Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Principles of Data Science
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Principles of Data Science
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Exam Prep AIF-C01: AWS Certified AI Practitioner
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Exam Prep AIF-C01: AWS Certified AI Practitioner
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Machine Learning in the Enterprise
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Machine Learning in the Enterprise
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Applied Machine Learning and Model Optimization
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Applied Machine Learning and Model Optimization
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Image Classification on Autopilot with AWS AutoGluon
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Image Classification on Autopilot with AWS AutoGluon
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Mastering Python for Data Science
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Mastering Python for Data Science
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Statistical Learning for Engineering Part 1
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Statistical Learning for Engineering Part 1
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Core Machine Learning & Evaluation
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Core Machine Learning & Evaluation
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Building, Evaluating, and Operationalizing ML Models
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Building, Evaluating, and Operationalizing ML Models
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MongoDB Aggregation Framework
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MongoDB Aggregation Framework
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Machine Learning with PySpark: Customer Churn Analysis
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Machine Learning with PySpark: Customer Churn Analysis
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Natural Language Processing with Attention Models
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Natural Language Processing with Attention Models
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Building a Machine Learning Ready Organization
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Building a Machine Learning Ready Organization
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SPSS: Apply & Evaluate Cluster Analysis Techniques
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SPSS: Apply & Evaluate Cluster Analysis Techniques
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Tools for Data Science
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Tools for Data Science
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Mathematics for Machine Learning: Linear Algebra
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Mathematics for Machine Learning: Linear Algebra
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Machine Learning: Classification
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Machine Learning: Classification
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Machine Learning Operations with Vertex AI: Model Evaluation
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Machine Learning Operations with Vertex AI: Model Evaluation
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Apply SOLID Design to Optimize Java ML
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Apply SOLID Design to Optimize Java ML
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Mathematics for Machine Learning: PCA
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📐 ML Fundamentals
Mathematics for Machine Learning: PCA
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Machine Learning with Spark on Google Cloud Dataproc
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Machine Learning with Spark on Google Cloud Dataproc
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Introduction to AI: Key Concepts and Applications
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Introduction to AI: Key Concepts and Applications
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Algorithmic Thinking (Part 1)
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Algorithmic Thinking (Part 1)
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Octave Machine Learning: Apply, Analyze & Build
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Octave Machine Learning: Apply, Analyze & Build
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