Deeplearning API that converts handwritten math equations to LaTeX
#Deeplearning #machinelearning
http://docs.mathpix.com/
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Working With Numpy Matrices: A Handy First Reference http://buff.ly/2m8XgQ8 #Python #Analytics #MachineLearning
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Free Online Books Explaining #BigData, #MachineLearning, #Blockchain and More #IBM http://buff.ly/2mbnbHD

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Curated papers, articles, and blogs on data science & machine learning in production
#machinelearning #beginner #papers

https://github.com/eugeneyan/applied-ml
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Free open source draft of Machine Learning Interviews book by a Stanford ML professor
#freebook #machinelearning #interviews #beginner

https://huyenchip.com/ml-interviews-book/
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A friendly introduction to machine learning compilers and optimizers

https://huyenchip.com/2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html

#beginner #datascience #machinelearning

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Data Scientist, Data Engineer & Other Data Careers, Explained

https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html

#datascience #machinelearning

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Math for Machine Learning
#maths #machinelearning

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Good repository of ML notes

#beginner #datascience #machinelearning

https://chrisalbon.com/

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The Most In-Demand Skills for Data Scientists in 2021
#beginner #datascience #machinelearning

https://www.kdnuggets.com/2021/04/most-demand-skills-data-scientists.html

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Probabilistic Machine Learning - Philipp Henning 2021

Summer Term 2021 at the University of Tübingen.
YouTube Playlist topics covering probabilistic ML topics Gaussian Distributions, Markov Chain Montecarlo etc..
🎥🔗LINK🔗
🖥Slides: LINK

#freecourse #machinelearning #university

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All the Made With ML fundamentals & MLOps lessons are released!

- ✅ 47 lessons, 100% free
- 🏆 26K+ GitHub ⭐️
- ❤️ 30K+ community
- 🛠 Project-based
- 💻 Intuition & application (code)


https://madewithml.com/


Who is this course for?
- 💻 Software engineers / Data scientists looking to learn how to responsibly create ML systems.
- 🎓 College grads looking to learn the practical skills they'll need for the industry.
- 🚀 Product Managers who want to develop a technical foundation.
#freecourse #machinelearning #mlops

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Important machine learning concepts through visual essays in a fun, informative, and accessible manner by Amazon

#machinelearning #beginners

https://mlu-explain.github.io/

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A classification model using KNN algorithm to identify correct labels based on the fashion images. Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples.

Each example is a 28x28 grayscale image, associated with a label from 10 classes. Each training and test example is assigned to one of the following labels: T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot.

#machinelearning #ml #classification #zalando #fashion #tech

Credit: Fazil Mohammed


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The Evolution of Netflix ML Technology!

Netflix strives to give recommendations that are relevant to our subscribers' interests, and they rely on Machine Learning (ML) methods to accomplish this. 


However, ML algorithms are only as good as the data we feed them. Axion fact store is a component of the Machine Learning Platform, which serves machine learning needs across Netflix. The blog concentrates on the vast number of high-quality data kept in Axion, our fact store used to compute ML features offline. 

Axion was created largely to reduce any training-serving bias and to accelerate offline experimentation.

The image below depicts how Axion interacts with Netflix's ML platform. The whole ML platform comprises tens of components, and the figure below only illustrates a subset of them.  More information is available at Read here


#artificialintelligence #machinelearning #datascience #innovation #technology

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