Machine Learning Online Courses & Certifications
Machine learning is a subfield of artificial intelligence (AI) that focuses on developing algorithms and techniques that enable computers and systems to learn and improve from experience without being explicitly programmed. It involves the development of models and algorithms that can analyze and interpret large amounts of data, identify patterns, and make predictions or decisions based on that data.
In traditional programming, humans write explicit instructions for a computer to follow. However, in machine learning, the computer learns from data by discovering patterns and relationships on its own. This process involves training a machine learning model using a set of labeled data, known as the training data. The model learns from this data and generalizes its knowledge to make predictions or decisions on new, unseen data.
Machine learning finds applications in various fields, including image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, and many more. It has revolutionized industries and opened up new possibilities for data-driven decision-making and automation.
A machine learning model is only as good as the data it learns from. Feature Engineering helps ensure data quality by scaling, normalizing, and transforming raw data before using it in a machine learning model. In this Skill Path, you will learn to safeguard data quality, turn attributes into features, and verify that your data meets the assumptions of the model you want to train.
Recommender systems are at the heart of so many applications we use everyday from your favorite movie streaming service to food delivery to dating apps! This course walks you through what they are, how they work, what makes a good recommender system and how to build one
Learn the basics of machine learning to train your own models.
Learn about ensembling methods in machine learning!
Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.
Learn how to generate and translate text using deep learning.
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Use unsupervised learning to find patterns hidden in data.
Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
Learn how to build perceptrons: the foundations of neural networks.
Learn to build machine learning models with Python.
This course walks you though the major stages of building a pipeline for your machine learning project.
In this course you will learn the basics of machine learning for classification.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
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!