Search result for Machine learning and linear algebra Online Courses & Certifications
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Foundations of Data Science
by Dinesh Kumar- 0.0
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7 Weeks
Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science. Data Science along with artificial intelligence (AI) and its various components such as statistical learning (SL), machine learning (ML) and deep learning algorithms (DL) are recognized as main drivers of organizational value creation....
$149
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
List several best practices concerning EDA and data visualization Explain the difference between imputation and multiple imputation This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Business Scenarios and Probability...
PCA & multivariate signal processing, applied to neural data
by Mike X Cohen- 4.7
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10 hours on-demand video
Because data are stored in matrices, algorithms developed in linear algebra are extremely useful. non-neuroscientist who is interested in learning more about the big questions in modern brain science. independent learner who wants to advance your linear algebra knowledge. I worked hard to make this course accessible to anyone with at least minimal linear algebra and programming background....
$11.99
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Class imbalances can seriously affect the validity of your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased models. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Deep Learning Prerequisites: Linear Regression in Python
by Lazy Programmer Inc.- 4.6
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6.5 hours on-demand video
This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. machine learning In the next section, we will extend 1-D linear regression to any-dimensional linear regression - in other words, how to create a machine learning model that can learn from multiple inputs....
$17.99
Fintech: AI & Machine Learning in the Financial Industry
by Cesare Fracassi- 0.0
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4 Weeks
This course provides a detailed explanation of machine learning and its applications in finance. We will review the main machine learning tools, starting from measuring the accuracy of predictive models, to basic linear regressions, linear and non linear machine learning models, and deep learning, and their applications in finance. What machine learning is, and how to use machine learning algorithms....
$850
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning and Limitations...
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A crash course in neural networks for beginners
by Dan We- 4.1
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3 hours on-demand video
What is machine learning / ai ? How to learn machine learning in practice? machine learning / ai (artificial intelligence) is the hottest topic in this century - for good reasons. I agree that statistics, calculus and linear algebra are not everyone's favourite topics. neural networks transfer learning and sentiment prediction machine learning and neural networks mini case studies...
$11.99
Fundamentals of Machine Learning with Python Implementation.
by Three Millennials- 3.5
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7 hours on-demand video
Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved The concepts are developed from scratch to make students well equipped with all the basics and math involved with all machine learning algorithms Various supervised learning algorithms like linear and logistic regression. Use Python for Data Science and Machine Learning...
$12.99
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
This fourth and final course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate continues on from the previous course by introducing more, and in some cases, more advanced algorithms used in both machine learning and deep learning. Build Decision Trees and Random Forests Module Introduction Classification and Regression Tree (CART)...
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