AI, Python, Cognitive Neuroscience
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This Google Tutorial (96 slides total) on Machine Learning is the best:

🌎 https://bit.ly/2kyUKne

#BigData #DataScience #NeuralNetworks #AI #DeepLearning #ML #Algorithms #DataScientists #ReinforcementLearning

❇️ @AI_Python
✴️ @AI_Python_EN
How Can You Build A Winning Machine Learning Algorithm?

http://bit.ly/2PV6tPv

#MachineLearning #ml #Algorithms

❇️ @AI_Python
✴️ @AI_Python_EN
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Introducing Amazon Go and the world’s most advanced shopping technology

Amazon Go is a new kind of store featuring the world's most advanced shopping technology. No lines, no checkout – just grab and go! Watch the video

#AI #ArtificialIntelligence

Is this the future Of shopping?

❇️ @AI_Python
✴️ @AI_Python_EN
"Condensing paragraphs into sentences isn’t easy for artificial intelligence (AI). That’s because it requires a semantic understanding of the text that’s beyond the capabilities of most off-the-shelf natural language processing models. But it’s not impossible, as researchers at Microsoft recently demonstrated.

In a paper published on the preprint server
Arxiv.org (“Structured Neural Summarization“), scientists at Microsoft Research in Cambridge, England describe an AI framework that can reason about relationships in “weakly structured” text, enabling it to outperform conventional NLP models on a range of text summarization tasks."

https://venturebeat.com/2018/11/06/microsoft-researchers-develop-ai-system-that-can-generate-articles-summaries/

❇️ @AI_Python
✴️ @AI_Python_EN
"Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups"

By Thomas Wolf: https://lnkd.in/etyMzjQ

#ArtificialInteligence #DeepLearning #MachineLearning #NeuralNetworks

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
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Playing first-person shooter games with webcam and #DeepLearning (Tensorflow #ObjectDetection)

Find out how you can use an object detection model to control and play any first-person shooter game with your computer's webcam. Links to the code below.

Full Video: https://lnkd.in/eBq7z4r

Blog: https://lnkd.in/eekrqWk

Code: https://lnkd.in/ekhwwiJ

Subscribe: youtube.com/c/DeepGamingAI

@AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
WOAH! OpenAI just released Spinning Up. A FREE resource for learning Deep Reinforcement Learning (RL).

Why Deep RL?


Because the beautiful thing about #DeepRL is much of the learning takes place by an agent in a virtual environment.

But wait... what's an agent? And what's an environment?

There's a new treatment available for patients with a certain issue. But she's hesitant to try it. She wants to wait for more trials to take place and more evidence to come out.

But running such trials in the real world is expensive and potentially harmful.

What if you could create a computer-generated version of Jessica (the agent), to try the treatment in a simulated medical centre (the environment) to see how it affected patients with similar characteristics to those in the real world?

With the knowledge you gain in the generated world, you could potentially improve the treatment and better suit it to each individual patient. Click HERE

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✴️ @AI_Python_EN
CS231n: Convolutional Neural Networks for Visual Recognition ,This is the syllabus for the Spring 2018 iteration of the course.

Schedule and Syllabus university of stanford

http://cs231n.stanford.edu/syllabus.html

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
Artificial Intelligence Projected Revenue

#artificialintelligence #ai

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🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
🔥To our new subscribers 🔥

If you have trouble reading our posts in farsi which is 100% normal if you are not a native persian speaker 😃 i invite you to join english version of our channel:
✴️ @AI_Python_EN

PS: we have another channel called arXiv with a great AI bot that posts significant and recent articles submitted to arXiv on a daily basis:
🗣 @AI_Python_Arxiv

Thank you for joining our community of AI researchers and Python users.

Meysam Asgari on behalf of ai_python admins team.

❇️ @AI_Python
I think programming languages are called languages for a reason - and I think we all have a native and secondary language

Here's a handy lexicon between R and Python of sorts for your reference. It's sure to be handy, no matter which one is your native language!

🌎 https://lnkd.in/eG-Grrr


#datascience #dataanalysis #python #r

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🗣 @Data_Experts
✴️ @AI_Python_EN
How to build your own Neural Network from scratch in Python


🔵 A beginner’s guide to understanding the inner workings of Deep Learning

https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6


❇️ @AI_Python
🗣 @Data_Experts
✴️ @AI_Python_EN
Why learn Keras? This neutral network library is user-friendly and modular


🌎 https://jaxenter.com/keras-deep-learning-152388.html


✴️ @AI_Python_EN
This is a great article on improving «Understanding Capsule Networks — AI’s Alluring New Architecture»

#deeplearning #convolutional #neuralnetworks

https://lnkd.in/e_pZ9zp

✴️ @AI_Python_EN
Which GPU(s) to Get for Deep Learning?

This great article explains the difference GPU in the market. Deep learning is a field with intense computational requirements and the choice of your GPU will fundamentally determine your deep learning experience. With no GPU this might look like months of waiting for an experiment to finish, or running an experiment for a day or more only to see that the chosen parameters were off and the model diverged.

https://lnkd.in/dG9XrbH

#GPU
#deeplearning

✴️ @AI_Python_EN
❇️ @AI_Python
Here is the list of resources to learn Data Structures and Algorithms from beginner to advance:

📑 Prerequisite - MIT's Mathematics for Computer Science:
🔸 https://lnkd.in/ejdPkSs

📌 Khan Academy - Intro to algorithms:
🔸 https://lnkd.in/e8ZUWwz

📌 Introduction to Algorithms Book by Charles E. Leiserson, Clifford Stein, Ronald Rivest, and Thomas H. Cormen:
🔸 https://lnkd.in/e8iqvwn

📌 GeeksforGeeks - Data Structures Tutorials:
🔸https://lnkd.in/eiFACVV

📌 MIT - Introduction to Algorithms:
🔸 https://lnkd.in/eKavb3T

📌 Coursera - Data Structures and Algorithms Specialization:
🔸 https://lnkd.in/eDk8ZuY

📌 Coursera - Algorithms Specialization:
🔸 https://lnkd.in/ejJw5TV

📌 MIT - Advanced Data Structures:
🔸 https://lnkd.in/eKA7FD2

📌 GeeksforGeeks - Advanced Data Structures Tutorials:
🔸 https://lnkd.in/eu2J-Bm

💡 I also found this interesting website which explains Data Structures and Algorithms through animations -

🔸 https://visualgo.net/en



#datastructures #algorithms #mathematics #machinelearning #computerscience

✴️ @AI_Python_EN
❇️ @AI_Python
NeurIPS 2018 Accepted Papers as poster

Thirty-second Conference on Neural Information Processing Systems

https://nips.cc/Conferences/2018/Schedule?type=Poster

✴️ @AI_Python_EN
❇️ @AI_Python