Search result for Mathematics for machine learning specialization Online Courses & Certifications
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Mathematics for Data Science and Machine Learning using R
by Eduonix Learning Solutions- 4.7
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10.5 hours on-demand video
Learn the fundamental mathematics for Data Science, AI &ML using R Despite the availability of several tutorials on data science, it is one of the online guides containing hand-picked topics on the concepts for foundational mathematics for Data Science using R programming language. Overview of Machine Learning and R programming language...
$11.99
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn He has served as a TA for EE364a at Stanford....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance....
Sprint the Data Science Interview
by Muni Kumar Gopu V R- 3.9
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1 hour on-demand video
Preparation for an interview in data science would require knowledge and expertise in a subset of the above disciplines. To summarize one would require skills on Algorithms, SQL, Probability, Statistics, Econometrics, Problem Solving, Machine Learning, Optimization, storytelling and presentation skills. In this course, I would cover few questions on Probability, Statistics and different aspects of Machine Learning....
$12.99
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions. Machine Learning and the Bias Variance Trade-Off Some Guidance for Learners New to the Specialization...
Machine Learning Mastery (Integrated Theory+Practical HW)
by SaifAli Kheraj- 4
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8 hours on-demand video
Have an in-depth understanding of the concepts of Machine Learning Be able to grasp, understand, and write machine learning code from scratch Use Builtin Libraries available to build machine learning models Introduction to machine learning: Overview of supervised and unsupervised learning This course is for all interested in learning data science and machine learning, there is no such pre req....
$9.99
The Hello World of Machine Learning in Python
by Justin Mitchel- 4.8
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2 hours on-demand video
Use Python to create a Machine Learning Algorithm from scratch. Machine learning is simply a computer learning from data instead of following a recipe. This post is meant to get you started with a basic machine learning model. Our Github Repo also has the code for you to play around with....
$11.99
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Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. APIs for Federated Learning Navigate TensorFlow Hub, a repository of models that you can use for transfer learning...
Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
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15.5 hours on-demand video
Mathematics forms the core of data science and machine learning. Matrix Operations for Machine Learning How to apply all of the essential vector and matrix operations for machine learning and data science Develop an understanding of what’s going on beneath the hood of machine learning algorithms, including those used for deep learning...
$17.99
Data Pipelines with TensorFlow Data Services
by Laurence Moroney- 4.3
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Approx. 11 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....
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