Search result for Data structures and algorithms Online Courses & Certifications
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Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Use a variety of error metrics to compare and select the classification model that best suits your data To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Wave-Based NDT Methods
by Luna Lu , Guangshuai Han- 0.0
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5 Weeks
Learn how to use wave-based NDT techniques, ultrasonic testing, acoustic emission, etc, to inspect the structural integrity of civil engineering structures, including highways, bridges, dams, and buildings. Wave-based NDT methods allow for reliable and rapid evaluation of civil engineering infrastructure. The topics include piezoelectric effect, basic principles of various wave-based NDT methods, and their associated data acquisition....
$750
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Learn the principles of supervised and unsupervised machine learning techniques to financial data sets Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes...
Mastering Data Science and Machine Learning Fundamentals
by AI Sciences- 4.2
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2 hours on-demand video
A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY] A comprehensive course that will teach you how Data Science and Machine Learning Work. Data Science and Machine learning is not just another buzzword. We will draw on our expertise in data science and AI to guide you through what matters and what doesn't....
$9.99
Business Sales, Presentation & Leadership – Storytelling
by Jason Hurley- 5
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1.5 hours on-demand video
Discover the Secrets of Storytelling to Influence and Inspire Clients & Teams · Learn how to engage with clients in sales scenarios building empathy and awareness · Explore the 7 Key story structures and how to utilize them in business scenarios · Learn how to integrate data into stories to enable better memory recall of essential elements...
$11.99
Sparse Representations in Signal and Image Processing: Fundamentals
by Michael Elad , Alona Golts- 0.0
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5 Weeks
Modeling data is the way we - scientists - believe that information should be explained and handled. A series of theoretical problems arise in deploying this seemingly simple model to data sources, leading to fascinating new results in linear algebra, approximation theory, optimization, and machine learning. About sparse coding algorithms and their proven ability to perform well....
$149
Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms
by Olufisayo Omojokun- 0.0
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6 Weeks
Learn the basics of object-oriented programming and algorithms. Finally, students will gain experience walking through and analyzing algorithms that are applied on data (including objects) in many object-oriented programs. Describe the steps involved in the selection, insertion, and merge sort algorithms Describe the steps involved in the linear and binary search algorithms...
$199
Creating a Team Culture of Continuous Learning
by Alan Barstow, Ph.D. , Dana Kaminstein, Ph.D. , Ramya Kumar, MSOD, PGDHRM, SHRM-SCP , Amrita V. Subramanian- 4.5
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Approx. 10 hours to complete
There is mounting concern that organizational groups and teams often fail to learn from their past experiences. It’s pertinent to address this issue as groups and teams are often the main ways that work gets done in organizations. • The lack of organizational structures and support for teams and groups • Create an organizational environment that encourages learning and innovation...
Learning From Data (Introductory Machine Learning)
by Yaser S. Abu-Mostafa- 0.0
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10 Weeks
Introductory Machine Learning course covering theory, algorithms and applications. Identify basic theoretical principles, algorithms, and applications of Machine Learning Elaborate on the connections between theory and practice in Machine Learning Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations...
$49
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
This course focuses on core algorithmic and statistical concepts in machine learning. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks. Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others....
$1000
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