How to Use XGBoost for Time Series Forecasting
https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
@ai_machinelearning_big_data
https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
@ai_machinelearning_big_data
This media is not supported in your browser
VIEW IN TELEGRAM
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python, SQL, and Vega.
https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
Project page: https://polynote.org/
Github: https://github.com/polynote/polynote
@ai_machinelearning_big_data
Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python, SQL, and Vega.
https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
Project page: https://polynote.org/
Github: https://github.com/polynote/polynote
@ai_machinelearning_big_data
Multilingual Speech Synthesis
Synthesized samples, training and evaluation data, source code, and parameters for Multilingual Speech Synthesis.
Github: https://github.com/Tomiinek/Multilingual_Text_to_Speech
Demo Code: https://colab.research.google.com/github/Tomiinek/Multilingual_Text_to_Speech/blob/master/notebooks/code_switching_demo.ipynb
Website with samples: https://tomiinek.github.io/multilingual_speech_samples/
Paper: https://arxiv.org/abs/2008.00768
@ai_machinelearning_big_data
Synthesized samples, training and evaluation data, source code, and parameters for Multilingual Speech Synthesis.
Github: https://github.com/Tomiinek/Multilingual_Text_to_Speech
Demo Code: https://colab.research.google.com/github/Tomiinek/Multilingual_Text_to_Speech/blob/master/notebooks/code_switching_demo.ipynb
Website with samples: https://tomiinek.github.io/multilingual_speech_samples/
Paper: https://arxiv.org/abs/2008.00768
@ai_machinelearning_big_data
Metrics to Use to Evaluate Deep Learning Object Detectors.
https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
A Survey on Performance Metrics for Object-Detection Algorithms: https://www.researchgate.net/publication/343194514_A_Survey_on_Performance_Metrics_for_Object-Detection_Algorithms
Github: https://github.com/ultralytics/yolov3/issues/898
@ai_machinelearning_big_data
https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
A Survey on Performance Metrics for Object-Detection Algorithms: https://www.researchgate.net/publication/343194514_A_Survey_on_Performance_Metrics_for_Object-Detection_Algorithms
Github: https://github.com/ultralytics/yolov3/issues/898
@ai_machinelearning_big_data
DeText: A Deep Neural Text Understanding Framework
DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
@ai_machinelearning_big_data
DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
@ai_machinelearning_big_data
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Github: https://github.com/facebookresearch/QA-Overlap
Paper: https://arxiv.org/abs/2008.02637
@ai_machinelearning_big_data
Github: https://github.com/facebookresearch/QA-Overlap
Paper: https://arxiv.org/abs/2008.02637
@ai_machinelearning_big_data
GitHub
GitHub - facebookresearch/QA-Overlap: Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question…
Code to support the paper "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets" - GitHub - facebookresearch/QA-Overlap: Code to support the paper &am...
Layerwise learning for Quantum Neural Networks
Training strategy that addresses vanishing gradients in quantum neural networks (QNNs).
https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html
Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk
Paper: https://arxiv.org/abs/2003.02989
Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw
@ai_machinelearning_big_data
Training strategy that addresses vanishing gradients in quantum neural networks (QNNs).
https://blog.tensorflow.org/2020/08/layerwise-learning-for-quantum-neural-networks.html
Quirk: a drag-and-drop quantum circuit simulator with nice visualizations: https://algassert.com/quirk
Paper: https://arxiv.org/abs/2003.02989
Quantum Intuition:https://www.youtube.com/channel/UC-2knDbf4kzT3uzWo7iTJyw
@ai_machinelearning_big_data
👍1
LSTM in Machine Learning
https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/
@ai_machinelearning_big_data
https://thecleverprogrammer.com/2020/08/11/lstm-in-machine-learning/
@ai_machinelearning_big_data
AmanXai by Aman Kharwal
LSTM in Machine Learning | Aman Kharwal
The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally
5 Machine Learning Regression Algorithms You Need to Know
https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d
habr ru: https://habr.com/ru/company/mailru/blog/513842/
@ai_machinelearning_big_data
https://towardsdatascience.com/5-regression-algorithms-you-need-to-know-theory-implementation-37993382122d
habr ru: https://habr.com/ru/company/mailru/blog/513842/
@ai_machinelearning_big_data
Medium
5 Machine Learning Regression Algorithms You Need to Know
Yes, Linear Regression isn’t the only one
This media is not supported in your browser
VIEW IN TELEGRAM
TensorFlow Model Optimization Toolkit — Weight Clustering API
https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
@ai_machinelearning_big_data
https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
@ai_machinelearning_big_data
Plot a Decision Surface for Machine Learning Algorithms in Python
https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
@ai_machinelearning_big_data
https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
@ai_machinelearning_big_data
MachineLearningMastery.com
Plot a Decision Surface for Machine Learning Algorithms in Python - MachineLearningMastery.com
Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Github: https://github.com/ZHKKKe/PixelSSL
Paper: https://arxiv.org/abs/2008.05258
@ai_machinelearning_big_data
Github: https://github.com/ZHKKKe/PixelSSL
Paper: https://arxiv.org/abs/2008.05258
@ai_machinelearning_big_data
🔥 Language Interpretability Tool
Open-source platform for visualization and understanding of NLP models.
Github: https://github.com/PAIR-code/lit
Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md
Paper: https://arxiv.org/abs/2008.05122
Video: https://www.youtube.com/watch?v=j0OfBWFUqIE
@ai_machinelearning_big_data
Open-source platform for visualization and understanding of NLP models.
Github: https://github.com/PAIR-code/lit
Developer Guide: https://github.com/PAIR-code/lit/blob/main/docs/development.md
Paper: https://arxiv.org/abs/2008.05122
Video: https://www.youtube.com/watch?v=j0OfBWFUqIE
@ai_machinelearning_big_data
Efficient PyTorch I/O library for Large Datasets, Many Files, Many GPUs
https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/
Github: https://github.com/tmbdev/webdataset
Documentation: https://webdataset.readthedocs.io/en/latest/
@ai_machinelearning_big_data
https://pytorch.org/blog/efficient-pytorch-io-library-for-large-datasets-many-files-many-gpus/
Github: https://github.com/tmbdev/webdataset
Documentation: https://webdataset.readthedocs.io/en/latest/
@ai_machinelearning_big_data
Content-Based Recommendation System using Word Embeddings
https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html
Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data
@ai_machinelearning_big_data
https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html
Code: https://github.com/sdhilip200/Content-Based-Recommendation---Good-Reads-data
@ai_machinelearning_big_data
KDnuggets
Content-Based Recommendation System using Word Embeddings - KDnuggets
This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.
PyTorch 1.6 now includes Stochastic Weight Averaging
https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/
@ai_machinelearning_big_data
https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/
@ai_machinelearning_big_data
Understanding Deep Learning on Controlled Noisy Labels
https://ai.googleblog.com/2020/08/understanding-deep-learning-on.html
Code: https://github.com/google-research/google-research/tree/master/mentormix
Dataset: https://google.github.io/controlled-noisy-web-labels/index.html
@ai_machinelearning_big_data
https://ai.googleblog.com/2020/08/understanding-deep-learning-on.html
Code: https://github.com/google-research/google-research/tree/master/mentormix
Dataset: https://google.github.io/controlled-noisy-web-labels/index.html
@ai_machinelearning_big_data
Googleblog
Understanding Deep Learning on Controlled Noisy Labels
📗 Forward from the 'Deep Learning for Coders' Book
Post: https://www.fast.ai/2020/08/20/soumith-forward/
Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb
Github: https://github.com/fastai/fastbook
@ai_machinelearning_big_data
Post: https://www.fast.ai/2020/08/20/soumith-forward/
Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb
Github: https://github.com/fastai/fastbook
@ai_machinelearning_big_data
👍1
Facebook research at ECCV 2020
https://ai.facebook.com/blog/facebook-research-at-eccv-2020/
@ai_machinelearning_big_data
https://ai.facebook.com/blog/facebook-research-at-eccv-2020/
@ai_machinelearning_big_data
Facebook
Facebook research at ECCV 2020
Facebook researchers and engineers specializing in computer vision, AR/VR, artificial intelligence, infrastructure, and more will be presenting their research…
Introducing Semantic Reactor: Explore NLP in Google Sheets
https://blog.tensorflow.org/2020/08/introducing-semantic-reactor-explore-nlp-sheets.html
Code sample: https://github.com/google/making_with_ml/blob/master/semantic_ml/use_sample.js
@ai_machinelearning_big_data
https://blog.tensorflow.org/2020/08/introducing-semantic-reactor-explore-nlp-sheets.html
Code sample: https://github.com/google/making_with_ml/blob/master/semantic_ml/use_sample.js
@ai_machinelearning_big_data
blog.tensorflow.org
Introducing Semantic Reactor: Explore NLP in Google Sheets
The Semantic Reactor is a new plugin for Google Sheets that lets you run natural language understanding (NLU) models on your own data, right from a spreadsheet.
Building a Neural Network to Predict Loan Risk
https://tymick.me/blog/loan-risk-neural-network
Github: https://github.com/tywmick/loan-risk-neural-network
@ai_machinelearning_big_data
https://tymick.me/blog/loan-risk-neural-network
Github: https://github.com/tywmick/loan-risk-neural-network
@ai_machinelearning_big_data
Ty Mick
Building a Neural Network to Predict Loan Risk - Ty Mick
or, Ty Goes Into Far Too Much Detail About Cleaning Data