Siga vídeos curtos conduzidos por instrutores especializados e pratique o que aprendeu com exercícios interativos em seu navegador.
ou
Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados serão armazenados nos EUA.Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Learn how to approach and win competitions on Kaggle.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Learn how to work with streaming data using serverless technologies on AWS.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Learn how to write recursive queries and query hierarchical data structures.
In this course youll learn how to perform inference using linear models.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
In this course youll learn techniques for performing statistical inference on numerical data.
Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.
Use survival analysis to work with time-to-event data and predict survival time.
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Learn to build pipelines that stand the test of time.
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
In this course youll learn how to leverage statistical techniques for working with categorical data.
Learn to process sensitive information with privacy-preserving techniques.
Learn how to tune your models hyperparameters to get the best predictive results.