A simple notebook to remove the background of objects using Mask R-CNN

By Zaid Alyafeai: https://lnkd.in/exr7yWi

#artificialinteligence #deeplearning #machinelearning #tensorflow

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🗣 @AI_Python_Arxiv

Ten Simple Rules for Reproducible Research in Jupyter Notebooks

Rule et al.: https://lnkd.in/efWmkyi

#BigData #ComputerScience #DataScience #MachineLearning

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🗣 @AI_Python_arXiv
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Tuning Machine Learning Hyperparameters

https://heartbeat.fritz.ai/tuning-machine-learning-hyperparameters-40265a35c9b8

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🗣 @AI_Python_arXiv
✴️ @AI_Python

if you're going to start a #ML services startup, make it about data collection and labelling. This is main pain point, and where the most value can be unlocked.

❇️ @AI_Python_EN
🗣 @AI_Python_arXiv
✴️ @AI_Python

A Concise Handbook of TensorFlow (https://tf.wiki ) Online book for those who already knows #ML / #DL theories and want to focus on learning #TensorFlow itself

https://tf.wiki/en/preface.html

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🗣 @AI_Python_arXiv
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The International Conference on #Probabilistic Programming Talks from the #PROBPROG 2018 #Conference, held at the MIT Media Lab in Cambridge

https://www.youtube.com/playlist?list=PL_PW0E_Tf2qvXBEpl10Y39RULTN-ExzZQ



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🗣 @AI_Python_arXiv
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rlkit – Reinforcement learning framework and algorithms implemented in #PyTorch

https://github.com/vitchyr/rlkit

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🗣 @AI_Python_arXiv
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videos of #NeurIPS2018 invited talks: https://videos.videoken.com/index.php/videoscategory/neurips-2018/ … videos of more sessions here: https://www.facebook.com/pg/nipsfoundation/videos

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🗣 @AI_Python_arXiv
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How to Clone a Partition or Hard drive in #Linux https://www.tecmint.com/clone-linux-partitions/

❇️ @AI_Python_EN
🗣 @AI_Python_arXiv
✴️ @AI_Python

Interested in research on the interface of #evolution, systems and molecular #biology, #mathematics, and #statistics? Apply now to join the Evolutionary Dynamics lab IGCiencia as a postdoc, programmer, or PhD student! https://evoldynamics.org/positions Please spread the word!

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🗣 @AI_Python_arXiv
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share white paper on Dopamine, #RL framework. got lots of positive feedback at #NeurIPS2018 ,

https://arxiv.org/abs/1812.06110 https://github.com/google/dopamine

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🗣 @AI_Python_arXiv
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#Programming
👇 It is a painful thing, to look at your own trouble and know that you yourself and no one else has made it. ~Sophocles Debugging #software includes:
👉Control flow analysis
👉Unit | integration testing
👉Log file analysis
👉Monitoring
👉Memory dumps
👉Profiling

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🗣 @AI_Python_arXiv
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3 reasons why #Coding (specifically, #Python) Should Become Your Official Corporate Language:

1)Teaches to think and solve problems.

2)Teaches the principles of Open-Source.

3)Teaches to work collaboratively.

https://bit.ly/2z3Qp2A #abdsc #DataScience #DataScientists
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🗣 @AI_Python_arXiv
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Copying an element from a photo and pasting it into a painting. Main idea is a modification of the VGG style transfer technique. Fun results.

Paper:
https://arxiv.org/pdf/1804.03189v3.pdf
Code:
https://github.com/luanfujun/deep-painterly-harmonization

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🗣 @AI_Python_arXiv
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The Netflix Data War

https://simplystatistics.org/2018/12/19/the-netflix-data-war/

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🗣 @AI_Python_arXiv
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The Relationship Between #MachineLearning and #AI

- Machine Learning exists without AI
- AI exists without Machine Learning
- New AI embeds Machine Learning
- Machine Learning rarely uses AI You

got all that? 🤓

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🗣 @AI_Python_arXiv
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Why are freshers not getting a job? 🤷‍♂️🤷‍♀️

I have tried to list down the top 3 reasons, as per my understanding. Would love to know as to how you would rank each one of them, in order of seriousness.

Example: If you find B to be the biggest reason, followed by A and C, your answer should be "BAC".

Also, if you find a reason deserving a place in the top 3, do mention the same.

❇️ @AI_Python_EN
🗣 @AI_Python_arXiv
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Which #MachineLearning #Algorithm To Choose For My Problem ? 👇 Linear Regression? Decision Tree? Random Forest? Boosting? SVM? #NeuralNetworks? K-Means? or OC-SVM?
👉https://buff.ly/2qNEge1

#AI #DeepLearning #BigData #DataScience

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10 Exciting Ideas of 2018 in NLP

A collection of 10 exciting and impactful ideas in 2018, by Sebastian Ruder: https://lnkd.in/ebb2Qix

#artificialinteligence #deeplearning #machinelearning #NLP #unsupervisedlearning


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Randy Lao:

When you want to explain something use Statistics.

When you want to predict something use Machine Learning.

#datascience #machinelearning

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#Deep Reinforcement Learning (John Schulman, OpenAI)

#RL


https://medium.com/@SeoJaeDuk/archived-post-deep-reinforcement-learning-john-schulman-openai-b6f8141f475c

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🗣 @AI_Python_arXiv
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