Studyhive - neural networks

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

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

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

In-Person

Machine Learning Specialization

By DeepLearning.AI

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

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.

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.

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

Subject & Topics: Engineering.

PurdueX: Boltzmann Law: Physics to Computing

By Purdue University Certificate or Program credits

Provides a unified perspective connecting equilibrium statistical mechanics with stochastic neural networks and quantum computing.

$833

RWTHx: Basics of Machine Learning

By RWTH Aachen University

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

$99

Subject & Topics: Engineering.

RWTHx: Automated and Connected Driving Challenges

By RWTH Aachen University Certificate or Program credits

The MOOC "Automated and Connected Driving Challenges (ACDC)" introduces participants to some of the latest research challenges and provides the possibility to develop and test automated and connected driving functions step by step.

$50

LVx: Fundamentals of Deep Reinforcement Learning

By Learn Ventures

Learn the theoretical foundations of Deep Learning through practical Python code.

$75

Subject & Topics: Data Analysis & Statistics.

IBM: Deep Learning with Python and PyTorch.

By IBM Certificate or Program credits

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

$99

UAMx: Deep Learning: redes neuronales y aprendizaje profundo

By Universidad Autónoma de Madrid Certificate or Program credits

Introdúcete en el mundo del aprendizaje automático a través de las redes neuronales profundas.

$29

UMontrealX: Machine Learning Use Cases in Finance

By Université de Montréal Certificate or Program credits

In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.

$189

MITx: Machine Learning with Python: from Linear Models to Deep Learning

By Massachusetts Institute of Technology Certificate or Program credits

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

$300