Studyhive - machine learning

This program will constitute a non-technical introduction to Artificial Intelligence (AI) and Machine Learning (ML), with particular emphasis on their current applications in the fields of Architecture, Landscape, Urbanism, and Real Estate.

Virtual

A.I., Machine Learning, and the Built Environment | Harvard University

By Harvard

Subject & Topics: Art & Design, Design, Innovation, Business Analysis, Artificial Intelligence, Machine Learning.

$1,350 - $1,550

Advanced

Virtual

Machine Learning Specialization

By DeepLearning.AI

#BreakIntoAI with the new Machine Learning Specialization, an updated foundational program for beginners created by Andrew Ng.

Subject & Topics: Machine Learning, Linear Regression, Logistic Regression, Neural Networks, Decision Trees.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Machine Learning and AI with Python | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Computer Science, Artificial Intelligence, Machine Learning, Algorithms, Data Science, Data Analysis.

Dive deep into the realm of model quantization with the "Quantization in Depth" course, where you will learn to shrink model weights up to 4x their original size while maintaining performance. Whether you're a beginner or an enthusiast looking to enhance your understanding and practical skills in custom quantization techniques, this course led by experts from Hugging Face is your gateway to mastering advanced quantization methods.

What you will learn:

Quantization in Depth

By DeepLearning.AI

Build and refine linear quantization functions, toggling between symmetric and asymmetric modes, and adapting to different granularities such as per-tensor, per-channel, and per-group.
Assess and balance the trade-offs between performance and space through precise quantization error measurements.
Develop a versatitle quantizer in PyTorch to apply quantization on any open-source model's dense layers, learning techniques to pack weights more efficiently.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Data Science: Machine Learning | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Computer Science, Machine Learning, Algorithms, Data Science.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Fundamentals of TinyML | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Computer Science, Deep Learning, Machine Learning, Neural Networks, Embedded Systems, Data Science.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Data Science: Machine Learning - April 2024 | Harvard University

By Harvard

Subject & Topics: Computer Science, Machine Learning, Algorithms, Data Science.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

CS50's Introduction to Artificial Intelligence with Python - May 2023 | Harvard University

By Harvard

Subject & Topics: Computer Science, Data Algorithms, Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Neural Networks, Algorithms, Programming, Python.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

CS50's Introduction to Artificial Intelligence with Python | Harvard University

By Harvard Certificate or Program credits

This online short course covers the design of reliable and safe machine learning systems.

Designing Reliable and Robust AI Systems

By Stanford

Subject & Topics: Engineering, AI Safety, What Is Ai Safety, Corso, Kochenderfer, Trustworthy, Safe, Reliable, Robust, Validation, Verification, Neural Networks, Machine Learning, Explainability, Failure, Estimation, Adversarial, Uncertainty Quantification, Detection, Safety, Ai, Artificial Intelligence.

$1,000

An on campus executive program created jointly by Harvard’s Kennedy School and the Harvard John A. Paulson School of Engineering and Applied Sciences.

Virtual

Leading in Artificial Intelligence: Exploring Technology and Policy (On Campus) | Harvard University

By Harvard

Subject & Topics: Social Sciences, Artificial Intelligence, Machine Learning, Government, Public Leadership, Public Policy.

$10,500

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

In-Person

Applications of TinyML | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Computer Science, Deep Learning, Machine Learning, Neural Networks, Embedded Systems, Data Science.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

Deploying TinyML | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Computer Science, Deep Learning, Machine Learning, Neural Networks, Embedded Systems, Data Science.

This course teaches the use of vector databases to build applications like Semantic Search, RAG, Recommender Systems, and more, with a focus on capturing data meanings and facilitating similarity searches. It's tailored for beginners with some Python and machine learning knowledge, providing hands-on experience in developing applications with minimal coding.

Building Applications with Vector Databases

By DeepLearning.AI

This course provides an in-depth exploration of knowledge graphs for structuring complex data and enhancing AI applications, focusing on their creation, manipulation with Neo4j’s Cypher query language, integration with large language models (LLMs) through retrieval augmented generation (RAG) techniques, and advanced strategies for comprehensive data retrieval and insight generation.

Knowledge Graphs for RAG

By DeepLearning.AI

This course offers a comprehensive guide on deploying Large Language Models (LLMs) in production, covering their operational mechanics, performance optimization techniques like KV caching, efficient serving strategies for high user volumes, and an introduction to Low Rank Adapters (LoRA) through the Predibase LoRAX framework.

Efficiently Serving LLMs

By DeepLearning.AI

Designed for aspiring and established leaders in any industry, The Harvard Business Analytics Program helps students not just analyze data but understand it, translate it, and incorporate it into strategy at the top levels of their organizations.

Harvard Business Analytics Program | Harvard University

By Harvard Certificate or Program credits

Subject & Topics: Data Science, Leadership, Management, Operations Management, Strategic Management, Digital Marketing, Data Algorithms, Data Structures, Artificial Intelligence, Machine Learning, Neural Networks, Big Data, Data Mining, Data Analysis, Data Visualization, R, Databases, Python.

$51,500

Advanced

In-Person

Evaluations of AI Applications in Healthcare

By Stanford Certificate or Program credits available

This course is designed to provide a comprehensive overview and in-depth analysis of the downstream aspects of the AI healthcare continuum, from clinical, technical, ethics, legal, regulatory, and health policy perspectives with a vision for empowerment, efficient and equitable care.

Subject & Topics: Machine Learning, Artificial Intelligence, AI, Healthcare, Health.

$79

Subject & Topics: Computer Science.

AWS: Introduction to Machine Learning on AWS

By Amazon Web Services Certificate or Program credits

This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.

$59