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e2b : machine-learning   22

quantumblacklabs/kedro: A Python library for building robust production-ready data and analytics pipelines.
A Python library for building robust production-ready data and analytics pipelines. - quantumblacklabs/kedro
python  analytics  datascience  machine-learning  opensource 
14 days ago by e2b
machinelearningmindset/machine-learning-course: Machine Learning Course with Python
:speech_balloon: Machine Learning Course with Python - machinelearningmindset/machine-learning-course
machinelearning  python  machine-learning  datascience  course  ml  tutorial  ai 
8 weeks ago by e2b
vietnguyen91/QuickDraw: Implementation of Quickdraw - an online game developed by Google
Implementation of Quickdraw - an online game developed by Google - vietnguyen91/QuickDraw
machine-learning  quickdraw 
february 2019 by e2b
How to deliver on Machine Learning projects – Insight Data
Concrete tips for each phase of ML Development, as well as on optimizing the process as a whole.
programming  datascience  machine-learning  advice  machinelearning  bestpractices 
october 2018 by e2b
Deep Learning For Coders—36 hours of lessons for free
fast.ai's practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, pytorch, time series, and much more
ml  machine-learning  courses  course  ai 
october 2018 by e2b
Prodigy - Radically efficient machine teaching
An active learning-powered annotation tool for named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more.
ai  machine-learning  nlp  data  workflow  annotation  tools 
june 2018 by e2b
tomepel/Technical_Book_DL: This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
Technical_Book_DL - This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
machinelearning  books  ebooks  ai  deep-learning  pdf  free  machine-learning  deeplearning 
september 2017 by e2b
A Practical Guide to Tree Based Learning Algorithms | Sadanand's Notes
Tree based learning algorithms are quite common in data science competitions.
These algorithms empower predictive models with high accuracy, stability and ease of
interpretation. Unlike linear models, they map non-linear relationships
quite well. Common examples of tree based models are:
decision trees,
random forest, and
boosted trees.

machine-learning  datascience  algorithms  decision-tree 
july 2017 by e2b
OpenAI
OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence.
ai  blog  design  machine-learning  inspiration  opensource  research 
july 2017 by e2b

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