frameworks for machine learning - Learn Data Science with Travis

15 Undiscovered & Open Source Machine Learning Frameworks You Need to Know in 2020.

Analytics Vidhya

The wide range of open-source machine learning frameworks lets data scientists & ML engineers build, implement and maintain machine learning systems.

Top and Free Machine Learning Open-Source Frameworks

Analytics Vidhya

Top and Free Machine Learning Open-Source Frameworks. Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of….

Starter Framework for Machine Learning Projects

Analytics Vidhya

In this article I’ll demonstrate some sort of a framework for working on machine learning projects. As you may know, machine learning in general is about extracting knowledge from data therefore…

➿ Does Machine Learning Requires Interoperability?

TheSequence

📝 Editorial Machine learning frameworks are proliferating everywhere. From traditional machine learning frameworks like Scikit-Learn to popular deep learning stacks such as TensorFlow or PyTorch, the...

Unveiling the Powerhouses: Exploring the World of Popular Machine Learning Frameworks

Python in Plain English

In the dynamic realm of artificial intelligence, the ability to effectively utilize modern machine learning frameworks has become an indispensable skill for AI engineers. With countless options…

Framework for Better Deep Learning

Machine Learning Mastery

Last Updated on August 6, 2019 Modern deep learning libraries such as Keras allow you to define and start fitting a wide range of neural network models in minutes with just a few lines of code. Nevert...

List of 11 Best Frameworks used by Data Scientists

DevOpsCube

The practice of data science requires the use of machine learning frameworks extensively. Now, this could be for many reasons but largely to automate the processes that drive their business forward. D...

5 Frameworks for Reinforcement Learning on Python

Towards Data Science

There are lots of standard libraries for supervised and unsupervised machine learning like Scikit-learn, XGBoost or even Tensorflow, that can get you started in no time and you can find log nads of…

Machine Learning: Popular Libraries and Frameworks (Part 1)

Python in Plain English

The field of Machine Learning amid other popular fields in computer science is quite broad which hinges on the application of many complex algorithms based on mathematical and statistical equations…

The statistical foundations of machine learning

Towards Data Science

Developing machine learning algorithms is easier than ever. There are several high-level libraries like TensorFlow, PyTorch or scikit-learn to build upon, and thanks to the amazing effort of many…

Scikit-learn, TensorFlow, PyTorch, Keras… but what about Libra?

Towards Data Science

Welcome all! In the first episode of this series, I investigated the four most known machine learning frameworks and discussed which of these you should learn depending on your needs and goals. Of…

5 Machine Learning Frameworks for App Developers

Becoming Human: Artificial Intelligence Magazine

Machine Learning (ML) has turned out to be one of the profound applications of Artificial Intelligence (AI). From Virtual Assistants to traffic predictions, ML is refining the way some of the…