Catalog Search Results
Publisher
Gale
Pub. Date
uuuu
Language
English
Description
Gale Presents: Udemy is an online learning platform that provides instruction for adults who want to upskill for a new job, advance in their current profession, or deepen a personal interest. This top collection, curated from courses from Udemy.com and powered by Udemy for Business, gives users access to relevant skills training, helping them achieve success at work and in life. Before enrolling, users can review key information about a course, its...
Author
Series
Publisher
John Wiley & Sons
Pub. Date
[2021]
Language
English
Description
Your comprehensive entry-level guide to machine learning. While machine learning expertise doesn't quite mean you can create your own Turing Test-proof android - as in the movie Ex Machina- it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future...
Author
Language
English
Formats
Description
"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black...
Author
Publisher
No Starch Press
Pub. Date
[2021]
Language
English
Description
"An introduction to machine learning and artificial intelligence, using the Scratch programming language. Provides instructions to make a game that can learn hand motions, a chatbot that can answer questions, a computer assistant that can learn simple commands, and more"--
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Generate impactful insights with the power of machine learning. Get the foundational skills needed to efficiently solve nearly any kind of machine learning problem.
Anyone who can write basic Python is capable of fitting a simple machine learning model on a clean dataset. The competitive edge comes in the ability to customize and optimize those models for specific problems. The workflow used to build effective machine learning models and the methods...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.
Learn how to analyze data using the machine learning capabilities built into Mathematica 11. In this course, Curt Frye provides an overview of machine learning tasks, explains how to separate training data from test data, and shows how to import data from a file. He also demonstrates...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Get an in-depth introduction to probability, find out why it’s a prerequisite for machine learning, and learn how to use it to design and implement machine learning algorithms.
If you work with machine learning models, you probably already know that your models are based on estimation and approximation. Probability is everything and more—but how do you leverage it to your advantage? In this course, the third part of the Machine Learning Foundations...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn how statistics can help you troubleshoot issues, optimize performance, and innovate, creating new machine learning models that are more efficient.
Machine learning models have revolutionized how we work, across a multitude of industries. But going deeper with ML models and actually understanding how they work will allow you to optimize performance, innovate, troubleshoot issues, and create new and more efficient ML models. In this course, the...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn the basics of calculus concepts and techniques used to design and implement ML algorithms.
Studying artificial intelligence and machine learning can be difficult enough, but what if you threw some calculus into the mix? It may sound daunting, but understanding the foundations of calculus can help you design and implement machine learning algorithms, and without a solid foundation in calculus your work in machine learning can quickly become...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how machine learning algorithms work. Explore a variety of algorithms and learn how to set a structure that guides you through picking the best one for the problem at hand.
In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. In this course—the second and...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn how self-supervised models can help take advantage of unlabelled data and use self-supervised models in transfer learning.
Are you a programmer looking to expand your model building skills in hopes of gathering more information from the data you have available? This course teaches you how self-supervised machine learning can assist you. Instructor Janani Ravi shows you how self-supervised models work and how to leverage self-supervised models...
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
This series teaches you about machine-learning programs and how to write them in the Python programming language. For those new to Python, a "get-started" tutorial is included. Professor Michael L. Littman covers major concepts and techniques, all illustrated with real-world examples such as medical diagnosis, game-playing, spam filters, and media special effects.
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
Machine learning is both a cause and a cure for privacy concerns. Hear about two notorious cases where de-identified data was unmasked. Then, step into the role of a computer security analyst, evaluating different threats, including pattern recognition and compromised medical records. Discover how to think like a digital snoop and evaluate different strategies for thwarting an attack.
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
Explore pitfalls that loom when applying machine learning algorithms to real-life problems. For example, see how survival statistics from a boating disaster can lead to false conclusions. Also, look at cases from medical care and law enforcement that reveal hidden biases in the way data is interpreted. Since an algorithm is doing the interpreting, understanding what's happening can be a challenge.
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
Finish the series with a lightning tour of meta-learning: algorithms that learn how to learn, making it possible to solve problems that are otherwise unmanageable. Examine two approaches: one that reasons about discrete problems using satisfiability solvers and another that allows programmers to optimize continuous models. Close with a glimpse of the future for this astounding
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
Get acquainted with a powerful new tool in machine learning, causal inference, which addresses a key limitation of classical methods: the focus on correlation to the exclusion of causation. Practice with a historic problem of causation: the link between cigarette smoking and cancer, which will always be obscured by confounding factors. Also look at other cases of correlation versus causation.
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Learn the basics of machine learning and how you can create a machine learning model with Python.
You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start? In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn the fundamentals of machine learning in this hands-on course, and discover popular tools in Azure Machine Learning.
Machine learning is rapidly becoming ubiquitous, making it a key technology to learn. It is changing the landscape of business. Learning the key concepts of machine learning is essential to understanding its capabilities and knowing how to use it. This course targets those hands-on skills and provides directed learning in several...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.
Ever wondered what’s really going on underneath a machine learning algorithm? The answer is linear algebra. Without it, machine learning can’t exist. Linear algebra is a prerequisite for understanding and creating nearly all machine learning algorithms, especially those that prop up neural networks, natural language processing tools, and deep...
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