Machine Learning Courses and Certifications

MIT HAN Lab

Quantization for Efficient Machine Learning - Part II

Explore advanced quantization techniques for efficient machine learning, including post-training and quantization-aware training methods.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

MIT HAN Lab

Pruning and Sparsity in Machine Learning - Part II - Lecture 4

Explore advanced pruning techniques and sparsity concepts for efficient machine learning, focusing on practical applications and cutting-edge research in neural network optimization.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

MIT HAN Lab

Knowledge Distillation and Network Augmentation for Efficient Machine Learning - Lecture 10

Learn knowledge distillation techniques for efficient deep learning, including self and online distillation, and network augmentation for training tiny ML models.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Tech Field Day

Google Cloud Network Infrastructure for AI and Machine Learning

Discover how Google Cloud's advanced network infrastructure enables efficient AI/ML workloads through dual-network architecture, hardware acceleration, and intelligent load balancing for optimal performance and scalability.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Tech Field Day

AI and Machine Learning Data Center Networking Blueprint - RoCEv2 Transport and Nexus Switch Capabilities

Discover how Ethernet Networks leverage RoCEv2 transport for AI/ML clusters, featuring Nexus switches' congestion management capabilities for optimized AI workload performance.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

MLOps with Flyte - Challenges and Solutions in Machine Learning Operations

Explore MLOps challenges and solutions using Flyte, an open-source orchestration tool. Learn best practices for efficient ML model development and deployment at scale.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Scala Days Conferences

Why Netflix Loves Scala for Machine Learning

Explore how Netflix leverages Scala for machine learning, discussing its advantages and applications in large-scale data processing and algorithm development.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

Scala Days Conferences

Extending Spark Machine Learning - Beyond Linear Regression

Explore Spark's ML pipelines, learn to integrate custom tools, and understand how to build and customize advanced machine learning models for big data applications.

• YouTube
• 32 minutes
• Self-Paced
• Conference Talk

Scala Days Conferences

Machine Learning with Scala on Spark

Explore machine learning with Spark and Scala, comparing frameworks, discussing advantages, and addressing challenges in data science. Gain insights into Spark.ml's capabilities and potential for predictive modeling.

• YouTube
• 39 minutes
• Self-Paced
• Conference Talk

Kubernetes Migration Journey - From Virtual Machines to Scalable Machine Learning Platform

Explore ING's 2+ year journey migrating their Machine Learning Platform to Kubernetes, overcoming challenges in a highly regulated banking environment and improving scalability for data scientists.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

awwwards.

Why Machine Learning is a UX Problem

Explore AI's impact on UX design, the evolving roles in tech, and key challenges like transparency and decision fatigue in this insightful talk by Adyen experts at Awwwards Amsterdam.

• YouTube
• 24 minutes
• Self-Paced
• Conference Talk

Machine Learning with Wasm - WASI-NN

Explore machine learning with WebAssembly using WASI-NN for near-native performance on various devices. Learn interface design, implementation, and build an image classification app.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Callstack Engineers

Machine Learning with React Native Using MediaPipe and TFLite

Integrating MediaPipe and TFLite with React Native for machine learning on mobile devices. Learn to create powerful, intuitive cross-platform apps with ML capabilities without extensive ML knowledge.

• YouTube
• 37 minutes
• Self-Paced
• Conference Talk

Chemometrics & Machine Learning in Copenhagen

Preprocessing: Centering and Scaling in Chemometric Machine Learning

Learn techniques for centering and scaling data to enhance information in chemometric machine learning contexts like PCA and PLS models.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

Kotlin for Machine Learning

Explore Kotlin's potential in machine learning projects, from data cleaning to model deployment. Learn about Kotlin tools for data science, including Jupyter notebooks, visualizations, and dataframes.

• YouTube
• 48 minutes
• Self-Paced
• Conference Talk