optuna.org
A hyperparameter optimization framework
1 min read · From 2019 · Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.
Reader View · Shared by 7, including Emerson Macedo, Nico Müller 🇺🇦
Udemy
The Data Science Course 2019: Complete Data Science Bootcamp
From 2019 · 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
From 2018
Shared by 210, including Aleyda Solis 🇺🇦, Ryan Rosario, Jennifer Slegg, fernand0, Bernardo Mannelli, Emerson Macedo, Nando 💪🇦🇺🇦🇷, Thomas Telandro, Data Science Renee, Clemens M. Schuster, David Bauer, Frank Cieslik, Michael Musgrove, ∬ Nazif Berat, René Clausen Nielsen, Mark Kaigwa, Scott Williams, Merkstatt, Google Webmasters, Grégoire Japiot 🌻
dataaspirant.com
collaborative filtering recommendation engine implementation in python
~19 min read · From 2018 · 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 read · From 2018 · 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 read · From 2019 · 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 read · From 2019 · 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 read · From 2018 · 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…
Reader View · Shared by 10, including Emerson Macedo
timdettmers.com
A Full Hardware Guide to Deep Learning — Tim Dettmers
~14 min read · From 2019 · 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.
Reader View · Shared by 10, including Emerson Macedo
medium.com
Use Multi-Core Processing to Train Your Models Faster
6 min read · From 2019 · 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 read · From 2019 · 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 read · From 2018 · We’re sharing the data and code behind some of our articles and graphics.
Reader View · Shared by 87, including Nico Müller 🇺🇦, Cameron Yick, Simon Rogers, David Bauer, Mathew Ingram, Chintan Shah, junseth (All retweets are endorsements), Tibor Martini 🇺🇦, Mark Kaigwa, Kanyi Maqubela, Shirley Wu 吴雪扬 | BLM, Emerson Macedo, Oscar MacDonald, Joona Tuunanen 🇫🇮
