Search result for Introduction to genetic algorithm Online Courses & Certifications
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Hands on Google cloud platform(GCP) - Data Engineer
by Notez (Rent a Mind)- 0.0
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4.5 hours on-demand video
This course is exclusively designed by NoTEZ to teach about GCP in most simplest way possible. Module 1- Introduction Introduction to,Hadoop, Hadoop-bigger picture, Hadoop- In detail, HIVE, HBASE,PIG Introduction to Computing, Google compute engine(GCE), Preemptible Virtual Machine, Google APP engine (G A E), Google container engine ,Kubernetes ( GKE),Comparison,Labs Introduction to Machine Learning, Typical usage of Mechine Learning, Types,...
$12.99
Interacting with the System and Managing Memory
by Andrew D. Hilton , Anne Bracy , Genevieve M. Lipp- 4.4
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Approx. 23 hours to complete
The final course in the specialization Introduction to Programming in C will teach you powerful new programming techniques for interacting with the user and the system and dynamically allocating memory. Why We Need Interactivity and to Manage Memory Introduction to the Operating System Writing to Files Simple Call to malloc Call to realloc...
Java Programming: Principles of Software Design
by Robert Duvall , Owen Astrachan , Andrew D. Hilton , Susan H. Rodger- 4.6
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Approx. 13 hours to complete
Learn how to create programming solutions that scale using Java interfaces. Use timing data to analyze empirical performance; Welcome to the Course Introduction Introduction Interfaces to Avoid Duplication Introduction Developing an Algorithm Translating to Code Introduction Introduction Introduction Introduction Where To Go From Here...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python. Introduction to Supervised Machine Learning How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms...
Discrete Mathematics
by Dominik Scheder- 3.4
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Approx. 42 hours to complete
This course attempts to be rigorous without being overly formal. Introduction to the course How to Count Functions, Injections, Permutations, and Subsets Excursion to Discrete Probability: Computing the Expected Minimum of k Random Elements from {1,. Introduction to Graph Theory An Efficient Algorithm for Isomorphism of Trees Matchings in Bipartite Graphs - Basic Notions and an Algorithm...
Data Science: Natural Language Processing (NLP) in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
We will learn how to build and apply several useful NLP tools in this section, namely, character-level language models (using the Markov principle), and genetic algorithms. This is something that allows us to assign a score to a block of text that tells us how positive or negative it is....
$19.99
All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
by Rishi Bansal- 0.0
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17.5 hours on-demand video
This course is designed to cover maximum concepts of machine learning. Chapter - Introduction to Machine Learning - Installing Anaconda, how to use Spyder and Jupiter Notebook - Creating EC2, connecting to EC2 - Installing libraries, transferring files to EC2 instance, executing python scripts...
$12.99
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Competitive Programmer's Core Skills
by Alexander S. Kulikov , Alexander Logunov , Kirill Simonov , Aliaksei Tolstsikau- 4.6
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Approx. 32 hours to complete
During the course, you’ll learn everything needed to participate in real competitions — that’s the main goal. Along the way you’ll also gain useful skills for which competitive programmers are so highly valued by employers: ability to write efficient, reliable, and compact code, manage your time well when it’s limited, apply basic algorithmic ideas to real problems, etc....
Object Oriented Programming in Java
by Mia Minnes , Leo Porter , Christine Alvarado- 4.7
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Approx. 39 hours to complete
Welcome to our course on Object Oriented Programming in Java using data visualization. A good place to start is the navigation bar on the left. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Core: Introduction to Scope Core: Introduction to Polymorphism Core: Introduction to Event-Driven Programming Core: Introduction to Sorting...
Mathematics for Machine Learning: Linear Algebra
by David Dye , Samuel J. Cooper , A. Freddie Page- 4.7
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Approx. 19 hours to complete
Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Introduction to Linear Algebra and to Mathematics for Machine Learning Introduction to module 2 - Vectors Introduction to PageRank...
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