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Build an object recognition model using TensorFlow, learning fundamentals and practical applications in computer vision. Create and train CNNs on real-world datasets to enhance deep learning skills.
Learn essential data visualization principles and apply them to create effective charts in Excel, enhancing your ability to communicate insights across various fields.
Learn to create an inventory management system using Excel with Coursera Project Network. Ideal for intermediate analysts, this 1.5-hour course covers table creation, color coding, and formula application.
Learn strategies to manage foreign exchange risk, including forward agreements, money market hedging, futures, and options. Essential for business leaders and finance professionals.
Train and deploy an object detector using Amazon SageMaker to localize dog and cat faces from the IIIT-Oxford Pets Dataset. Gain hands-on experience with SSD algorithm and AWS integration.
Build and train a multilayer perceptron model using Keras to classify Reuters newswires into 46 topics. Gain hands-on experience with neural networks for text classification.
Learn to deploy applications using Kubernetes objects like pods, replication controllers, deployments, and services. Gain hands-on experience with rollbacks and rolling updates.
Identify and manage web spam in Google Analytics using filters, segment data, and clean past spam for accurate analytics insights.
Learn to reduce high-dimensional data using autoencoders in Python. Generate datasets, preprocess data, train PCA and autoencoder models, and evaluate clustering strength with practical implementations.
Learn to create custom layers in Keras with Coursera's 1-hour project-based course. Develop a simplified Parametric ReLU layer and solve a multi-class classification problem. Python, neural networks, and Keras knowledge required.
Create a RACI Matrix in Google Sheets to establish team roles and responsibilities for project tasks, enhancing communication and accountability in project management.
Learn to predict poisonous mushrooms using Random Forest and FFTrees in R. Practice data distribution analysis, model application, and result evaluation with confusion matrices.
Learn to interpret and draw a relational model using Dia in this Coursera Project Network course. Gain skills in database design, resolving relationships, and creating blueprints for databases.
Train and deploy an image classifier for 37 dog and cat breeds using Amazon SageMaker's ready-to-use algorithms. Gain hands-on experience with machine learning on AWS cloud infrastructure.
Aprende los fundamentos de Excel: organización de datos, cálculos básicos y funciones esenciales para proyectos personales y profesionales. Domina esta herramienta clave para el análisis y gestión de información.
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