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MERN eCommerce from Scratch (Packt)
MIPS Computer Architecture and Performance Optimization (Birla Institute of Technology & Science, Pilani)
ML Algorithms (Whizlabs)
ML Parameters Optimization: GridSearch, Bayesian, Random (Coursera Project Network)
ML Pipelines on Google Cloud - Français (Google Cloud)
ML Pipelines on Google Cloud - Português (Google Cloud)
ML Pipelines on Google Cloud - 日本語版 (Google Cloud)
ML Pipelines on Google Cloud - 한국어 (Google Cloud)
ML Pipelines on Google Cloud en Español (Google Cloud)
MLOps Platforms: Amazon SageMaker and Azure ML (Duke University)
MLOps Tools: MLflow and Hugging Face (Duke University)
MLOps in R: Deploying machine learning models using vetiver (Coursera Project Network)
MLOps with Vertex AI: Manage Features - Español (Google Cloud)
MLOps with Vertex AI: Manage Features - Français (Google Cloud)
MLOps with Vertex AI: Manage Features - Português Brasileiro (Google Cloud)
MLOps with Vertex AI: Manage Features - 日本語版 (Google Cloud)
MLOps with Vertex AI: Manage Features - 한국어 (Google Cloud)
MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어 (Google Cloud)
MOOC X MOOC (Universidad Nacional Autónoma de México)
MOOC and Blended Learning (Tsinghua University)
MOQ (Board Infinity )
MOS Transistors (Columbia University)
MOST from a Conceptual Perspective (New York University)
MOST from a Methodological Perspective (New York University)
MRI Fundamentals (Korea Advanced Institute of Science and Technology(KAIST))
MS Teams – Getting Started and Team Management (Packt)
MS Teams – Guest Access and Collaboration Management (Packt)
MS Teams – Security, Compliance, and Advanced Administration (Packt)
MS-102: Microsoft 365 Administrator (Packt)
MV Substation - An industrial approach (PART-A) (L&T EduTech)
MV Substation - An industrial approach (PART-B) (L&T EduTech)
MaaS: Adoption and Use (Eindhoven University of Technology)
Machine Design Part I (Georgia Institute of Technology)
Machine Learning (O.P. Jindal Global University)
Machine Learning - Anomaly Detection via PyCaret (Coursera Project Network)
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