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Artificial Intelligence
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Web Design
Learn Like a Pro: Science-Based Tools to Become Better at Anything
Paleontology: Theropod Dinosaurs and the Origin of Birds
Introduction to Complexity
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Aprenda a criar uma assinatura de e-mail profissional e personalizada no Gmail, incluindo layout em colunas, foto, links clicáveis e Ãcones de redes sociais.
Discover strategies to create a standout data science resume, including key sections, impactful bullet points, and additional ways to differentiate yourself in the job market.
Learn to create a free data science portfolio website using GitHub Pages. This tutorial covers setup, customization, and deployment, with tips for showcasing your skills effectively.
Explore advanced decision tree applications: dimensionality reduction for efficient breast cancer detection and predictor segmentation for sepsis risk assessment, with Python code examples.
Explore tree ensembles: Random Forest and AdaBoost. Learn benefits, types, and applications in machine learning, including breast cancer prediction example.
Beginner-friendly introduction to decision trees, covering Gini impurity and Python implementation. Includes graphical explanations, toy examples, and a practical sepsis survival prediction case.
Discover the benefits of freelancing in data science: diverse projects, skill development, improved pitching, flexibility, networking opportunities, and potential financial gains.
Explora técnicas de regresión para estimar efectos causales, incluyendo regresión lineal, aprendizaje automático doble y metalearners, con ejemplos de código en Python.
Explore real-world data science through crypto time series smoothing. Learn moving averages, polynomial fits, Fourier transforms, and wavelet decomposition for practical financial analysis.
Aprenda a avaliar efeitos causais em modelos não-markovianos usando critérios gráficos para lidar com confundidores não observados em Directed Acyclic Graphs (DAGs).
Explora el operador "do" para estimar efectos causales a partir de datos observacionales, abordando la formulación del efecto promedio del tratamiento y estrategias para manejar confusores no medidos.
Aprenda a calcular efeitos causais usando pontuações de propensão em estudos observacionais. Explore três métodos e veja um exemplo prático com código Python para estimar o efeito do diploma na renda.
Introducción a los efectos causales: marco de resultados potenciales, tipos de efectos causales y su aplicación en estudios observacionales y experimentos aleatorios controlados.
GuÃa rápida de Python para principiantes en IA: conceptos básicos, instalación, tipos de datos, variables, scripts, bucles, funciones y un proyecto práctico de resumen de textos cientÃficos.
Explore 3 LLM compression techniques: Quantization, Pruning, and Knowledge Distillation. Includes Python code examples and practical implementation for efficient model deployment.
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