آموزش انواع رگرسیونها از دکتر مهدی اله یاری

Autoencoders Tutorial Part 2

#منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی
#machinelearning #ArtificialIntelligence #DeepLearning

❇️ @AI_Python

آموزش انواع رگرسیونها از دکتر مهدی اله یاری

Autoencoders Tutorial Part 3 final

#منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی
#machinelearning #ArtificialIntelligence #DeepLearning

❇️ @AI_Python

آموزش «آمار برای هوش مصنوعی » از دانشگاه CMU

Probability Part 1

#کلاس_آموزشی #فیلم #منابع #آمار #هوش_مصنوعی #یادگیری_ماشین
#machineLearning #ArtificialIntelligence

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آموزش های هوش مصنوعی دکتر اله یاری

Seq2seq Learning Example Part 1

#منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی
#machinelearning #ArtificialIntelligence #DeepLearning

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

آموزش های هوش مصنوعی دکتر اله یاری

Seq2seq Learning Example Part 2

#منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی
#machinelearning #ArtificialIntelligence #DeepLearning

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

آموزش های هوش مصنوعی دکتر اله یاری

RNN and LSTM Networks Tutorial Part 1

#منابع #فیلم #دانشگاه #الگوریتمها #کلاس_آموزشی #یادگیری_ماشین #هوش_مصنوعی
#machinelearning #ArtificialIntelligence #DeepLearning

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

همه چی در مورد انباره داده ها Data Warehouse

#الگوریتمها #هوش_مصنوعی #علم_داده #منابع
#DataScience #ArtificialIntelligence #AI

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✴️ @AI_Python_en

Lecture Notes in Deep Learning: Feedforward Networks — Part 3 | #DataScience #MachineLearning #ArtificialIntelligence #AI

https://bit.ly/2Z2GgQY

Reinforcement Learning

Let's say we have an agent in an unknown environment and this agent can obtain some rewards by interacting with the environment.

The agent is tasked to take actions so as to maximize cumulative rewards. In reality, the scenario could be a bot playing a game to achieve high scores, or a robot trying to complete physical tasks with physical items; and not just limited to these.

Like humans, RL agents learn for themselves to achieve successful strategies that lead to the greatest long-term rewards.

This kind of learning by trial-and-error, based on rewards or punishments, is known as reinforcement learning (RL).

TensorTrade is an open-source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning.

https://github.com/tensortrade-org/tensortrade

#artificialintelligence #machinelearning #datascience #datascience #python

🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python

AI is a Lie

Imagine this to be true for a moment Imagine

there’s a group of few weird animals who are pretending to be ‘AI’

These animals have one special power

Whenever you ask them a question they would reply back with a decision

But your question should be supported with some examples for them to learn from

For example:

- If I ask the animals to determine whether a person is happy or sad

The animals would need to be first trained through some examples in order to understand the 2 types of emotions

Sadly their decisions won’t be perfect always

But if you keep training them with more examples they are likely to improve their decision making abilities

Also there are various types of these animals some who require less examples while some who require more It’s your call to choose which animal should answer your question You can even choose mutliple animals This is how ML works in real-life too ML models (Animals) learn through examples and takes decisions based on the input given It’s your call to choose which model The output won’t be perfect always But if you keep on training your model with relevant new examples It’d learn to improvise What would you want these animals to do for you? #machinelearning #datascience #artificialintelligence