The Machine Learning Engineer Courses

Optimizing Python Code Speed with Functools and NumPy Vectorize

Boost Python code performance using functools and numpy vectorization techniques for faster execution and improved efficiency.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Optimiza la Velocidad de tu Código Python con Functools y NumPy Vectorize

Optimiza el rendimiento de Python utilizando functools y numpy vectorize para acelerar tus cálculos y mejorar la eficiencia del código.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Vertex AI: Model Garden and Deploying LLaMA 3 8B to Inference Endpoint

Explore Vertex AI's Model Garden, deploy LLama3 8B to an Inference Endpoint, and consume it using Python SDK. Gain hands-on experience with advanced machine learning tools.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Vertex AI: Desplegar Llama3 8B a un Punto de Inferencia desde Model Garden

Explora el Model Garden de Vertex AI y despliega Llama3 8B para inferencia, consumiendo el endpoint con Python SDK.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow

Fine-tune Flan-T5 for sequence-to-sequence classification using MLflow. Learn advanced MLOps techniques for optimizing language models in data science projects.

• YouTube
• 47 minutes
• On-Demand
• Free Video

MLOps MLFlow: Fine-tuning Flan-T5 for Sequence-to-Sequence Classification in Spanish

Personaliza un modelo T5 para clasificación de documentos utilizando Sequence to Sequence y MLflow, mejorando tus habilidades en MLOps y aprendizaje automático.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Fine-tuning Flan-T5 for Text Classification with MLFlow

Aprende a personalizar el modelo T5 base para clasificación de secuencias usando tu propio conjunto de datos y MLflow para MLOps.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Fine-tuning Flan-T5 for Text Classification Using MLFlow - Spanish Tutorial

Personaliza un modelo T5 para clasificación de documentos utilizando SequenceClassification y MLflow, mejorando tus habilidades en ciencia de datos y aprendizaje automático.

• YouTube
• 48 minutes
• On-Demand
• Free Video

MLOps with MLflow: Fine-Tuning LLMs - Tracking Experiments and Logging Models

Fine-tune LLMs, track experiments, and log models using MLflow for efficient MLOps practices in data science and machine learning projects.

• YouTube
• 49 minutes
• On-Demand
• Free Video

MLOps with MLflow: Fine-Tuning LLMs, Tracking Experiments, and Logging Models

Aprende a utilizar MLflow para registrar y gestionar el proceso de ajuste fino de modelos de lenguaje, facilitando el seguimiento de experimentos y la inferencia.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Fine-Tuning Gemini 1.0 Pro for Text Classification in Vertex AI

Fine-tune Gemini Pro 1.0 for text classification using Google Vertex AI's UI and Python SDK. Learn advanced machine learning techniques for improved model performance.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Fine-Tuning Gemini 1.0 Pro for Text Classification in Spanish - Machine Learning and Data Science

Aprende a ajustar el modelo Gemini Pro 1.0 en Google Vertex AI para clasificación de texto, utilizando la interfaz de usuario y el SDK.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Google Vertex AI: Language Prompts, Chat, and Translation for Data Science and Machine Learning

Explore Google Vertex AI's language models for zero-shot learning, few-shot learning, chat, and translation capabilities in data science and machine learning applications.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Google Vertex AI: Language Prompts, Chat and Translation in Spanish

Explora Google Vertex AI: prompts de lenguaje, chat y traducción. Aprende técnicas de zero-shot, few-shot y más usando la interfaz y SDK.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia

Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video