​Why Heatmaps don’t work for experimenting “geospatially” on ground?

🔗 Why Heatmaps don’t work for experimenting “geospatially” on ground?
What can we learn about experiments on the ground from web-based experimentation?

​Real-Time Object Detection with YOLO

🔗 Real-Time Object Detection with YOLO
Exploring the ultra-fast computer vision algorithm capable of processing 155+ frames per second

🎥 Bridging Game Theory and Deep Learning Opening and Motivation
👁 1 раз ⏳ 640 сек.
Bridging Game Theory and Deep Learning Opening and Motivation

This video reposted for educational purposes

Workshop URL: https://sgo-workshop.github.io/
Video URL: https://slideslive.com/38922020/bridging-game-theory-and-deep-learning-1

Overview:
Advances in generative modeling and adversarial learning have given rise to renewed interest in differentiable two-players games, with much of the attention falling on generative adversarial networks (GANs). Solving these games introduces distinct challenges com

​https://www.youtube.com/watch?v=bQa7hpUpMzM

🔗 Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence | AI Podcast
Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times. This conversation is part of the Artificial Intelligence podcast.

This episode is presented by Cash App. Download

​New Data Science Cheat Sheet,

https://www.datasciencecentral.com/profiles/blogs/new-data-science-cheat-sheet

🔗 New Data Science Cheat Sheet, by Maverick Lin
Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers…

​Text Analytics with Python

📝 Sarkar - Text Analytics with Python.pdf - 💾6 817 464

​AAAI 20 / AAAI 2020 Keynotes Turing Award Winners Event / Geoff Hinton, Yann Le Cunn, Yoshua Bengio

🔗 AAAI 20 / AAAI 2020 Keynotes Turing Award Winners Event / Geoff Hinton, Yann Le Cunn, Yoshua Bengio
**Highlighted Topics** 02:52 [Talk: Stacked Capsule Autoencoders by Geoffrey Hinton] 36:04 [Talk: Self-Supervised Learning by Yann LeCun] 1:09:37 [Talk: Deep Learning for System 2 Processing by Yoshua Bengio] 1:41:06 [Panel Discussion] Auto-chaptering powered by VideoKen (https://videoken.com/) For indexed video, https://conftube.com/video/vimeo-390347111 **All Topics** 03:09 Two approaches to object recognition 03:53 Problems with CNNs: Dealing with viewpoint changes 04:42 Equivariance vs Invariance 0

​Subdomains Of AI (Genetic Computing (Automative Design, Encryption and…

🔗 Subdomains Of AI (Genetic Computing (Automative Design, Encryption and…
Subdomains Of AI (Genetic Computing, Neural Network, Machine Learning, Deep Learning, Computer Vision, Robotics, Expert System, Natural Language Process, Semantic Web, ( ( (Knowledge Representation, Production, Image Classification))))

🎥 End-to-end machine Learning Using AI platform
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🎥 Инновационный практикум. Презентации проектов. Часть 1
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00:07 Computer Science course management system
07:36 REF Fan Computer vision
28:04 Резонанс
33:30 Анализ и извлечение данных из диаграмм
41:53 Obfuscare
54:46 Deep Learning for Retail

​Книга Python Data Analytics

📝 Python Data Analytics, 2nd Edition.epub - 💾15 317 805

📝 Python Data Analytics, 2nd Edition.pdf - 💾14 645 490

​Data used to train #AI can contain implicit racial, gender, or ideological biases. How can we champion processes to remove bias from AI?

https://www.anaconda.com/machine-learning-bias-fairness/

🔗 What Can AI Teach Us about Bias and Fairness? - Anaconda
While it’s true machine learning has had problems with biased outcomes, one thing is for certain: humans are the reason for that. Here are five ways we can improve.

🎥 Face Detection on Custom Dataset with Detectron2 and PyTorch using Python
👁 1 раз ⏳ 4041 сек.
Complete tutorial + source code: https://www.curiousily.com/posts/face-detection-on-custom-dataset-with-detectron2-in-python/

📖 Read Hacker's Guide to Machine Learning with Python: http://bit.ly/Hackers-Guide-to-Machine-Learning-with-Python

Learn how to prepare a custom Face Detection dataset for Detectron2 and PyTorch. Fine-tune a pre-trained model to find face boundaries in images.

​​​Photofeeler-D3

https://blog.photofeeler.com/photofeeler-d3/

🔗 AI Trained on 100 Million Opinions Can Predict What People Will Think of Your Photos - Profiled
Which of your Tinder pics make you look attractive, smart, or trustworthy? Our new convolutional neural network, Photofeeler-D3, has the answer. Training on Photofeeler’s vast dating dataset achieved 80-88% correlation to human voters for attractiveness prediction (referred to as Facial Beauty Prediction in literature).

​Data Science from Scratch: First Principles with Python
Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Открыть в Telegram



📝 Data_Science_from_Scratch-_First_Principles_with_Python.pdf - 💾5 842 217

📝 Joel Grus - Data Science From Scratch - First Principles with Python - 2015.epub - 💾2 775 157

🎥 Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka
👁 6 раз ⏳ 34712 сек.
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka Machine Learning Full Course video will help you understand and learn Machine Learning Algorithms in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms. Below are the topics covered in this Machine Learning Tutorial for Beginners video:
2:47 What is Machine Learning?
4:08 AI vs ML vs Dee