Search result for Ai and machine learning Online Courses & Certifications
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Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. By the end of the course, you’ll apply clustering and dimensionality reduction in Machine Learning using Python as well as Master Unsupervised Learning to solve real-world problems!...
$12.99
Random Forest Algorithm in Machine Learning
by Data Training Campus- 2.1
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1.5 hours on-demand video
Random Forest Algorithm in Machine Learning: Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. 8) Predict and Validate Performance of Model....
$11.99
Feature Engineering for Improving Learning Environments
by Andrew E. Krumm- 0.0
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3 Weeks
How can data-intensive research methods be used to create more equitable and effective learning environments? , variables or predictors) used in various machine learning algorithms. We will provide strategies for using prior research, knowledge from practice, and logic to create features, as well as build and evaluate machine learning models. How to apply selected machine learning algorithms (e....
$99
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Application: Consumption data and earning surprises Application:Consumption-based proxies for private information and managers behavior...
Estimating ML-Models Financial Impact
by Alexey A. Masyutin , Elena S. Kozhina , Viktor I. Skripiuk- 0.0
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Approx. 19 hours to complete
This course covers the basics of financial impact estimation for machine learning models deployed in business processes. Multiple courses focus on building machine learning models and assessing their predictive power. Project valuation: valuation metrics, planning and rules Project valuation: NPV and other valuation criteria Expenses and income sources Reject inference and semi-supervised learning...
Reinforcement Learning with Pytorch
by Atamai AI Team- 4.1
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7 hours on-demand video
Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym All the code and installation instructions have been updated and verified to work with Pytorch 1. And that's why this course has been created. We will go through multiple topics, focusing on most important and practical details. - Introduction to Reinforcement Learning...
$16.99
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
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Approx. 18 hours to complete
We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....
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Teaching Impacts of Technology: Workplace of the Future
by Beth Simon- 0.0
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Approx. 13 hours to complete
In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to effectively explore and critique curricular material you find and practice reviewing lesson plans, with a focus on material aimed at learning HTML. Engagement and Assessment Goals Career Exploration: Data Science and Artificial Intelligence...
Machine Translation
by Alexander Waibel , Jan Niehues- 4.6
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Approx. 27 hours to complete
This MOOC explains the basic principles of machine translation. After taking this course you will be able to understand the main difficulties of translating natural languages and the principles of different machine translation approaches. A main focus of the course will be the current state-of-the-art neural machine translation technology which uses deep learning methods to model the translation process....
How Computers Work
by Dr Marco Gillies- 4.6
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Approx. 10 hours to complete
Computers are everywhere, they aren't just the desktops and laptops we use for work but the phones in our pockets and even the watches on our wrists are also computers. You probably use a computer every day and in fact you are reading this on a computer! 2 Networks and the Web...
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