The Netflix Data War

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

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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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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.

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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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Deep RL Bootcamp

By Pieter Abbeel, Rocky Duan, Peter Chen, Andrej Karpathy et al.: https://lnkd.in/edFXgDP

#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #ReinforcementLearning


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Tell Your Kids … Learn Python (and JavaScript), Use a R-PI, And Fire Up Linux

https://medium.com/asecuritysite-when-bob-met-alice/tell-your-kids-learn-python-and-javascript-use-a-r-pi-and-fire-up-linux-1ca2e44d17f

#python

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Top Python Libraries, by GitHub Stars and Contributors. Shape size is proportional to number of commits.

#python

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here are several machine learning algorithms industry has in place.

Here is a simple #MachineLearning #Algorithm Matrix organized by Type, Class, Restriction Bias and Preference Bias.

#artificialintelligence #matrix #deeplearning

Source: https://lnkd.in/dHGCjh8

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Deep Paper Gestalt

"Experimental results show that our classifier can safely reject 50% of the bad papers while wrongly reject only 0.4% of the good papers, and thus dramatically reduce the workload of the reviewers."

GitHub: https://lnkd.in/epwDePX

#artificialinteligence #deeplearning #machinelearning

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Super cool news from Zalando Research. The new version 0.4 of flair, a very simple framework for state-of-the-art NLP, includes BERT, ELMo, Flair word embeddings and also many pre-trained multilingual models. Now it's even easier to do named entity recognition, part-of-speech tagging etc with state of the art models. Check it out!
#deeplearning #machinelearning #NLP

Github: https://lnkd.in/d5B42ac


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Happy Yalda Night 🍉 🤗

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Library for training machine learning models with privacy for training data

TensorFlow Privacy: https://lnkd.in/e4VxTPw

#machinelearning #privacy #tensorflow

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Many problems in physical and biological sciences as well as engineering rely on our ability to monitor objects or processes at nano-scale, and fluorescence microscopy has been used for decades as one of our most useful information sources, leading to various discoveries about the inner workings of nano-scale processes, for example at the sub-cellular level. Imaging of such nano-scale objects often requires rather expensive and delicate instrumentation, also known as nanoscopy tools, which can only be accessed by professionals in well-resourced labs.

The technique transforms low-resolution images from a fluorescence microscope
(a) into super-resolution images
(b) that compare favorably with those from high-resolution equipment
(c). Images show sub-cellular proteins within a cell, and different panels correspond to different observation times.
https://lnkd.in/drbW2P2

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Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native

By Facebook Artificial Intelligence Research (FAIR): https://lnkd.in/edf6qkV

#ArtificialIntelligence #Research

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OpenCV on Android = Compact size and Optimized (pick the modules that matters to you), build your own SDK for Android.

If you choose OpenCV for production, your primary goal is to bring down the size of the library and also make it performance packed. OpenCV is an awesome library with tons of algorithms but you must be using a very small subset of these algorithm in your application, hence it makes perfect sense to include what is required and leave out the rest.

#opencv #opensourcesoftware #android #computervision

https://medium.com/@tomdeore/opencv-on-android-tiny-with-optimization-enabled-932460acfe38

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How to use TensorFlow Hub with code examples?

https://medium.com/ymedialabs-innovation/how-to-use-tensorflow-hub-with-code-examples-9100edec29af

#TensorFlow #ArtificialIntelligence

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Year-in-Review: 2018 AI Index Report Out! – SyncedReview – Medium

#opencv #opensourcesoftware #android #computervision #TensorFlow #ArtificialIntelligence #machinelearning

https://medium.com/syncedreview/year-in-review-2018-ai-index-report-out-80880d9241a4

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🗒Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks.
📗PDF

#arXiv
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