How to start learning artificial intelligence?

#Ai #Deep_Learning #Machine_learning


📍Machine Learnig with scikit-learn
👉 course
📍Machine Learning With Python
👉 Course
📍Machine Learning
👉 Course
📍Introduce Machine Learning
👉 Course
📍Principles and Methods of AI from Stanford University
👉 Course
📍Educational Resources MIT
👉 Courses
📍Artificial intelligence course Saylor
👉 Course
📍Educational Resources in Edx
👉 Course
📍Initial AI Training Resources Udacity
👉 Course
📍Berkeley University lecture videos
👉 Course
📍Training Deep Learning Google
👉 Course
📍Carnegie Mellon University Machine Learning Larry Wasserman
👉 Course
📍Neural Network Training for Artificial Intelligence
👉 Course
✅ Learn the theories of statistics, probability and mathematics

📍Linear Algebra Training
👉 Course
📍Statistics and probability training MIT
👉 Course
📍calculus
👉 Course 1 Course 2
📍Learning the theory of graph coursera
👉 Course
📍Method Optimization
👉 Course

🗣 @AI_Python_Arxiv
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✅ Primer for Learning Google Colab

#Deep_Learning #Training

🔔 Link Review

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python

Deep Learning Research Review Week 3: Natural Language Processing

#Machine_learning #Deep_Learning #Training

🌎 Link Review


🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python

This series will teach you how to use Keras, a neural network API written in Python. Each video focuses on a specific concept and shows how the full implementation is done in code using Keras and Python. We will learn how to preprocess data, organize data for training, validation and testing, build an artificial neural network from scratch, train an artificial neural network, build a convolutional neural network (CNN) and much more!

#Deep_Learning #Keras #python #Neural_Network

🌎 Link Review

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python

Intro to Deep Learning with PyTorch By Facebook AI

✅ Free Course

#Deep_Learning #DL #PyTorch

🌎 Link Review

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python