Applying artificial intelligence for social good

🌎 http://bit.ly/2raCQLp

#AI #ArtificialIntelligence #MachineIntelligence #ML #MachineLearning #DataScience #Analytics
#BigData #IoT

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

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

❇️ @AI_Python
✴️ @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

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

Difference Between

#BusinessIntelligence and #DataScience

❇️ @AI_Python
🗣 @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

❇️ @AI_Python
🗣 @Data_Experts
✴️ @AI_Python_EN

All 10 talks from NeurIPS today:

https://lnkd.in/eYKW3Nv

#AI #ArtificialIntelligence #DeepLearning #MontrealArtificialIntelligence #NeurIPS #NeurIPS2018


❇️ @AI_Python
🗣 @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

How to recognize fake AI-generated images

https://medium.com/@kcimc/how-to-recognize-fake-ai-generated-images-4d1f6f9a2842

✴️ @AI_Python_EN
❇️ @AI_Python

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

وقتی ادمین تازه کار رو سرور dd میزنه ...
#Fun

© @Code_Community

If you were wondering how to select dimensionality of your word embeddings, this could be a solution:

https://lnkd.in/d4WKtwX

#NeurIPS2018

✴️ @AI_Python_EN
❇️ @AI_Python

When should you use an end-to-end learning system, and when should you not? Learn the pros and cons of end-to-end learning in hashtag#MLY Ch. 47-49:

http://bit.ly/2QGVDw2

How To Show A Business Impact in Machine Learning Projects
[A step-by step guide with complete R codes]

1) Scoping the Project
2) Preparing the Data
3) Fitting the Model
4) Making Predictions
5) Showing a Business Impact



https://lnkd.in/eCy_7Y6

#machinelearning #datascience #analytics

✴️ @AI_Python_EN
❇️ @AI_Python

Professor Andrew Ng :

With NeurIPS 2018 on right now, it has been exactly 10 years since we proposed the controversial idea of using CUDA+GPUs for deep learning! h/t goodfellow_ian who in 2008 helped build our first GPU server in his Stanford dorm.

🌎 http://www.cs.cmu.edu/~dst/NIPS/nips08-workshop/


I think this story is important for all of you working in a dorm room or garage right now. We live in an age where what you do today can have a massive global impact in 10 years.

✴️ @AI_Python_EN
❇️ @AI_Python