Forwarded from DataFlair
PYTHON for DATA SCIENCE
A Match made in Heaven 🔥💯🔝🤩👍🏻
https://data-flair.training/blogs/learn-python-for-data-science/
A Match made in Heaven 🔥💯🔝🤩👍🏻
https://data-flair.training/blogs/learn-python-for-data-science/
DataFlair
Learn Python for Data Science - 9 Essential Steps to become a Python developer - DataFlair
Learn Python for Data Science - Get ready to plan your journey of becoming a Python expert with DataFlair.
Forwarded from Machinelearning
Computer Vision using Tensorflow
https://levelup.gitconnected.com/computer-vision-using-tensorflow-946718d3c123
Full Code can be found on my Github
https://levelup.gitconnected.com/computer-vision-using-tensorflow-946718d3c123
Full Code can be found on my Github
Medium
Computer Vision using Tensorflow
Giving computers the ability to see through Machine Learning
Forwarded from Machinelearning
Extracting the main trend in a dataset: the Sequencer algorithm
The Sequencer is an algorithm that attempts to reveal the main sequence in a dataset, if it exists.
http://sequencer.org/
Github: https://github.com/dalya/Sequencer
Paper: https://arxiv.org/abs/2006.13948v1
The Sequencer is an algorithm that attempts to reveal the main sequence in a dataset, if it exists.
http://sequencer.org/
Github: https://github.com/dalya/Sequencer
Paper: https://arxiv.org/abs/2006.13948v1
Forwarded from DataFlair
Is Artificial Intelligence really gonna overpower Human Intelligence? 🤔❓🤷🏻♂️💯
https://data-flair.training/blogs/will-ai-replace-humans/
https://data-flair.training/blogs/will-ai-replace-humans/
DataFlair
Will AI replace Humans - Artificial Intelligence vs Human Intelligence - DataFlair
Will AI replace humans - Will human intelligence win the battle against Artificial intelligence or will AI lead the man power. Impact of AI on human.
Forwarded from Data Science by ODS.ai 🦜
(Re)Discovering Protein Structure and Function Through Language Modeling
Trained solely on unsupervised language modeling, the Transformer's attention mechanism recovers high-level structural (folding) and functional properties of proteins!
Why this is important: traditional protein modelling requires lots of computational power. This might be a key to more efficient structure modelling. Protein structure => function. Function => faster drug research and understanding of diseases mechanisms.
Blog: https://blog.einstein.ai/provis/
Paper: https://arxiv.org/abs/2006.15222
Code: https://github.com/salesforce/provis
#DL #NLU #proteinmodelling #bio #biolearning #insilico
Trained solely on unsupervised language modeling, the Transformer's attention mechanism recovers high-level structural (folding) and functional properties of proteins!
Why this is important: traditional protein modelling requires lots of computational power. This might be a key to more efficient structure modelling. Protein structure => function. Function => faster drug research and understanding of diseases mechanisms.
Blog: https://blog.einstein.ai/provis/
Paper: https://arxiv.org/abs/2006.15222
Code: https://github.com/salesforce/provis
#DL #NLU #proteinmodelling #bio #biolearning #insilico
Forwarded from Machinelearning
9 Key Machine Learning Algorithms Explained in Plain English
https://www.freecodecamp.org/news/a-no-code-intro-to-the-9-most-important-machine-learning-algorithms-today/
https://www.freecodecamp.org/news/a-no-code-intro-to-the-9-most-important-machine-learning-algorithms-today/
freeCodeCamp.org
9 Key Machine Learning Algorithms Explained in Plain English
By Nick McCullum Machine learning is changing the world. Google uses machine learning to suggest search results to users. Netflix uses it to recommend movies for you to watch. Facebook uses machine learning to suggest people you may know. Machine lea...
Forwarded from Machinelearning
Calculus.pdf
38.8 MB
Free MIT Courses and book on Calculus: The Key to Understanding Deep Learning
Course: https://ocw.mit.edu/resources/res-18-005-highlights-of-calculus-spring-2010/
@ai_machinelearning_big_data
Course: https://ocw.mit.edu/resources/res-18-005-highlights-of-calculus-spring-2010/
@ai_machinelearning_big_data
Forwarded from Science in telegram
How Gödel’s Proof Works
Every mathematical system will have some statements that can never be proved.
Read article here
His incompleteness theorems destroyed the search for a mathematical theory of everything. Nearly a century later, we’re still coming to grips with the consequences. Every mathematical system will have some statements that can never be proved.
Read article here
Forwarded from DataFlair
AN AMAZING PYTHON DJANGO PROJECT
Time to Master the Art of Web Development 🔥✅💯🔝
https://data-flair.training/blogs/django-project-news-aggregator-app/
Time to Master the Art of Web Development 🔥✅💯🔝
https://data-flair.training/blogs/django-project-news-aggregator-app/
DataFlair
Python Django Project - Learn to Build your own News Aggregator Web App - DataFlair
Django Project on News Aggregator Web App - Learn to build a news aggregator application by using requests module & BeautifulSoup libraries and following some easy steps.
Forwarded from Machinelearning
DeText: A Deep Neural Text Understanding Framework
DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
@ai_machinelearning_big_data
DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Github: https://github.com/linkedin/detext
Paper: https://arxiv.org/abs/2008.02460v1
@ai_machinelearning_big_data
Forwarded from Machinelearning
Plot a Decision Surface for Machine Learning Algorithms in Python
https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
@ai_machinelearning_big_data
https://machinelearningmastery.com/plot-a-decision-surface-for-machine-learning/
@ai_machinelearning_big_data
MachineLearningMastery.com
Plot a Decision Surface for Machine Learning Algorithms in Python - MachineLearningMastery.com
Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows…
Forwarded from Machinelearning
📗 Forward from the 'Deep Learning for Coders' Book
Post: https://www.fast.ai/2020/08/20/soumith-forward/
Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb
Github: https://github.com/fastai/fastbook
@ai_machinelearning_big_data
Post: https://www.fast.ai/2020/08/20/soumith-forward/
Free Book in Jupiter: https://github.com/fastai/fastbook/blob/master/01_intro.ipynb
Github: https://github.com/fastai/fastbook
@ai_machinelearning_big_data
