Search result for Selecting algorithms Online Courses & Certifications
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Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
Approx. 22 hours to complete
Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Adding all of these algorithms to your skillset is crucial for selecting the best tool for the job. Decision Trees Compared to Other Algorithms...
Basic Cryptography and Programming with Crypto API
by Edward Chow- 4.3
Approx. 16 hours to complete
We will also learn the efficient symmetric key cryptography algorithms for encrypting data, discuss the DES and AES standards, study the criteria for selecting AES standard, present the block cipher operating modes and discuss how they can prevent and detect the block swapping attacks, and examine how to defend against replay attacks....
Machine Learning No-Code Approach: Using Azure ML Studio
by Aderson Oliveira- 4.5
2.5 hours on-demand video
- Basics of the main three main types of Machine Learning Algorithms - Understanding and selecting the features from the dataset - Changing the metadata of features to work better with ML Algorithms - Selecting the Algorithm...
$12.99
Applied Machine Learning with R (Trading Use Case) - 2020
by The Trading Whisperer- 3.7
5.5 hours on-demand video
Learn the complete quantitative finance workflow and use machine learning algorithms in R to develop trading strategies The course is designed to fully immerse you into the complete quantitative trading/finance workflow, going from hypothesis generation to data preparation, feature engineering and training testing of multiple machine learning algorithms (backtesting)....
$9.99
Identifying Patient Populations
by Laura K. Wiley, PhD- 4.5
Approx. 13 hours to complete
Manual Record Review: Selecting Reviewers and Records Methods - Selecting Reviewers Methods - Selecting Records for Review Selecting a Final Algorithm...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Describe and use common clustering and dimensionality-reduction algorithms Selecting a clustering algorithm Comparing Algorithms Clustering Algorithms Comparing Clustering Algorithms...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Describe and use common clustering and dimensionality-reduction algorithms Selecting a clustering algorithm Comparing Algorithms Clustering Algorithms Comparing Clustering Algorithms...
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Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
Approx. 17 hours to complete
– How predictive modeling algorithms work, including decision trees, logistic regression, and neural networks – How to pick a tool, selecting from the many machine learning software options...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
Approx. 17 hours to complete
First algorithms Selecting a portfolio of assets Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes Utilize powerful Python libraries to implement machine learning algorithms in case studies...