Course 1 : Supervised Machine Learning: Regression and Classification Week 1 Practice quiz: Regression Practice quiz: Supervised vs unsupervised learning Practice quiz: Train the model with gradient descent Optional Labs Model Representation Cost Function Gradient Descent Week 2 Practice quiz: Gradient ...
Course 1 : Supervised Machine Learning: Regression and Classification Week 1 Practice quiz: Regression Practice quiz: Supervised vs unsupervised learning Practice quiz: Train the model with gradient descent Optional Labs Model Representation Cost Function Gradient Descent Week 2 Practice quiz: Gradient ...
This Machine Learning Specialization is designed to teach theoretical knowledge and hands-on experience to give students a solid foundation of Regression algorithms, Clustering algorithms, Classification algorithms, and Information Retrieval. This three-course certificate program will prepare you for the role...
Applied learning through 25+ hands-on projects and 20+ tools with seamless access to integrated labs 4.5 4.4 4.5 Take the first step to your goals Lifetime access to self-paced e learning content Corporate Training Enterprise training for teams ...
Over the course a couple months, United partnered with the Amazon Machine Learning Solutions Labs to design and develop a reusable, use case-agnostic active learning workflow using AWS CDK. This workflow will be foundational to our unstructured data-based machine learning applications as it will ...
Leading this evolution isAmazon Bedrock, a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API,...
-[Numpy Vectorization](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb) ...
- Optional Labs - [Derivatives](https://github.com/sohansai/machine-learning-andrew-ng/blob/main/Advanced%20Learning%20Algorithms/C2_W2_Derivatives.ipynb) - [Back propagation](https://github.com/sohansai/machine-learning-andrew-ng/blob/main/Advanced%20Learning%20Algorithms/C2_W2_Backprop.ipynb...
Machine learning - Andrew Ng - Stanford - Paying, optional AI Programming with Python - Complete nanodegree - Paying, optional Deep learning specialization - Andrew Ng - Paying, optional TensorFlow (Professional certificates) - Paying, optional AI Engineering - IBM (Professional certificates) - Paying...
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning...