A tip for all prospective #datascientists: #datascience is nothing but a new means to solve #business problems. #problemsolving will be only key to success. Coding languages & technologies will keep changing. Problem solving skills will always be top priority for any recruiter.
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_Arxiv
FREE DATA SCIENCE RESOURCE
After long hours curated content on data science resource during 2018, http://www.claoudml.co/ list that actually we have lucrative resource to learn data science.
You can find it http://www.claoudml.co/
#technology #business #datascience
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
After long hours curated content on data science resource during 2018, http://www.claoudml.co/ list that actually we have lucrative resource to learn data science.
You can find it http://www.claoudml.co/
#technology #business #datascience
❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN
Forwarded from DLeX: AI Python (Farzad🦅🐋🐕🦏🐻)
Innovation Nation: AI godfathers gave Canada an early edge — but we could end up being left in the dust
"Canada is hanging on to the lead by 'our fingernails' as the gold rush to commercialize artificial intelligence goes global"
By James McLeod: https://lnkd.in/emxjPNS
#artificialintelligence #business #deeplearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
"Canada is hanging on to the lead by 'our fingernails' as the gold rush to commercialize artificial intelligence goes global"
By James McLeod: https://lnkd.in/emxjPNS
#artificialintelligence #business #deeplearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
11 Facts about data science in office work
Old fact, but it is still relevant?
Please share us if you would like our channel
#datascience #business
✴️ @AI_Python_EN
Old fact, but it is still relevant?
Please share us if you would like our channel
#datascience #business
✴️ @AI_Python_EN
Data-Driven Careers Dechipered
Seems Different with what I believed, but still worth it to discuss
#business #technology #datascience
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
Seems Different with what I believed, but still worth it to discuss
#business #technology #datascience
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
Machine Learning (ML) & Artificial Intelligence (AI): From Black Box to White Box Models in 4 Steps - Resources for Explainable AI & ML Model Interpretability.
✔️STEP 1 - ARTICLES
- (short) KDnuggets article: https://lnkd.in/eRyTXcQ
- (long) O'Reilly article: https://lnkd.in/ehMHYsr
✔️STEP 2 - BOOKS
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (free e-book): https://lnkd.in/eUWfa5y
- An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI (free e-book): https://lnkd.in/dJm595N
✔️STEP 3 - COLLABORATE
- Join Explainable AI (XAI) Group: https://lnkd.in/dQjmhZQ
✔️STEP 4 - PRACTICE
- Hands-On Practice: Open-Source Tools & Tutorials for ML Interpretability (Python/R): https://lnkd.in/d5bXgV7
- Python Jupyter Notebooks: https://lnkd.in/dETegUH
#machinelearning #datascience #analytics #bigdata #statistics #artificialintelligence #ai #datamining #deeplearning #neuralnetworks #interpretability #science #research #technology #business #healthcare
✴️ @AI_Python_EN
✔️STEP 1 - ARTICLES
- (short) KDnuggets article: https://lnkd.in/eRyTXcQ
- (long) O'Reilly article: https://lnkd.in/ehMHYsr
✔️STEP 2 - BOOKS
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (free e-book): https://lnkd.in/eUWfa5y
- An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI (free e-book): https://lnkd.in/dJm595N
✔️STEP 3 - COLLABORATE
- Join Explainable AI (XAI) Group: https://lnkd.in/dQjmhZQ
✔️STEP 4 - PRACTICE
- Hands-On Practice: Open-Source Tools & Tutorials for ML Interpretability (Python/R): https://lnkd.in/d5bXgV7
- Python Jupyter Notebooks: https://lnkd.in/dETegUH
#machinelearning #datascience #analytics #bigdata #statistics #artificialintelligence #ai #datamining #deeplearning #neuralnetworks #interpretability #science #research #technology #business #healthcare
✴️ @AI_Python_EN
How to write better code on data science?
As data scientist you should write code better, here’s the steps
Before start to code, is good to know some implementation machine learning in business
✅ Step 1. Understand Data Science Implementation
https://lnkd.in/fMHtxYP
✅ Step 2. Understand what business want
https://lnkd.in/f396Dqg
✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM
After you have clear what to code, here’s the step
1. Following standard style
-> https://lnkd.in/gKZUjVa
2. Use a linter to enforce style standards
-> https://lnkd.in/d_prybR
3. Write modular, generic, object-oriented code -
-> https://lnkd.in/gsynW6Q
-> https://lnkd.in/dx53u53
4. Write unit tests to test your functions and methods
-> https://lnkd.in/dsy-bPu
5. Organizing your code base
-> https://lnkd.in/dviGffH
6. Separate exploration and production development, and develop production code using test-driven development (TDD)
-> https://lnkd.in/dMn-s32
#machinelearning #datascience #supervisedlearning #business
✴️ @AI_Python_EN
As data scientist you should write code better, here’s the steps
Before start to code, is good to know some implementation machine learning in business
✅ Step 1. Understand Data Science Implementation
https://lnkd.in/fMHtxYP
✅ Step 2. Understand what business want
https://lnkd.in/f396Dqg
✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM
After you have clear what to code, here’s the step
1. Following standard style
-> https://lnkd.in/gKZUjVa
2. Use a linter to enforce style standards
-> https://lnkd.in/d_prybR
3. Write modular, generic, object-oriented code -
-> https://lnkd.in/gsynW6Q
-> https://lnkd.in/dx53u53
4. Write unit tests to test your functions and methods
-> https://lnkd.in/dsy-bPu
5. Organizing your code base
-> https://lnkd.in/dviGffH
6. Separate exploration and production development, and develop production code using test-driven development (TDD)
-> https://lnkd.in/dMn-s32
#machinelearning #datascience #supervisedlearning #business
✴️ @AI_Python_EN
Need to be familiar with python? here’s selected guides
Before start to code, is good to know some implementation machine learning in business and the end goal
✅ Step 1. Understand Data Science Implementation
https://lnkd.in/fMHtxYP
✅ Step 2. Understand what business want
https://lnkd.in/f396Dqg
✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM
✅ Step 5
Some Machine Learning Project (On Marketing you can start)
https://lnkd.in/fUDGAQW
Now, Here’s some guides on python
1. Python Knowlege for Interview https://lnkd.in/fr_rXY8
2. Data Cleansing with Python https://lnkd.in/f8WNGAp
3. Pandas Visual Cheatsheet https://lnkd.in/fCHYexn
4. Complete python cheatsheet for beginner https://lnkd.in/f6NBqSt
#business #machinelearning
✴️ @AI_Python_EN
Before start to code, is good to know some implementation machine learning in business and the end goal
✅ Step 1. Understand Data Science Implementation
https://lnkd.in/fMHtxYP
✅ Step 2. Understand what business want
https://lnkd.in/f396Dqg
✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM
✅ Step 5
Some Machine Learning Project (On Marketing you can start)
https://lnkd.in/fUDGAQW
Now, Here’s some guides on python
1. Python Knowlege for Interview https://lnkd.in/fr_rXY8
2. Data Cleansing with Python https://lnkd.in/f8WNGAp
3. Pandas Visual Cheatsheet https://lnkd.in/fCHYexn
4. Complete python cheatsheet for beginner https://lnkd.in/f6NBqSt
#business #machinelearning
✴️ @AI_Python_EN
Deep Learning Has Limits. But Its Commercial Impact Has Just Begun.
Rob Toews, Forbes: https://lnkd.in/e6MS8tu
#ArtificialIntelligence #Business #DeepLearning
Rob Toews, Forbes: https://lnkd.in/e6MS8tu
#ArtificialIntelligence #Business #DeepLearning
Forbes
Deep Learning Has Limits. But Its Commercial Impact Has Just Begun.
Deep learning may be bumping up against conceptual limits as a model of intelligence, but opportunities to apply it to transform industries and enact massive real-world change still abound.