Search result for Supervised and unsupervised learning Online Courses & Certifications
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Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
Differentiate uses and applications of classification and regression in the context of supervised machine learning This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. Train and evaluate clustering models to find useful patterns in unsupervised data....
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Explain and apply a set of unsupervised learning concepts and methods Supervised Learning Unsupervised Learning Introduction to Unsupervised Learning...
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
Learn some of the main tools used in statistical modeling and data science. This is an introductory-level course in supervised learning, with a focus on regression and classification methods. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). Overview of statistical learning Linear model selection and regularization Unsupervised learning...
$149
How Entrepreneurs in Emerging Markets can master the Blockchain Technology
by Co-Pierre Georg- 4.5
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Approx. 10 hours to complete
You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning. Finally, we will look at the benefits and considerations of blockchain and whether blockchain is the right solution for your problem. Unsupervised learning - Agglomerative clustering Unsupervised learning - Partitional clustering Supervised learning Supervised learning - Classification and Regression...
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics. Introduction to Forecasting and Time Series Analysis Deep Learning and Survival Analysis Forecasts...
Deep Learning Fundamentals with Keras
by Alex Aklson- 0.0
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5 Weeks
What are deep learning libraries and how do they compare to one another? What are supervised and unsupervised deep learning models? You will learn about supervised deep learning models, such as convolutional neural networks and recurrent neural networks, and how to build a convolutional neural network using the Keras library. You will learn about unsupervised learning models such as autoencoders....
$99
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Machine Learning applied to Astroinformatics
by Leo Bravo- 0.0
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2 hours on-demand video
If you are not familiar with machine learning and Astroinformatics, don't worry, because in this course, you will learn the necessary to understand these areas, so easily you will apply these techniques to real-world projects. Learn to implement useful and popular machine learning algorithms Learn about supervised and unsupervised machine learning approaches...
$12.99
IBM AI Engineering Professional Certificate
- 0.0
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Learn how to provide business insights from big data using machine learning and deep learning techniques. You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark....
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. Unsupervised Learning Semi Supervised Learning (required)...
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