IBM
Machine Learning Explainability
A short hands-on project: Data Science, Deep Learning, Machine Learning.
- Cognitive Class
- 45 minutes
- Self-paced
- Free course
- Intermediate
Free online
Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
IBM
A short hands-on project: Data Science, Deep Learning, Machine Learning.
Alison
It is estimated that there are more neurons in the human brain than stars in the Milky Way. Incredibly, they are all connected in complex neuronal webs, making our brains the most extensive and complex computational networks in the known universe, about which scientists know more than they do the b…
University of Washington
Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?…
IBM
A short hands-on project: Artificial Intelligence, Data Science, Machine Learning.
Gate Smashers
Artificial Neural Networks (ANNs) are at the core of Deep Learning & Artificial Intelligence (AI), transforming industries from healthcare to finance. Whether you're a beginner, student, or preparing for competitive exams, certifications, or job interviews, this complete ANN playlist covers everyth…
freeCodeCamp
Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation. ✏️ Course from M…
DeepLearning.AI
In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform n…
University of Washington
This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that wi…
Harvard University
Join CS50's Nick Wong for a look at neural networks in Tensorflow, using Python. Using a technique called "k-means clustering", we'll first illustrate how to group together like images of Colton and Nick from prior streams, then progress to full neural networks to generate what a future image of Co…
Apna College
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IIT Guwahati
Computer Science and Engineering course by Prof. Arijit Sur.
DeepLearning.AI
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using Tens…
IBM
A short hands-on project: Deep Learning, Machine Learning, Python.
IBM
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.
Indian Institute of Management Bangalore
Master the tools of predictive analytics in this statistics based analytics course.
IBM
A short hands-on project: Data Science, Deep Learning, Machine Learning.
IBM
A short hands-on project: AI Agents, Graph Neural Networks (GNNs), Knowledge Graphs.
The Linux Foundation
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in depl…
Delft University of Technology
Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.
University of Pennsylvania
Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.