Predictive Modeling and Machine Learning with MATLAB

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Predictive Modeling and Machine Learning with MATLAB

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Builds a predictive model using MATLAB for machine learning tasks

Original Description

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The Mental Model of PyTorch: Build a Neural Network in 5 Phases
Learn the mental model of PyTorch by building a neural network in 5 phases to understand every line of code
Medium · Deep Learning
📰
Automatic Relevance Determination Regression for Time Series Forecasting
Learn how to apply Automatic Relevance Determination Regression for accurate time series forecasting
Medium · Data Science
📰
Deploying Multi-Turn RL Infrastructure for Amazon Nova on Amazon SageMaker HyperPod
Deploy a multi-turn RL infrastructure on Amazon SageMaker HyperPod using Amazon Nova Forge and create an event-driven pipeline for automated training
AWS Machine Learning
📰
Python for Data Science — Sampling and Why Your Conclusions Can Be Wrong
Learn how sampling affects data science conclusions and why understanding probability distributions is crucial
Medium · Machine Learning
Up next
Dropout in Deep Learning
AnuTech-CH
Watch →