How to start learning artificial intelligence?
#Ai #Deep_Learning #Machine_learning
đMachine Learnig with scikit-learn
đ course
đMachine Learning With Python
đ Course
đMachine Learning
đ Course
đIntroduce Machine Learning
đ Course
đPrinciples and Methods of AI from Stanford University
đ Course
đEducational Resources MIT
đ Courses
đArtificial intelligence course Saylor
đ Course
đEducational Resources in Edx
đ Course
đInitial AI Training Resources Udacity
đ Course
đBerkeley University lecture videos
đ Course
đTraining Deep Learning Google
đ Course
đCarnegie Mellon University Machine Learning Larry Wasserman
đ Course
đNeural Network Training for Artificial Intelligence
đ Course
â Learn the theories of statistics, probability and mathematics
đLinear Algebra Training
đ Course
đStatistics and probability training MIT
đ Course
đcalculus
đ Course 1 Course 2
đLearning the theory of graph coursera
đ Course
đMethod Optimization
đ Course
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
#Ai #Deep_Learning #Machine_learning
đMachine Learnig with scikit-learn
đ course
đMachine Learning With Python
đ Course
đMachine Learning
đ Course
đIntroduce Machine Learning
đ Course
đPrinciples and Methods of AI from Stanford University
đ Course
đEducational Resources MIT
đ Courses
đArtificial intelligence course Saylor
đ Course
đEducational Resources in Edx
đ Course
đInitial AI Training Resources Udacity
đ Course
đBerkeley University lecture videos
đ Course
đTraining Deep Learning Google
đ Course
đCarnegie Mellon University Machine Learning Larry Wasserman
đ Course
đNeural Network Training for Artificial Intelligence
đ Course
â Learn the theories of statistics, probability and mathematics
đLinear Algebra Training
đ Course
đStatistics and probability training MIT
đ Course
đcalculus
đ Course 1 Course 2
đLearning the theory of graph coursera
đ Course
đMethod Optimization
đ Course
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
Why are GANs considered unsupervised learning?
#Machine_learning
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
#Machine_learning
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
Here's a simple 7 Step Guide to learn #DataScience and #Machine_learning with R:
ââââââââââââââââââââââââââââââ
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! đĨ
- - -
You R now on your way to success đ
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
ââââââââââââââââââââââââââââââ
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! đĨ
- - -
You R now on your way to success đ
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
Deep Learning Research Review Week 3: Natural Language Processing
#Machine_learning #Deep_Learning #Training
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
#Machine_learning #Deep_Learning #Training
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
Text Generation for Char LSTM models
Train a character-level language model on a corpus of jokes.
#Machine_learning #Training
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
Train a character-level language model on a corpus of jokes.
#Machine_learning #Training
đ Link Review
đŖ @AI_Python_Arxiv
â´ī¸ @AI_Python_EN
âī¸ @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
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
đŖ @AI_Python_arXiv
#tutorial #machine_learning #python #infographic #100DaysOfMLCode
@pythony
github.com/Avik-Jain/100-Days-Of-ML-Code
â´ī¸ @AI_Python_EN
âī¸ @AI_Python
đŖ @AI_Python_arXiv
Forwarded from Code Community âī¸ (Amir Arman)
đ¸ 100 Days of ML Coding
#Machine_Learning #Ml
#machine_learning_algorithms
đ Link Review
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ÂŠī¸ @Code_Community
#Machine_Learning #Ml
#machine_learning_algorithms
đ Link Review
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ÂŠī¸ @Code_Community