What is Machine Learning?

Machine learning is an area of artificial intelligence and computer science that includes the development of software and algorithms that can make predictions based on data. The software can make decisions and follow a path that is not specifically programmed. Machine learning is used within the field of data analytics to make predictions based on trends and insights in the data.

A prime example of the application of machine learning is the autonomous vehicle. Sensors around the vehicle deliver thousands of data points which are analyzed and processed to move the vehicle toward its destination. Collective data from thousands of self-driving cars can be used to improve vehicle safety and prevent accidents.
Online Courses in Machine Learning

Microsoft, Columbia, Caltech and other major universities and institutions offer introductory courses in machine learning and artificial intelligence. Gain a stronger understanding of the major machine learning projects with helpful examples. Learn how to build complex data models, explore data classification and regression, clustering methods, sequential models, matrix factorization and explore other key parts of this exciting field.
Jobs in Machine Learning

Funding for research and development in the fields of machine learning and artificial intelligence is growing at a rapid pace. This translates into strong demand for experts that can produce better insights from data. At the time of this writing, Indeed.com listed over 1300 full-time, open positions for machine learning specialists, people who can write, implement, test and improve machine learning models. Top job titles include Machine Learning Engineer, Data Mining Engineer, AI Engineer and Machine Learning Infrastructure Developer and salary estimates range as high as $130K per year. Building your data analysis and programming expertise can significantly improve your CV and help you enter the exciting world of machine learning. Get started with an introductory course today.
Explore a Career in Machine Learning

The field of machine learning is booming and having the right skills and experience can help you get a path to a lucrative career. Take an online machine learning course and explore other AI, data science, predictive analytics and programming courses to get started on a path to this exciting career.

JOBS IN MACHINE LEARNING

Funding for research and development in the fields of machine learning and artificial intelligence is growing at a rapid pace. This translates into strong demand for experts that can produce better insights from data. At the time of this writing, Indeed.com listed over 1300 full-time, open positions for machine learning specialists, people who can write, implement, test and improve machine learning models. Top job titles include Machine Learning Engineer, Data Mining Engineer, AI Engineer and Machine Learning Infrastructure Developer and salary estimates range as high as $130K per year. Building your data analysis and programming expertise can significantly improve your CV and help you enter the exciting world of machine learning. Get started with an introductory course today.

EXPLORE A CAREER IN MACHINE LEARNING

The field of machine learning is booming and having the right skills and experience can help you get a path to a lucrative career. Take an online machine learning course and explore other AI, data science, predictive analytics and programming courses to get started on a path to this exciting career.
About this course

This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

You’ll look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error and Random Forests.
Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

About this course

This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.
You’ll look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error and Random Forests.
Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!
What you’ll learn
Supervised vs Unsupervised Machine Learning
How Statistical Modeling relates to Machine Learning, and how to do a comparison of each.
Different ways machine learning affects society

Course Syllabus

Module 1 –

  • Introduction to Machine Learning
    Applications of Machine Learning
    Supervised vs Unsupervised Learning
    Python libraries suitable for Machine Learning

Module 2 –

  • Regression
    Linear Regression
    Non-linear Regression
    Model evaluation methods

Module 3 –

  • Classification
    K-Nearest Neighbour
    Decision Trees
    Logistic Regression
    Support Vector Machines
    Model Evaluation

Module 4 –

  • Unsupervised Learning
    K-Means Clustering
    Hierarchical Clustering
    Density-Based Clustering

Module 5 –

  • Recommender Systems
    Content-based recommender systems
    Collaborative Filtering

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