Learn.MachineLearning
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Resource place for AI.
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Learn.MachineLearning
Andrew Ng notes
Learn.MachineLearning
https://data-flair.training/blogs/machine-learning-datasets/
DataFlair
70+ Machine Learning Datasets & Project Ideas – Work on real-time Data Science projects - DataFlair
Find machine learning datasets that you will ever need while working on data science project. Get details of dataset with project idea.
Learn.MachineLearning
https://www.forbes.com/sites/forbestechcouncil/2019/11/06/the-next-generation-applications-of-artificial-intelligence-and-machine-learning/
Forbes
The Next-Generation Applications Of Artificial Intelligence And Machine Learning
From virtual personal assistants like Siri and Alexa to the recommended shows that Netflix serves up based on viewing habits, ML powers these tools we’ve become so accustomed to using — even if we don't stop to think about how it happens.
Learn.MachineLearning
https://ipam.wistia.com/medias/1931zxcuv1
; Great talk by Yann Lecun at IPAM
Wistia
Yann LeCun:
Yann LeCun - Courant Institute of Mathematical Sciences - New York University & Facebook AI Research
Learn.MachineLearning
Data Science Career Guide.pdf
348.9 KB
Data Science Career Guide.pdf
Learn.MachineLearning
https://www.analyticsvidhya.com/blog/2019/11/comprehensive-guide-attention-mechanism-deep-learning/
Analytics Vidhya
A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone
Learn about Attention Mechanism, its introduction in deep learning, implementation in Python using Keras, and its applications in computer vision.
Learn.MachineLearning
Deep-Learning-with-PyTorch.pdf
16.8 MB
Learn.MachineLearning
https://venturebeat.com/2019/11/21/openai-safety-gym/
VentureBeat
OpenAI releases Safety Gym for reinforcement learning
OpenAI's new reinforcement learning AI training environment -- Safety Gym -- aims to spur development of "safe" machine learning models.
Learn.MachineLearning
https://machinelearningmastery.com/impressive-applications-of-generative-adversarial-networks/
MachineLearningMastery.com
18 Impressive Applications of Generative Adversarial Networks (GANs) - MachineLearningMastery.com
A Generative Adversarial Network, or GAN, is a type of neural network architecture for generative modeling. Generative modeling involves using a model to generate new examples that plausibly come from an existing distribution of samples, such as generating…
Learn.MachineLearning
https://cloud.google.com/explainable-ai/
Google Cloud
Introduction to Vertex Explainable AI | Vertex AI | Google Cloud
Learn about Vertex Explainable AI feature-based and example-based explanations to provide better understanding of machine learning model decision-making, improve model development, and identify potential issues.
Learn.MachineLearning
https://futurism.com/images/the-top-19-artificial-intelligence-movies-of-all-time
Futurism
The Top Artificial Intelligence Movies of All Time
Here are our favorite AI movies of all time, all well worth a watch.
Learn.MachineLearning
Learn.MachineLearning
https://ai.facebook.com/blog/powered-by-ai-instagrams-explore-recommender-system
Learn.MachineLearning
https://www.datasciencecentral.com/profiles/blogs/50-free-data-science-books
Data Science Central
DataScienceCentral.com - Big Data News and Analysis
New & Notable Top Webinar Recently Added New Videos
Learn.MachineLearning
https://towardsdatascience.com/machine-learning-books-you-should-read-in-2020-344b44d9a11e
Medium
Machine Learning Books you should read in 2020
What are the best Machine Learning books right now
Learn.MachineLearning
Learn.MachineLearning
https://www.simplilearn.com/deep-learning-interview-questions-and-answers-article
Simplilearn.com
Top 30 Deep Learning Interview Questions and Answers
Uncover the Deep Learning Interview Questions which cover the questions on
✔️
CNN
✔️
Neural Networks
✔️
Keras
✔️
LSTM that will be asked in Deep Learning interview.
Learn.MachineLearning
Learn.MachineLearning
Learn.MachineLearning
https://bdtechtalks.com/2019/12/03/francois-chollet-arc-ai-measurement/
TechTalks
Artificial intelligence: How to measure the “I” in AI
AI scientist François Chollet unpacks the meaning of intelligence and how to measure the efficiency of artificial intelligence systems.