AI, Python, Cognitive Neuroscience
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omplete Deep Learning Drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

GitHub by Marimuthu K.: https://lnkd.in/eTUp4Hi

B. For Business Applications you can see at
Data Science Process https://lnkd.in/fMHtxYP
Data Visualization in Business https://lnkd.in/fYUCzgC
Understand How to answer Why https://lnkd.in/f396Dqg
Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
Machine Learning Applications on Retail https://lnkd.in/fihPTJf

#machinelearning #analytics #datascience #artificialintelligence

#artificialintelligence #deeplearning #machinelearning #reinforcementlearning

✴️ @AI_Python_EN
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

Jaderberg et al.: https://lnkd.in/eGTXYfE

#artificialintelligence #deeplearning #reinforcementlearning

✴️ @AI_Python_EN
Supervised Machine Learning.pdf
2 MB
Why Should you Learn AI and Machine Learning

Why Machine Learning Fascinates Me?

Supervised Machine Learning

Do you know what is Machine Learning All About?

The Science of Machine Learning is about Learning the Models that Generalize Well Machine learning is an area of artificial intelligence and computer science This includes the development of software and algorithms that can make predictions based on data.

Data Science Enthusiasts, I have Created a Community for Us to Learn Together🗝

Interested people let me know in the Comments and I will send you the invite link to our Community🎟🗣

#reinforcementlearning #machinlearning #Datascience #ArtificialIntelligence #gans
#SupervisedMachineLearning #ML #dl #iot #bigdata

✴️ @AI_Python_EN
Check out Off-Policy Classification, a new method to evaluate the performance of #reinforcementlearning agents trained entirely on data from prior agents, enabling selective testing of only the most promising models on real-world robots. Learn more below!

https://ai.googleblog.com/2019/06/off-policy-classification-new.html

✴️ @AI_Python_EN
Training an AI agent to play Snake with TensorFlow 2.0.

Code by Paweł Kieliszczyk: https://lnkd.in/edTVYEC

#MachineLearning #ReinforcementLearning #TensorFlow

✴️ @AI_Python_EN
FacebookAI: Is the lottery ticket phenomenon a general property of DNNs or merely an artifact of supervised image classification? We show that the lottery ticket phenomenon is a general property which is present in both
#reinforcementlearning #NLP

https://arxiv.org/abs/1906.02768

❇️ @AI_Python_EN
Decision trees are extremely fast when it comes to classify unknown records. Watch this video to know how Decision Tree algorithm works, in an easy way - http://bit.ly/2Ggsb9l

#DataScience #MachineLearning #AI #ML #ReinforcementLearning #Analytics #CloudComputing #Python #DeepLearning #BigData #Hadoop