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Master Python image processing and CNN fundamentals using Google Colaboratory, from basic image manipulation to building and training neural networks for computer vision tasks.
Master medical image classification techniques using FastSurfer pipeline, XGBoost, and 3D CNNs for MRI brain scan analysis. Learn preprocessing steps and implement neural networks in PyTorch for advanced medical data analysis.
Master data transformation with DBT, exploring its integration with SQL and Python. Learn fundamental use cases and workflows to streamline data processes and enhance efficiency in modern data engineering practices.
Explore transparent evaluation methods for ML models through new criteria linking database characteristics to machine learning metrics, focusing on future data prediction and unbiased assessment.
Master object detection fundamentals with OpenCV, from identifying objects in images to implementing practical computer vision solutions for real-world applications.
Dive into the mechanics of Delta Lake's transaction log through hands-on PySpark exercises, exploring its structure, operations, and advantages over traditional data lakes.
Explore the intersection of AI and judicial systems, examining fundamental rights, regulatory needs, and international collaboration for responsible AI implementation in courts.
Discover essential network sparsification techniques for identifying meaningful connections in complex networks, from social platforms to word networks, while effectively managing noise and non-essential edges.
Master Apache Airflow's workflow management capabilities for ETL processes through practical examples. Learn core concepts like DAGs, Tasks, Variables, and XComs while building efficient data engineering pipelines.
Master automated data lake deployment workflows using Molecule, Ansible, and Kubernetes. Learn to set up and test multi-node clusters with essential data services like Elasticsearch, JupyterHub, Spark, and Airflow.
Master the creation of generative AI chatbots using Watsonx Assistant, from basic setup to advanced webhook integration and LLM implementation for sophisticated conversational applications.
Discover how Transformers and Diffusers architectures can optimize workloads, enhance efficiency, and revolutionize both natural language processing and computer vision applications in deep learning.
Discover how Retrieval-Augmented Generation and LLMs transform business automation through practical applications, real-world case studies, and industry-specific implementation strategies.
Discover how Weaver Peer combines domain-based and LLM chatbots to create an innovative enterprise solution for enhanced customer engagement and query management.
Master relation extraction techniques using OpenNRE toolkit in Python, from basic concepts to practical implementation. Perfect for beginners seeking to uncover meaningful connections in text data.
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