Misconception 4: Explainable #machinelearning is just models of models.
I do like surrogate models. They have several important uses. However, I also REALLY like tools that explain models directly, including:
- ALE: https://lnkd.in/e3mz23V
- ICE: https://lnkd.in/eaQxk_Q
- Friedman's H-stat: https://lnkd.in/emwNcdy
- Partial dependence: https://lnkd.in/ejnkFYN, Section 10.13.2
- Shapley explanations: https://lnkd.in/ewsMxbU
(What did I miss? Any others?)
Moreover, surrogate models & direct explanatory techniques work very well together! See pic below.
Misconception 3: https://lnkd.in/eM3hVyW
Read more/contribute: https://lnkd.in/e8_hciE
#ai #datascience #deeplearning #aiforall #artificialintelligence #datascience #ml #python
✴️ @AI_Python_EN
I do like surrogate models. They have several important uses. However, I also REALLY like tools that explain models directly, including:
- ALE: https://lnkd.in/e3mz23V
- ICE: https://lnkd.in/eaQxk_Q
- Friedman's H-stat: https://lnkd.in/emwNcdy
- Partial dependence: https://lnkd.in/ejnkFYN, Section 10.13.2
- Shapley explanations: https://lnkd.in/ewsMxbU
(What did I miss? Any others?)
Moreover, surrogate models & direct explanatory techniques work very well together! See pic below.
Misconception 3: https://lnkd.in/eM3hVyW
Read more/contribute: https://lnkd.in/e8_hciE
#ai #datascience #deeplearning #aiforall #artificialintelligence #datascience #ml #python
✴️ @AI_Python_EN
Empowering you to use machine learning to get valuable insights from data.
🔥 Implement basic ML algorithms and deep neural networks with PyTorch.
🖥 Run everything on the browser without any set up using Google Colab.
📦 Learn object-oriented ML to code for products, not just tutorials.
Github Link - https://lnkd.in/f8nu8UR
#datascience #data #dataanalysis #ml #machinelearning #deeplearning #ai #artificialintelligence
✴️ @AI_Python_EN
🔥 Implement basic ML algorithms and deep neural networks with PyTorch.
🖥 Run everything on the browser without any set up using Google Colab.
📦 Learn object-oriented ML to code for products, not just tutorials.
Github Link - https://lnkd.in/f8nu8UR
#datascience #data #dataanalysis #ml #machinelearning #deeplearning #ai #artificialintelligence
✴️ @AI_Python_EN
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks
Paper: http://ow.ly/Nk6Y50uAmII
#artificialinteligence #ai #ml #machinelearning #bigdata #deeplearning #technology
✴️ @AI_Python_EN
Paper: http://ow.ly/Nk6Y50uAmII
#artificialinteligence #ai #ml #machinelearning #bigdata #deeplearning #technology
✴️ @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
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