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Machine Learning
Lexi B. edited this page Sep 10, 2025
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Machine Learning is the study and creation of models that allow a computer to complete a task without direct supervision or commands. Many companies use it to make their processes more efficient and to offer a better customer experience. You've likely come across it through predictive text or social media algorithms.
As companies continue to collect more and more data on their customers, they are seeking ways to use that data to inform their business decisions or identify ways to improve the customer experience. Learning machine learning concepts will help develop a skill set that will be relevant for years to come as technology continues to evolve with artificial intelligence.
| Course Name | Description | Skills Covered | Time to Complete |
|---|---|---|---|
| Google Colab | This sandbox from Google offers a great way to practice your Machine Learning skills. | N/A | N/A |
| Intro to TensorFlow | This course will teach you about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. | numPy, APIs, Jupyter Notebooks | 3 hours |
| TensorFlow Developer Skills | This course will teach you how to program in Python and how to run Python programs in PyCharm. You'll then learn more about how to find information in TensorFlow APIs. After that, you'll learn how to create machine learning models using TensorFlow. | Python, PyCharm, Machine Learning Models | 2.5 hours |
| Foundations of PyTorch | This course covers many aspects of building deep learning models in PyTorch, including neurons and neural networks, and how PyTorch uses differential calculus to train such models and create dynamic computation graphs in deep learning. | PyTorch, Machine Learning, Tensors, Autograd Library, Dynamic Computation Graphs | 4 hours |
| Learn the Basics of PyTorch | In this official tutorial from PyTorch, you'll learn how to train a neural network and get hands on experience as you complete a machine learning workflow. You will need a basic understanding of Python and Deep Learning concepts. | Tensors, Datasets, Automation | N/A |