Search result for Machine learning and linear algebra Online Courses & Certifications
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Mathematics & Statistics of Machine Learning & Data Science
by Cinnamon TechX- 4.2
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11 hours on-demand video
Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning Machine learning is the process that powers many of the services we use today—recommendation systems like those on Netflix, YouTube, and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa....
$12.99
Financial Modeling for Algorithmic Trading using Python
by Packt Publishing- 3.9
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12.5 hours on-demand video
You will then learn how to build machine learning models and trading algorithms as per your trade. Now that you are being familiar with machine learning, you will step ahead with learning deep learning techniques for Financial forecasting, predicting Forex currency exchange rates, looking into financial loan approval, fraud detection, and forecasting stock prices....
$16.99
Calculus for Data Science - Machine Learning - Deep Learning
by Manifold AI Learning ®- 4.2
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10 hours on-demand video
In further sections, we move along and apply the basics and learn some of the important concepts related to approximation which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science model Join now to build confidence in Mathematics part of Machine learning, Deep Learning , Artificial intelligence, Data Science and stay ahead in your career....
$13.99
Machine Learning & Data Science Masterclass in Python and R
by Denis Panjuta- 4.1
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17 hours on-demand video
Machine learning with many practical examples. Regression, Classification and much more Machine Learning is only really fun when you evaluate real data. After the course you can apply Machine Learning to your own data and make informed decisions: ), which are also used for real machine learning projects. Linear Regression You will also learn how to use Machine Learning:...
$11.99
Recommender Systems and Deep Learning in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques We’ll be covering state of the art algorithms like matrix factorization and deep learning (making use of both supervised and unsupervised learning - Autoencoders and Restricted Boltzmann Machines), and you’ll learn a bag full of tricks to improve upon baseline results....
$18.99
Artificial Intelligence (AI)
by Ansaf Salleb-Aouissi- 0.0
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12 Weeks
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression. Machine Learning algorithms...
$249
Principles of Electric Circuits | 电路原理
- 0.0
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18 Weeks
The main content of this course contains linear and nonlinear resistive circuits, time domain analysis of the dynamic circuits, and the steady state analysis of the dynamic circuits with sinusoidal excitations. In order to facilitate the learning for students with middle school level, we prepare the necessary knowledge for calculus and linear algebra in week 0....
$139
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Introduction to Enumerative Combinatorics
by Evgeny Smirnov- 4.7
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Approx. 111 hours to complete
Enumerative combinatorics deals with finite sets and their cardinalities. However, some acquaintance with basic linear algebra and analysis (including Taylor series expansion) may be very helpful. Grading and Logistics Permutations and binomial coefficients Merry-go-rounds and Fermat’s little theorem 1 q-binomial coefficients: definition and first properties Sidebar: q-binomial coefficients in linear algebra...
Introduction to Machine Learning in R
by Holczer Balazs- 4
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8 hours on-demand video
Machine learning, neural networks, regression, SVM, naive bayes classifier, bagging, boosting, random forest classifier This course is about the fundamental concepts of machine learning, facusing on neural networks. machine learning basics linear regression and implementation logistic regression and implementation k-nearest neighbor classifier and implementation naive bayes classifier and implementation k means clustering and hierarchical clustering...
$12.99
Introduction to Predictive Analytics using Python
by Dr Johannes De Smedt , Obinna Unigwe , Sofia Varypati , Dr Xuefei Lu- 0.0
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6 Weeks
Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. This course is the first in the MicroMasters program and will prepare you for modeling classification and regression problems with statistical and machine learning methods. Implement linear and logistic refression models using real-life data...
$150
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