⚡️23 июля в 20:00 состоится демо-урок «Логистическая регрессия для классификации данных».
За 1,5 часа вы:
● Обсудите основы регрессионных моделей
● Узнаете, как устроена логистическая регрессия
● Разберёте, какие разделы математики используются для ее построения
● Поймёте, как улучшить этот классификатор.
Занятие является частью курса «Математика для Data Science. Продвинутый уровень». Приходите получить полезные знания, познакомиться с преподавателем и оценить формат обучения.
👉Для регистрации пройдите вступительный тест, который поможет сориентироваться в уровне вашей подготовки: https://otus.pw/f6bb/
За 1,5 часа вы:
● Обсудите основы регрессионных моделей
● Узнаете, как устроена логистическая регрессия
● Разберёте, какие разделы математики используются для ее построения
● Поймёте, как улучшить этот классификатор.
Занятие является частью курса «Математика для Data Science. Продвинутый уровень». Приходите получить полезные знания, познакомиться с преподавателем и оценить формат обучения.
👉Для регистрации пройдите вступительный тест, который поможет сориентироваться в уровне вашей подготовки: https://otus.pw/f6bb/
Building a REST API with Tensorflow Serving (Part 1)
https://www.kdnuggets.com/2020/07/building-rest-api-tensorflow-serving-part-1.html
https://www.kdnuggets.com/2020/07/building-rest-api-tensorflow-serving-part-1.html
KDnuggets
Building a REST API with Tensorflow Serving (Part 1) - KDnuggets
Part one of a tutorial to teach you how to build a REST API around functions or saved models created in Tensorflow. With Tensorflow Serving and Docker, defining endpoint URLs and sending HTTP requests is simple.
Drone Face Tracking PID using OpenCV p.1
https://www.murtazahassan.com/drone-face-tracking-pid-using-opencv-p-1/
https://www.murtazahassan.com/drone-face-tracking-pid-using-opencv-p-1/
Add Binary Flags for Missing Values for Machine Learning
https://machinelearningmastery.com/binary-flags-for-missing-values-for-machine-learning/
https://machinelearningmastery.com/binary-flags-for-missing-values-for-machine-learning/
Consensus-Aware Visual-Semantic Embedding (CVSE)
Github: https://github.com/BruceW91/CVSE
Paper: https://arxiv.org/abs/2007.08883
Github: https://github.com/BruceW91/CVSE
Paper: https://arxiv.org/abs/2007.08883
DeepMind’s AI automatically generates reinforcement learning algorithms
https://venturebeat.com/2020/07/20/deepminds-ai-automatically-generates-reinforcement-learning-algorithms/
https://venturebeat.com/2020/07/20/deepminds-ai-automatically-generates-reinforcement-learning-algorithms/
VentureBeat
DeepMind’s AI automatically generates reinforcement learning algorithms
Researchers at DeepMind propose a new technique that automatically discovers a reinforcement learning algorithm from scratch.
Learning perturbation sets for robust machine learning
Git: https://locuslab.github.io/2020-07-20-perturbation/
Code: https://github.com/locuslab/perturbation_learning
Paper: https://arxiv.org/abs/2007.08450
Git: https://locuslab.github.io/2020-07-20-perturbation/
Code: https://github.com/locuslab/perturbation_learning
Paper: https://arxiv.org/abs/2007.08450
locuslab.github.io
Learning perturbation sets for robust machine learning
Using generative modeling to capture real-world transformations from data for adversarial robustness
Accelerating TensorFlow Lite with XNNPACK Integration
https://blog.tensorflow.org/2020/07/accelerating-tensorflow-lite-xnnpack-integration.html
https://blog.tensorflow.org/2020/07/accelerating-tensorflow-lite-xnnpack-integration.html
blog.tensorflow.org
Accelerating TensorFlow Lite with XNNPACK Integration
Leveraging the CPU for ML inference yields the widest reach across the space of edge devices. Consequently, improving neural network inference performance on CPUs has been among the top requests to the TensorFlow Lite team. We listened and are excited to…
Deep learning to translate between programming languages
https://ai.facebook.com/blog/deep-learning-to-translate-between-programming-languages
https://ai.facebook.com/blog/deep-learning-to-translate-between-programming-languages
Meta
Deep learning to translate between programming languages
TransCoder is the first self-supervised neural transcompiler system for migrating code between programming languages. It can translate code from Python to C++, for example, and it outperforms rule-based translation programs.
RL Unplugged: Benchmarks for Offline Reinforcement Learning
Github: https://git.io/JJUhd
Paper: https://arxiv.org/abs/2006.13888
Github: https://git.io/JJUhd
Paper: https://arxiv.org/abs/2006.13888
GitHub
deepmind-research/rl_unplugged at master · deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications - deepmind-research/rl_unplugged at master · deepmind/deepmind-research
Introducing the Model Card Toolkit for Easier Model Transparency Reporting
https://ai.googleblog.com/2020/07/introducing-model-card-toolkit-for.html
https://ai.googleblog.com/2020/07/introducing-model-card-toolkit-for.html
Googleblog
Introducing the Model Card Toolkit for Easier Model Transparency Reporting
How to Configure k-Fold Cross-Validation
https://machinelearningmastery.com/how-to-configure-k-fold-cross-validation/
https://machinelearningmastery.com/how-to-configure-k-fold-cross-validation/
MachineLearningMastery.com
How to Configure k-Fold Cross-Validation - MachineLearningMastery.com
The k-fold cross-validation procedure is a standard method for estimating the performance of a machine learning algorithm on a dataset. A common value for k is 10, although how do we know that this configuration is appropriate for our dataset and our algorithms?…
How to Build a Custom YOLOv4 Object Detector using TensorFlow
https://morioh.com/p/f9702a8223b2
CODE: https://github.com/theAIGuysCode/tensorflow-yolov4-tflite
https://morioh.com/p/f9702a8223b2
CODE: https://github.com/theAIGuysCode/tensorflow-yolov4-tflite
Repeated k-Fold Cross-Validation for Model Evaluation in Python
https://machinelearningmastery.com/repeated-k-fold-cross-validation-with-python/
https://machinelearningmastery.com/repeated-k-fold-cross-validation-with-python/
End-to-end Object Detection with Template Matching using Python
https://www.sicara.ai/blog/object-detection-template-matching
https://www.sicara.ai/blog/object-detection-template-matching