Search result for Calculus Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 213 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Fundamentals of Prestressed Concrete
by Julio Ramirez- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
The following subjects are used to solve engineering problems: calculus and differential equations; use of computer tools, data manipulation, statistical analysis, numerical calculation, and reinforced concrete design principles....
$750
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. By the end of this course you should be able to:...
Industrial Organization: Strategy and Competition in Business
by Kosmas Marinakis- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 26 hours to complete
Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective....
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. By the end of this course you should be able to:...
Optimization Methods for Business Analytics
by James Orlin , Khizar Qureshi- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Learn how to use optimization methodologies and modeling approaches to effectively analyze data. Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization....
$49
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Basic background in multivariate calculus (e....
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning. AI, you will: a) Translate complete English sentences into German using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering, and d) Build a chatbot using a Reformer model....
State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws)....
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 22 hours to complete
This course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals)....
Previous
