Data Science by ODS.ai π¦
π₯π₯π₯Tomorrow we will hold an AMA session with Alexey Moiseenkov β ex-founder of #Prisma app (2016), which made neural networks popular and commodity nowadays. Now he works on #Capture app, bringing power of visual search in attempt to revolutionize messagersβ¦
AMA today at 15:00 GMT (in 4 hours). In a couple of hours we will publish link to private chat for AMA session.
Stay tuned, prepare your questions. Please do not ask trivial and gramatically incorrect questions like 'where to start data science'.
First of all, use search, we have nice collections of resources for starting a DS career, tagged with #wheretostart #entrylevel #novice. Secondly, pay respect to our guest and ask questions more relevant to his area of experise.
Stay tuned, prepare your questions. Please do not ask trivial and gramatically incorrect questions like 'where to start data science'.
First of all, use search, we have nice collections of resources for starting a DS career, tagged with #wheretostart #entrylevel #novice. Secondly, pay respect to our guest and ask questions more relevant to his area of experise.
Simple comic on how #ML works from #Google
Make sure you save the link (or this message) to show it to people without great technical background for it is one of the best and clear explanations there is.
Link: https://cloud.google.com/products/ai/ml-comic-1/
#wheretostart #entrylevel #novice #explainingtochildren
Make sure you save the link (or this message) to show it to people without great technical background for it is one of the best and clear explanations there is.
Link: https://cloud.google.com/products/ai/ml-comic-1/
#wheretostart #entrylevel #novice #explainingtochildren
Google Cloud
Learning Machine Learning | Cloud AI | Google Cloud
Machine Learning Comic
Implementing Transfer Learning in PyTorch
Fine-tuning and feature extraction with PyTorch
Link: https://medium.com/analytics-vidhya/transfer-learning-in-pytorch-f7736598b1ed
#PyTorch #novice #entrylevel #beginner
Fine-tuning and feature extraction with PyTorch
Link: https://medium.com/analytics-vidhya/transfer-learning-in-pytorch-f7736598b1ed
#PyTorch #novice #entrylevel #beginner
Medium
Implementing Transfer Learning in PyTorch
Transfer Learning is a technique where a model trained for a certain task is used for another similar task.
All the vector algebra you need for understanding neural networks
Article contains great explanations and description of matrix calculus you need to know and understand to really grok neural networks.
Link: https://explained.ai/matrix-calculus/index.html
#WhereToStart #entrylevel #novice #base #DL #nn
Article contains great explanations and description of matrix calculus you need to know and understand to really grok neural networks.
Link: https://explained.ai/matrix-calculus/index.html
#WhereToStart #entrylevel #novice #base #DL #nn
explained.ai
The Matrix Calculus You Need For Deep Learning
Most of us last saw calculus in school, but derivatives are a critical part of machine learning, particularly deep neural networks, which are trained by optimizing a loss function. This article is an attempt to explain all the matrix calculus you need inβ¦
P-value, explained, one more time with demos
Article includes not only great explanation of what is #pvalue, but how it works and how it can be used to make a correct conclusions.
Link:https://www.freecodecamp.org/news/what-is-statistical-significance-p-value-defined-and-how-to-calculate-it/
#entrylevel #dsformanagers #tutorial #explained #interactive #statistics
Article includes not only great explanation of what is #pvalue, but how it works and how it can be used to make a correct conclusions.
Link:https://www.freecodecamp.org/news/what-is-statistical-significance-p-value-defined-and-how-to-calculate-it/
#entrylevel #dsformanagers #tutorial #explained #interactive #statistics
freeCodeCamp.org
What is Statistical Significance? P Value Defined and How to Calculate It
By Peter Gleeson P values are one of the most widely used concepts in statistical analysis. They are used by researchers, analysts and statisticians to draw insights from data and make informed decisions. Along with statistical significance, they are...
ββUltimate post on where to start learning DS
Most common request we received through the years was to share insights and advices on how to start career in data science and to recommend decent cources. Apparently, using hashtag #wheretostart wasn't enough so we were sharing some general advices.
So we assembled a through guide on how to start learning machine learning and created another #ultimatepost (in a form of a github repo, so it will be keep updated and anyone can submit worthy piece of advice to it).
We welcome you to share your stories and advices on how to start rolling into data science, as well as to spread the link to the repo to those your friends who might benefit from it.
Link: Ultimate post
#entrylevel #beginner #junior #MOOC #learndatascience #courses #mlcourse #opensource
Most common request we received through the years was to share insights and advices on how to start career in data science and to recommend decent cources. Apparently, using hashtag #wheretostart wasn't enough so we were sharing some general advices.
So we assembled a through guide on how to start learning machine learning and created another #ultimatepost (in a form of a github repo, so it will be keep updated and anyone can submit worthy piece of advice to it).
We welcome you to share your stories and advices on how to start rolling into data science, as well as to spread the link to the repo to those your friends who might benefit from it.
Link: Ultimate post
#entrylevel #beginner #junior #MOOC #learndatascience #courses #mlcourse #opensource
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