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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Why are GANs considered unsupervised learning?

#Machine_learning

🔔 Link Review

🗣 @AI_Python_Arxiv
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Here's a simple 7 Step Guide to learn #DataScience and #Machine_learning with R:
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Why R?
-Open Source
-Advanced Statistical Language
-Amazing graphs
-Runs on variety of platforms
-Made by statisticians

1. Download R Studio - https://lnkd.in/get9VyK

2. Learn the basic data structures & algorithms of R
Understand DataFrames - https://lnkd.in/g_qqYZG
Basics of R - https://lnkd.in/gY2DxTQ
DataCamp Introduction to R - https://lnkd.in/giMGbph

3. Do more practice problems with R
R-statistics : https://lnkd.in/gfC94Kb
DataCamp Intermediate R - https://lnkd.in/gk9AGd3

4. Learn Data Manipulation Libraries (Dplyr, tidyr, stringr)
Dplyr - https://lnkd.in/gAWusih

5. Data Visualization (ggplot2, ggvis, rgl, etc)
Ggplot2 Tutorial - https://lnkd.in/eThJXNr
R-Graph Gallery - https://lnkd.in/gkrsVM4
Shiny R Markdown - https://lnkd.in/gpSMh4a

6. Machine Learning Libraries (CARET, glmnet, car, etc..)
Machine Learning in 20min: https://lnkd.in/g-Su_um
Machine Learning with CARET: https://lnkd.in/gQH-PEP

7. Incorporate your Data Analysis and ML
David Langer R Series - https://lnkd.in/gxvmRNQ
Kaggle Titanic - https://lnkd.in/gRRa7HV

FINISH! 🥇
- - -
You R now on your way to success 🚀

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
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Deep Learning Research Review Week 3: Natural Language Processing

#Machine_learning #Deep_Learning #Training

🌎 Link Review


🗣 @AI_Python_Arxiv
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Text Generation for Char LSTM models

Train a character-level language model on a corpus of jokes.

#Machine_learning #Training

🌎 Link Review

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python

100 Days of Machine Learning Coding as proposed by Siraj Raval

#tutorial #machine_learning #python #infographic #100DaysOfMLCode
@pythony

github.com/Avik-Jain/100-Days-Of-ML-Code

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🗣 @AI_Python_arXiv

🔸 100 Days of ML Coding
#Machine_Learning #Ml
#machine_learning_algorithms

👉 Link Review

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©️ @Code_Community

Welcome to @ai_machinelearning_big_data the world of :
* #Artificial #Intelligence,
* #Deep #Learning,
* #Machine #Learning,
* #Data #Science
* #Python Programming language
* and more advanced research
links🔗 and more you wanted.
Join us and learn hot topics of Computer Science together.👇👇👇

@ai_machinelearning_big_data