The 5 Feature Selection Algorithms every Data Scientist should know
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.https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2
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.https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2
The project is about predicting coronary heart disease by using three different ML algorithms
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https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585
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https://blog.goodaudience.com/heart-disease-prediction-aa656f2db585
Medium
heart disease prediction
The project is about predicting coronary heart disease by using three different ML algorithms.
Review: G-RMI — Winner in 2016 COCO Detection (Object Detection)
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.https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4
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.https://towardsdatascience.com/review-g-rmi-winner-in-2016-coco-detection-object-detection-af3f2eaf87e4
Medium
Review: G-RMI — Winner in 2016 COCO Detection (Object Detection)
A Guide to Select a Detection Architecture: Faster R-CNN, R-FCN and SSD
Review: FSRCNN (Super Resolution)
What Are Covered
1. Brief Review of SRCNNFSRCNN Network
2. ArchitectureExplanation of 1×1 Convolution Used in
3. Shrinking and Expanding
4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping
5. Ablation Study
6. Results
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.https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4
What Are Covered
1. Brief Review of SRCNNFSRCNN Network
2. ArchitectureExplanation of 1×1 Convolution Used in
3. Shrinking and Expanding
4. Explanation of Multiple 3×3 Convolutions in Non-Linear Mapping
5. Ablation Study
6. Results
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.https://towardsdatascience.com/review-fsrcnn-super-resolution-80ca2ee14da4
Medium
Review: FSRCNN (Super Resolution)
This time, FSRCNN, by CUHK, is reviewed. In this paper, a real-time super resolution approach is proposed. Fast Super-Resolution…
How to Deal with Imbalanced Data using SMOTE - Analytics Vidhya - Medium
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.https://medium.com/analytics-vidhya/balance-your-data-using-smote-98e4d79fcddb
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.https://medium.com/analytics-vidhya/balance-your-data-using-smote-98e4d79fcddb
Medium
How to Deal with Imbalanced Data using SMOTE
With a Case Study in Python
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
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.https://medium.com/analytics-vidhya/python-implementation-of-andrew-ngs-machine-learning-course-part-1-6b8dd1c73d80
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.https://medium.com/analytics-vidhya/python-implementation-of-andrew-ngs-machine-learning-course-part-1-6b8dd1c73d80
Medium
Python Implementation of Andrew Ng’s Machine Learning Course (Part 1)
A few months ago I had the opportunity to complete Andrew Ng’s Machine Learning MOOC taught on Coursera. It serves as a very good…
Automatically finding the best Neural Network for your GAN
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.https://towardsdatascience.com/automatically-finding-the-best-neural-network-for-your-gan-c0b97a5949f2
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.https://towardsdatascience.com/automatically-finding-the-best-neural-network-for-your-gan-c0b97a5949f2
Medium
Automatically finding the best Neural Network for your GAN
Generative Adversarial Networks (GANs) have been a hot topic in Deep Learning ever since their initial invention and publication at NIPS…
Vid2Vid — Conditional GANs for Video-to-Video Synthesis
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.https://neurohive.io/en/state-of-the-art/vid2vid-conditional-gans-for-video-to-video-synthesis/
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.https://neurohive.io/en/state-of-the-art/vid2vid-conditional-gans-for-video-to-video-synthesis/
neurohive.io
Vid2Vid Explaination - Conditional GANs for Video-to-Video Synthesis
Vid2Vid is able to synthesize high-resolution, temporally coherent videos on a diverse set of input formats including segmentation masks, sketches, poses.
Python Projects with Source Code - Practice Top Projects in Python - DataFlair
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.https://data-flair.training/blogs/python-projects-with-source-code/
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.https://data-flair.training/blogs/python-projects-with-source-code/
DataFlair
100+ Python Projects with Source Code - DataFlair
Python projects with source code - Work on the top Python projects to gain practical exposure and become a Python professional.
100 Free Data Science Books
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.https://www.learndatasci.com/free-data-science-books/
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.https://www.learndatasci.com/free-data-science-books/
Learndatasci
100+ Free Data Science Books
High energy: Facebook's AI guru LeCun imagines AI's next frontier
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.https://www.zdnet.com/google-amp/article/high-energy-facebooks-ai-guru-lecun-imagines-ais-next-frontier/?fbclid=IwAR1fnUHFVFeDyPNJI3SGZuSnvJrhJ0qrdOXMkaK14phkI5wcENDZixps5vw
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.https://www.zdnet.com/google-amp/article/high-energy-facebooks-ai-guru-lecun-imagines-ais-next-frontier/?fbclid=IwAR1fnUHFVFeDyPNJI3SGZuSnvJrhJ0qrdOXMkaK14phkI5wcENDZixps5vw
ZDNET
High energy: Facebook's AI guru LeCun imagines AI's next frontier
The next evolution in artificial intelligence may be a matter of dispensing with all the probabilistic tricks of deep learning, mastering instead a manifold of shifting energy values, according to deep learning's pied piper, Yann LeCun.
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The 5 Algorithms for Efficient Deep Learning Inference on Small Devices
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.https://heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
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.https://heartbeat.fritz.ai/the-5-algorithms-for-efficient-deep-learning-inference-on-small-devices-bcc2d18aa806
Medium
The 5 Algorithms for Efficient Deep Learning Inference on Small Devices
Pruning, compression, quantization, and more
List of Top Blogs on Artificial Intelligence
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1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/
2.Adrian Rosebrock
https://www.pyimagesearch.com/
3. AI Trends
https://www.aitrends.com/
4. Algorithmia
https://blog.algorithmia.com/
5. AITopics (An official publication of the AAAI.)
https://aitopics.org/search
6. Open AI
https://openai.com/
7. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2
8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started
9. C T Vision
https://ctovision.com/
10. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/
11. Machine Intelligence Research Institute (MIRI)
https://intelligence.org/blog/
12. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/
13. 33 rd square
https://www.33rdsquare.com/
14. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/
15. Machine Learnings
https://machinelearnings.co/
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@DeepLearning_AI
1. Machine Learning Mastery by Jason Brownlee
https://machinelearningmastery.com/about/
2.Adrian Rosebrock
https://www.pyimagesearch.com/
3. AI Trends
https://www.aitrends.com/
4. Algorithmia
https://blog.algorithmia.com/
5. AITopics (An official publication of the AAAI.)
https://aitopics.org/search
6. Open AI
https://openai.com/
7. MIT AI Blog
http://news.mit.edu/topic/artificial-intelligence2
8. Andreessen Horowitz
http://aiplaybook.a16z.com/docs/intro/getting-started
9. C T Vision
https://ctovision.com/
10. Chatbots Magazine (The #1 place to learn about chatbots.)
https://chatbotsmagazine.com/
11. Machine Intelligence Research Institute (MIRI)
https://intelligence.org/blog/
12. Chatbots Life
(Best Place to Learn About Bots)
https://chatbotslife.com/
13. 33 rd square
https://www.33rdsquare.com/
14. Artificial Intelligence Blogs
https://www.artificial-intelligence.blog/news/
15. Machine Learnings
https://machinelearnings.co/
👍2
Real time Shape Detection using Contours [9] | OpenCV Python Tutorials for Beginners 2019
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https://youtu.be/Fchzk1lDt7Q
useful Links:
OpenCV Python Tutorial Playlist:
https://www.youtube.com/watch?v=CJXIj...
How to install Opencv in Python:
https://youtu.be/CJXIjApHYVs
Real time color Detection:
https://youtu.be/Tj4zEX_pdUg
5 Must Know OpencCV Functions:
https://youtu.be/7kHhz7nkpBw
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@DeepLearning_AI
https://youtu.be/Fchzk1lDt7Q
useful Links:
OpenCV Python Tutorial Playlist:
https://www.youtube.com/watch?v=CJXIj...
How to install Opencv in Python:
https://youtu.be/CJXIjApHYVs
Real time color Detection:
https://youtu.be/Tj4zEX_pdUg
5 Must Know OpencCV Functions:
https://youtu.be/7kHhz7nkpBw
YouTube
Real time Shape Detection using Contours [9] | OpenCV Python Tutorials for Beginners 2020
In this video, we will learn how to detect the shapes of objects by finding their contours. Contours are basically outlines that bound the shape or form of a...
Detecting Natural Disasters with Keras and Deep Learning (with source code)
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.https://www.pyimagesearch.com/2019/11/11/detecting-natural-disasters-with-keras-and-deep-learning/
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@DeepLearning_AI
.https://www.pyimagesearch.com/2019/11/11/detecting-natural-disasters-with-keras-and-deep-learning/
PyImageSearch
Detecting Natural Disasters with Keras and Deep Learning - PyImageSearch
In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning.
AI Scholar
Top Research This Week
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.https://mail.google.com/mail/u/0/?ui=2&view=btop&ver=1nj101dboqm98&search=inbox&th=%23thread-f%3A1649923672453948669&cvid=7
Top Research This Week
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.https://mail.google.com/mail/u/0/?ui=2&view=btop&ver=1nj101dboqm98&search=inbox&th=%23thread-f%3A1649923672453948669&cvid=7