7.3 is the most widely used Version of PHP and Laravel provides more elegance in programming – we have summarized your Highli...

16 December 2019

Node.js in Jupyter: tslab presented

Jupyter has in recent years become increasingly well-known. Especially in the area of Machine learning with Python is often worked with Jupyter Notebooks. The platform, however, i...

19 November 2019

Machine Learning for .NET developer: ML.NET 1.4 is released

to evaluate The mood in the stock market or the price forecasts for customers? With ML.NET 1.4 can .NET-Developers and developers using the model Generator in Visual Studio automat...

15 November 2019

BASTA! Spring 2020 – taster-preview to the spring program

The spring version of BASTA!-Conference .NET, Windows, and Open Innovation will take place from 24. – 28. February 2020 in Frankfurt. Find out more about our program, preview, clea...

14 November 2019

Apache SINGA: New Top-Level project for a distributed and scalable Machine Learning

Apache SINGA, an Open-Source library for distributed and scalable Machine Learning applications, has left the incubator of the Apache Software Foundation (ASF). The new Top-Level p...

05 November 2019

Google search receives Update: Better search results, thanks to BERT?

The Google search is now to lead in ten percent of cases to fit their results with the help of BERT, Google's Pre-Training method for NLP. The Update relates, however, to date only...

28 October 2019

Tensor flow 1.15: the Last Feature Release in the 1.x Branch appeared

tensor flow 1.15 is there. The Minor Version brings new Features, including compatibility with the current Major Version of the tensor flow 2.0. Some of the new features in v1.15...

18 October 2019

Reinforcement Learning: an introduction and application in the industrial environment

How Reinforcement Learning works? According to Dr. Christian Hidber, the Algorithms learn intuitively and by experimentation, so as a child a new game to learn. He demonstrated at...

15 October 2019

PyTorch 1.3 released: Mobile Deployment, and named tensors

PyTorch 1.3 has been released. In the new Release of the Machine Learning Library, there are some new Features. They concern among other things the Naming of tensors, as well as t...

11 October 2019

Python library for Data Science: NumPy 1.17.0 released

NumPy 1.17.0 is there. In the latest Version of the popular open source Python library for scientific calculations have been revised in some Features, including numpy.pad and the...

30 July 2019