optuna.org
A hyperparameter optimization framework
1 min · · Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. · Shared by 7, including Emerson Macedo, Nico Müller 🇺🇦
Udemy
The Data Science Course 2019: Complete Data Science Bootcamp
· Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning · Shared by 4, including Emerson Macedo
toolbox.google.com
Dataset Search
· Shared by 236, including Aleyda Solis 🇺🇦, Kevin_Indig, Ryan R. Rosario, fernand0, Bernardo Mannelli, Emerson Macedo, Nando 💪🇦🇺🇦🇷, Thomas Telandro, Data Science Renee, Clemens M. Schuster, Jennifer Slegg, Frank, ∬ Nazif Berat, Michael Musgrove, René Clausen Nielsen, Mark Kaigwa, Scott Williams, Merkstatt@troet.cafe 📯, Google Webmasters, Grégoire Japiot 🌻
dataaspirant.com
collaborative filtering recommendation engine implementation in python
19+ min · · Collaborative Filtering In the introduction post of recommendation engine, we have seen the need of recommendation engine in real life as well as the importance of recommendation engine in online and finally we have discussed 3 methods of recommendation engine. They are: 1) Collaborative filtering 2) Content-based filtering 3) Hybrid Recommendation Systems So today+ Read More · Shared by 5, including Emerson Macedo
dataaspirant.com
Five most popular similarity measures implementation in python
14+ min · · The most popular similarity measures implementation in python.These are Euclidean distance, Manhattan, Minkowski distance,cosine similarity and lot more. · Shared by 6, including Emerson Macedo
techtudo.com.br
Como cadastrar a CNH Digital direto pelo celular
5 min · · Processo dispensa ida ao posto do Detran para validar o documento · Shared by 4, including Emerson Macedo
greycampus.com
Different types of classifiers
2 min · · There are different types of classifiers, a classifier is an algorithm that maps the input data to a specific category. Now, let us take a look at the different types of classifiers: Perceptron Naive… · Shared by 4, including Emerson Macedo
medium.com
Parallelisation In Python — An Alternative Approach
6 min · · One of the biggest, ever-present banes of a data scientist’s life is the constant wait for the data processing code to finish executing… · Shared by 10, including Emerson Macedo
timdettmers.com
A Full Hardware Guide to Deep Learning — Tim Dettmers
14+ min · · In this guide I analyse hardware from CPU to SSD and their impact on performance for deep learning so that you can choose the hardware that you really need. · Shared by 10, including Emerson Macedo
medium.com
Use Multi-Core Processing to Train Your Models Faster
6 min · · In data science, having a large amount of data is both a gift and a curse. While having more data generally means that we will get a model… · Shared by 4, including Emerson Macedo
paulovasconcellos.com.br
Os 7 melhores sites para encontrar datasets para projetos de Data Science
4 min · · Ter um bom dataset é meio caminho andado no seu projeto de Ciência de Dados. confira os melhores locais para achar o seu. · Shared by 5, including Emerson Macedo
FiveThirtyEight
Our Data
12+ min · · We’re sharing the data and code behind some of our articles and graphics. · Shared by 87, including Nico Müller 🇺🇦, Joona Tuunanen 🇫🇮, Simon Rogers, Mark Kaigwa, Mathew Ingram, Emerson Macedo, junseth (All retweets are endorsements), Tibor Martini 🇺🇦 @tibor@mastodon.social, Kanyi Maqubela, @shirley@vis.social, Cameron Yick ~ @hydrosquall@vis.social on mastodon, Oscar MacDonald, Chintan Shah