AI & Robotic
Showing 649–660 of 703 results
Supervised Learning in R: Regression
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Supervised Learning with scikit-learn
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Support Vector Machines in R
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Tensorflow for Practitioners with Python
This Getting Started With Tensorflow tutorial will help you in understanding how to use and reuse Tensorflow effectively.
Text Mining with Bag-of-Words in R
Learn the bag of words technique for text mining with R.
Text Preprocessing with Python
This course equips learners with essential skills to prepare text data for further analysis.
The Deep Learning Masterclass: Classify Images with Keras!
Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!
The new Bing AI Tutorial for Complete Beginners
Bing AI Tool
The Role of ChatGPT in Shaping Our Future
Start your journey into the world of generative AI and ChatGPT and see the role they will have in shaping our future.
The Secret to Smoother Gameplay with Unity AI!
Steer, flee, avoid! Anything is possible with SteeringBehavior. Make a spaceship game with artificial intelligence & C#!
The Ultimate ChatGPT with React Native : Develop Mobile Apps
Build a Mobile Instagram Feed App with React Native and ChatGPT: Master Mobile Application Development
Train and understand regression models in machine learning
Regression is arguably the most widely used machine learning technique, commonly underlying scientific discoveries, business planning, and stock market analytics. This learning material takes a dive into some common regression analyses, both simple and more complex, and provides some insight on how to assess model performance.