Search result for Introduction to genetic algorithm Online Courses & Certifications
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Programming Fundamentals
by Andrew D. Hilton , Genevieve M. Lipp , Anne Bracy- 4.7
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Approx. 18 hours to complete
Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. Introduction to Types Introduction to Sorting Sample PB&J Algorithm with Feedback...
Whole genome sequencing of bacterial genomes - tools and applications
by Lina Cavaco , Pimlapas Leekitcharoenphon- 4.6
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Approx. 7 hours to complete
Describe how to do de novo assembly from raw reads to contigs Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing Introduction to Next-Generation sequencing (NGS)...
Ensemble Machine Learning in Python : Adaboost, XGBoost
by Ankit Mistry- 4.4
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4 hours on-demand video
Let's say you want to take one of the very important decision in your life, it will be a choosing your career or choosing your life partner. So welcome to my course on and Ensemble Machine learning with Python. Nothing new here to invent but depend on multiple existing algorithm to improve model....
$11.99
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
Introduction to Databricks (Optional) Introduction to the Platform (Optional) Introduction to Apache Spark (Optional) Introduction to Delta Lake (Optional) Introduction to K-means Clustering Introduction to Principal Components Analysis Introduction to Feature Engineering Introduction to Feature Selection Introduction to Ensemble Modeling Lesson Introduction Introduction to Hyperparameters Lesson Introduction Introduction to Cross-Validation Apply hyperparameter tuning and cross-validation strategies to improve model performance....
Optimization: principles and algorithms - Linear optimization
by Michel Bierlaire- 0.0
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5 Weeks
Introduction to linear optimization, duality and the simplex algorithm. Introduction to linear optimization, duality and the simplex algorithm. Formulation: you will learn from simple examples how to formulate, transform and characterize an optimization problem. Duality: you will learn how to derive a companion problem called the "dual". Simplex method: you will learn an algorithm to solve a linear optimization problem....
$49
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
by Ge Gao 高歌, Ph.D. , Liping Wei 魏丽萍, Ph.D.- 4.4
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Approx. 25 hours to complete
A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research....
Genomics for Law
by Dr. Gene E. Robinson , Dr. Jennifer K. Robbennolt- 4.8
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Approx. 12 hours to complete
Introduction to Genomics for Law Introduction to Genomics for Law Introduction to the Science of Genomics Introduction to Genomics and Criminal Law Introduction to Genomics and Criminal Procedure Introduction to CRISPR Technology Introduction to Genomics and Tort Law Introduction to Privacy and Genomics Introduction to HIPAA Introduction to the Legal and Ethical Issues in Genomics...
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Robotics: Computational Motion Planning
by CJ Taylor- 4.3
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Approx. 11 hours to complete
In this course we will consider the problem of how a robot decides what to do to achieve its goals. Introduction and Graph-based Plan Methods 1: Introduction to Computational Motion Planning 3: Dijkstra's Algorithm 4: A* Algorithm 1: Introduction to Configuration Space 1: Introduction to Probabilistic Road Maps 3: Introduction to Rapidly Exploring Random Trees...
Artificial Intelligence Projects with Python-HandsOn: 2-in-1
by Packt Publishing- 3.6
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4 hours on-demand video
In this project, a music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning wherein you will use OpenAI Gym platform and Q-learning algorithm to build a game-playing AI....
$9.99
The Introduction to Quantum Computing
by Сысоев Сергей Сергеевич- 4.3
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Approx. 17 hours to complete
The main obstacle here is the word "quantum", which refers to quantum mechanics - one of the most counter-intuitive ways to describe our world. These two are required and they have to be enough. Introduction to Introduction Shor's Algorithm...
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