AI & Robotic
Showing 1105–1116 of 1355 results
Play by Play: Machine Learning Exposed
In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Practical Application of LLMs
This is a beginner-level introduction to large-language models (LLMs). This course will teach you the fundamentals of this powerful technology along with hands-on examples using the OpenAI API.
Practical Deep Learning with Keras and Python
Learn to apply machine learning to your problems. Follow a complete pipeline including pre-processing and training.
Practical Guide to Neural Network Training: Working with Leading Frameworks
Today’s deep learning frameworks make it easier than ever to work with neural networks. This course will teach you how to efficiently build and train a neural network, while evaluating and addressing some common challenges.
Practical Intro To Reinforcement Learning Using Robotics
Learn to build robots that can automatically learn to behave well in their environments without explicit instructions.
Practical Multi-Armed Bandit Algorithms In Python
Acquire skills to build digital AI agents capable of adaptively making critical business decisions under uncertainties.
Practicing Machine Learning Interview Questions in Python
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Precise Predictions: Classification for Flower and Tumors
Master classification techniques for precise predictions, including classifying flowers and detecting tumors. Learn how to apply machine learning models like logistic regression, SVM, and decision trees for accurate predictions.
Predict 2024 US Election with EDA & Machine Learning
Explore exploratory data analysis (EDA) and machine learning techniques to predict the outcome of the 2024 US Election. Learn how to clean, analyze, and visualize electoral data, then build models to make predictions using machine learning.
Predict credit defaults with random forest using Python
Learn how to predict credit defaults using the Random Forest algorithm in Python. Understand the data preprocessing steps, model training, and evaluation techniques that make Random Forest a powerful tool for financial risk analysis.
Predict house prices with regression algorithms and sklearn
Learn how to predict house prices using regression algorithms in Python with Scikit-learn. Discover the power of linear regression, decision trees, and other models to build accurate predictive models for real estate and housing markets.
Predict payment defaults using SVM with Python
Learn how to predict payment defaults using Support Vector Machines (SVM) in Python. Understand how to preprocess financial data, train SVM models, and assess their effectiveness in predicting customer behavior in the finance industry.