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Presentation
Workshop
Afterwork
Speakers Corner 2
Federate learning, Pretrained, NLP, Foodwaste, ML startup, Kaggleton, Self Driving Cars - 2020-10-14 23:42:35
Speakers Corner LIVE
sound recognition, image recognition, Edge AI, Text analysis, AI Sweden - 2020-07-09 18:28:06
The hunt for COVID 19 (Sv)
COVID-19 - 2020-03-22 23:11:15
NLP and tagging: text analytics and predictions on natural language
NLP, workshop, tagging - 2020-02-21 22:02:50
Xmas Burgers and Beer with Barrel AI
- 2019-12-24 15:36:58
Techfestival 2019, Removing the AI and ML hype
Techfestival 2019, Demystify - 2019-09-10 23:55:30
Kaggleton, Sound recognition
kaggle, competition - 2019-04-29 23:20:11
FoodTech and AgroTech in Skåne
Innovation Skåne, FoodTech, Machine Learning - 2018-11-08 00:00:00
Lessons from building a spam filter
Classification, spam filter, RNN - 2018-09-04 00:00:00
Action in mind
Robotics, Self Organizing Map, Growing Grid - 2018-06-27 00:00:00
AI ethics tennis match
Ethics, AI, Machine Learning, Robots, Consciousness - 2018-05-24 00:00:00
Linear Regression
Linear Regression, scikit-learn, algebra - 2018-03-01 00:00:00
What can AI do for Malmö
Education, Farming, Bikes, Jobs - 2018-02-08 00:00:00
Build an AI application without code
Azure, Face, Image - 2017-12-07 00:00:00
How People Gather
Socal networks, infomap, Jensen-Shannon similarity - 2017-11-22 00:00:00
The AI revolution in Science
Particle Physics, Machine Learning, Science - 2017-11-14 00:00:00
Bayesian predictive inference machines
Bayesian, Machine Learning, AI - 2017-09-28 00:00:00
Ethical AI AW
Afterwork - 2017-09-13 00:00:00
Image classification
Image Classification, Neural Net, Keras, Tensorflow - 2017-08-31 00:00:00
Singularity AW
Afterwork - 2017-08-17 00:00:00
The neuron WS
Neural net, JavaScript - 2017-06-16 00:00:00
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Videos

YouTube

Siraj Raval - Creative and informative videos
How I'm Learning AI and Machine Learning
Google Developers
Two Minute Papers

Lectures

MIT 6.034 Artificial Intelligence, Fall 2010
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Recurrent Neural Networks, Image Captioning, LSTM

Tools

Percepti Labs
Tensorflow
Pytorch

TED

AI playlist
How AI can enhance our memory, work and social lives
Noriko Arai: Can a robot pass a university entrance exam?

Courses

coursera

Deep Learning Specialization - with Andrew Ng
Machine Learning - with Andrew Ng
Programming for Everybody (Getting Started with Python)
Master Statistics with R

UDACITY

SIRAJ RAVAL'S DEEP LEARNING
Robotics
Self-Driving Car Engineer
Artificial Intelligence Engineer
Machine Learning Engineer Nanodegree

edX

Artificial Intelligence (AI)
Robotics: Dynamics and Control
Robotics: Vision Intelligence and Machine Learning
Learning From Data (Introductory Machine Learning)
Machine Learning for Data Science

udemy

NLP Practitioner Certification Course (Beginner to Advanced)
Python for Data Science and Machine Learning Bootcamp
Machine Learning A-Z™: Hands-On Python & R In Data Science
Deep Learning A-Z™: Hands-On Artificial Neural Networks

Other

fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices

Learning by doing

Kaggle - Create and explore projects or join a competition
Machine Learning Repository
Google Dataset Search

Librarys

awesome-machine-learning (framework list)
spaCy (language tech)
AlchemyAPI (language tech)
wit speach API (fun demo)
scikit-learn
R-project
RapidMiner
TensorFlow
Keras: The Python Deep Learning library
ml5js: Friendly Machine Learning for the Web
Caffe: Makes implementing state-of-the-art computer vision systems easy.
YOLO: Real-Time Object Detection
ImageNet (Large dataset of classified images for research)
Microsoft Cognitive Toolkit
Microsoft Bot Framework
Theano
BayesDB
Natural Language Toolkit
Google AI Natural Language Network BERT - Now Open Source
Universal Language Model Fine-tuning for Text Classification (ULMFiT)

Books, papers and websites

Artificial Intelligence: A Modern Approach - by Stuart Russell and Peter Norvig
Artificial Intelligence: A Modern Approach - by Stuart Russell and Peter Norvig (pdf)
Understanding Machine Learning: From Theory to Algorithms - by Shai Shalev-Shwartz and Shai Ben-David (pdf)
Introduction to Machine Learning - by Alex Smola and S.V.N. Vishwanathan (pdf)
Professor Jürgen Schmidhuber - A ton of AI research articles...
An overview of gradient descent optimization algorithms
Keras optimizers documentation
Keras Cheat Sheet Python
CIFAR-10 Competition Winner explained
Understanding LSTM Networks
Recurrent Neural Networks in Tensorflow I
Blog: Explorations in touchable pixels and intelligent androids
Unsupervised learning with DCGAN
Open AI - Discovering and enacting the path to safe artificial general intelligence.
Deep Learning for NLP Best Practices
CS224n: Natural Language Processing with Deep Learning
Speech and Language Processing - Course
Speech and Language Processing 3rd ed. draft

POD-casts

Talking machines
Learning machines 101
Robots podcast
The AI podcast
Distill - A modern medium for presenting research

Cool projects

Deep Index - List of most major deep learning projects
Self-driving cars in the browser
TensorFlow playground
Google Cloud Vision API
Distill
FAT/ML - Fairness, Accountability, and Transparency in Machine Learning
Free Online Book about Machine Learning for artists
LyreBird - We create the most realistic artificial voices in the world
Drawing to Image - Draw a line cartoon and let the AI make a photo like image of it
Sound of pixels - Which instrument do you want to hear?
AI4GOOD - How can AI and machine learning be applied to solve some of society's biggest challenges?

Git repos

TensorFlow CNN for fast style transfer
CIFAR-10 CNN image recogniser with Keras
fastText from facebookresearch

News about AI

Singularity Hub
Tech Business Guide

Data sources

Copernicus - Europe's eyes on Earth
All rights reserved to the barrel.ai initiators. - Based in Malmö Sweden.
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