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Song stuck in your head? Just hum to search:
https://blog.google/products/search/hum-to-search
#Python World
https://blog.google/products/search/hum-to-search
#Python World
AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
https://www.technologyreview.com/2020/11/03/1011616/ai-godfather-geoffrey-hinton-deep-learning-will-do-everything/?utm_medium=tr_social&utm_campaign=site_visitor.unpaid.engagement&utm_source=Facebook&fbclid=IwAR2KvuQHie7UPdYBLwYbsElxI9Pwl7t_xUrUzYmJbdmXAMleKa_JAc8WV8o#Echobox=1604378142
https://www.technologyreview.com/2020/11/03/1011616/ai-godfather-geoffrey-hinton-deep-learning-will-do-everything/?utm_medium=tr_social&utm_campaign=site_visitor.unpaid.engagement&utm_source=Facebook&fbclid=IwAR2KvuQHie7UPdYBLwYbsElxI9Pwl7t_xUrUzYmJbdmXAMleKa_JAc8WV8o#Echobox=1604378142
MIT Technology Review
AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
Thirty years ago, Hinton’s belief in neural networks was contrarian. Now it’s hard to find anyone who disagrees, he says.
UC Berkeley researchers detect ‘silent speech’ with electrodes and AI
https://venturebeat.com/2020/11/24/uc-berkeley-researchers-detect-silent-speech-with-electrodes-and-ai/?fbclid=IwAR3kd6ZIsPw0gGjetTunLa_n52JG9UHHWFsz2bcneFOpowjagKNF4_RuuRE
https://venturebeat.com/2020/11/24/uc-berkeley-researchers-detect-silent-speech-with-electrodes-and-ai/?fbclid=IwAR3kd6ZIsPw0gGjetTunLa_n52JG9UHHWFsz2bcneFOpowjagKNF4_RuuRE
Coursera Courses (Free)
100 online courses from Coursera are $0 now through December 31
#coursera #free #online
@pythonworld
https://www.coursera.org/promo/blackfriday2020?ranMID=40328&ranEAID=JphA7GkNpbQ&ranSiteID=JphA7GkNpbQ-.ah56jkxRZJ8ZwLuDeV0Bw&siteID=JphA7GkNpbQ-.ah56jkxRZJ8ZwLuDeV0Bw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JphA7GkNpbQ
100 online courses from Coursera are $0 now through December 31
#coursera #free #online
@pythonworld
https://www.coursera.org/promo/blackfriday2020?ranMID=40328&ranEAID=JphA7GkNpbQ&ranSiteID=JphA7GkNpbQ-.ah56jkxRZJ8ZwLuDeV0Bw&siteID=JphA7GkNpbQ-.ah56jkxRZJ8ZwLuDeV0Bw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JphA7GkNpbQ
Data Science Interview Preparation Day 1.pdf
950.2 KB
Data Science #Interview Preparation:
Day 1 Questions:
Q1. What is the difference between AI, Data Science, ML, and DL?
Q2. What is the difference between Supervised learning, Unsupervised learning and Reinforcement learning?
Q3. Describe the general architecture of Machine learning.
Q4. What is Linear Regression?
Q5. OLS Stats Model (Ordinary Least Square)
Q6. What is L1 Regularization (L1 = lasso) ?
Q7. L2 Regularization(L2 = Ridge Regression)
Q8. What is R square(where to use and where not)?
Q9. What is Mean Square Error?
Q10. Why Support Vector Regression? Difference between SVR and a simple regression model?
Python World
Day 1 Questions:
Q1. What is the difference between AI, Data Science, ML, and DL?
Q2. What is the difference between Supervised learning, Unsupervised learning and Reinforcement learning?
Q3. Describe the general architecture of Machine learning.
Q4. What is Linear Regression?
Q5. OLS Stats Model (Ordinary Least Square)
Q6. What is L1 Regularization (L1 = lasso) ?
Q7. L2 Regularization(L2 = Ridge Regression)
Q8. What is R square(where to use and where not)?
Q9. What is Mean Square Error?
Q10. Why Support Vector Regression? Difference between SVR and a simple regression model?
Python World
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The formula explains why the ratio of consecutive Fibonacci numbers tends to the golden ratio.