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Cognitive Class is an online learning platform offering a range of courses and resources to help people become data and AI-ready.
Learn SQL basics, relational databases, and advanced concepts through hands-on exercises. Master essential SQL statements, join operations, and data manipulation techniques for effective database management.
Explore machine learning basics, algorithms, and models using Python. Learn supervised and unsupervised techniques, statistical modeling, and real-world applications. Gain practical skills in classification, regression, clustering, and dimensionality red…
Learn to contribute to open source projects, from finding the right project to using tools like Git and GitHub. Gain skills to create and lead your own open source initiatives.
Learn to leverage GPU hardware for faster deep learning, deploying networks for image and video classification using platforms like IBM Power AI with NVIDIA GPUs.
Master data visualization in R: create compelling charts, plots, and interactive maps to effectively communicate insights and tell data-driven stories.
Learn Docker container basics, create and manage images, and explore orchestration with Docker Swarm through hands-on labs. Gain practical skills for efficient application deployment and management.
Explore data privacy through real-world breaches, laws, and ethical considerations. Gain practical insights to protect sensitive information and navigate privacy challenges in organizations.
Learn to extract valuable insights from text data using Information Extraction techniques. Explore applications in social media, healthcare, and finance while gaining hands-on experience with entity, relation, and event extraction.
Learn TensorFlow for deep learning: from basics to advanced architectures. Master neural networks, CNNs, RNNs, and autoencoders. Practical applications in image, sound, and text processing.
Learn to integrate Watson AI services into Swift mobile apps, enhancing functionality with cognitive capabilities like visual recognition and natural language processing.
Learn to secure cloud applications with encryption, authentication, and authorization techniques using IBM Cloud services.
Learn to create AI-powered APIs using Watson and Swift, and explore strategies for monetizing your creations in this practical guide.
Learn to connect R with databases, perform SQL operations, and leverage in-database analytics. Ideal for data scientists and SQL professionals looking to enhance their skills in handling large datasets.
Learn to build, containerize, and deploy scalable web applications on Kubernetes, covering local development, custom domains, monitoring, and scaling techniques.
Learn techniques to reduce dataset features using PCA and EFA, with hands-on practice in R. Explore the theory and application of dimensionality reduction in machine learning.
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