Kategoria
Tematy
Samouczki z uczenia maszynowego
Poznaj wskazówki i dobre praktyki dotyczące AI i uczenia maszynowego, rozwijaj kompetencje i buduj kulturę pracy z danymi. Dowiedz się z naszych samouczków, jak maksymalnie wykorzystać modele uczenia maszynowego.
Inne tematy:
Szkolenie 2 lub więcej osób?Wypróbuj DataCamp for Business
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
6 czerwca 2018
Random Forest Classification in Python With Scikit-Learn: Step-by-Step Guide (with Code Examples)
This article covers how and when to use random forest classification with scikit-learn, focusing on concepts, workflow, and examples. We also cover how to use the confusion matrix and feature importances.
3 marca 2026
Demystifying Generative Adversarial Nets (GANs)
Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
9 maja 2018
Absolute and Weighted Frequency of Words in Text
In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
24 kwietnia 2018
A Beginner's Guide to Object Detection
Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
19 kwietnia 2018
K-Means Clustering in R Tutorial
Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
21 marca 2023
Feature Selection in R with the Boruta R Package
Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
7 marca 2018
Ensemble Learning in R with SuperLearner
Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
20 lutego 2018
Active Learning: Curious AI Algorithms
Discover active learning, a case of semi-supervised machine learning: from its definition and its benefits, to applications and modern research into it.
9 lutego 2018
Lyric Analysis with NLP & Machine Learning with R
Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
2 lutego 2018
Transfer Learning: Leverage Insights from Big Data
In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.
19 stycznia 2018
Machine Learning with Kaggle: Feature Engineering
Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!
10 stycznia 2018