Search result for Introduction to genetic algorithm Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 324 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Customer lifetime value predictive model with Python
by Datagist INC- 3.6
-
![]()
![]()
![]()
![]()
![]()
5.5 hours on-demand video
In addition to the business value you can absorb from the course, I also teach you some practical statistical, machine learning and AI algorithm knowledge and skills, combined with the Python programming coding. Lifetime package in Python to create BG/NBD CLV model. Introduction of gradient boost tree algorithms’ framework and implementation including Xgboost and Lightgbm algorithm into CLV modeling....
$11.99
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application. An Introduction to R Sample EM algorithm for clustering problems Sample EM algorithm for classification problems...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. 第二講：Learning to Answer Yes/No Perceptron Learning Algorithm (PLA) Probability to the Rescue...
Digital Systems: From Logic Gates to Processors
by Elena Valderrama , Jean-Pierre Deschamps , Lluis Terés , Merce Rullan , Joaquín Saiz Alcaine , David Bañeres , Juan Antonio Martínez- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 29 hours to complete
Arithmetic components + Introduction to VHDL 2 (1outof2): Introduction to VHDL - Lexicon, syntax and structure 2 (2outof2): Introduction to VHDL - Lexicon, syntax and structure 3 (1outof2): Introduction to VHDL - Sequential sentences 3 (2outof2): Introduction to VHDL - Sequential sentences 4 (1outof2): Introduction to VHDL - Concurrent sentences 4 (2outof2): Introduction to VHDL - Concurrent sentences...
The Science of Teams (TSoT) - Theory
by David Lady- 5
-
![]()
![]()
![]()
![]()
![]()
2 hours on-demand video
This course serves as an introduction to the science of teams and the team solution algorithm so you can see if it is right for you and gain an understanding of significant tools you can add to your leadership tool-belt....
$49.99
Project Planning and Machine Learning
by David Sluiter- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
* How to staff, plan and execute a project * How to build a bill of materials for a product Introduction Segment 1 - Learning Outcomes, Introduction to a Design Process Access to Course Resources Introduction Segment 1 - Learning Outcomes, Introduction to Thermistors Segment 4 - Introduction to Predictive Analytics...
Distributed Programming in Java
by Vivek Sarkar- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications. • Approaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming Welcome to the Course! 1 Introduction to Map-Reduce Demonstration: Page Rank Algorithm in Spark 1 Introduction to Sockets...
Related searches
Machine Learning using Python
by EDU CBA- 3.7
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
This training is an introduction to the concept of machine learning, its algorithms and application using Python. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. This training is an introduction to the concept of machine learning, its algorithms and application using Python....
$12.99
Industrial Biotechnology
by Prof. Nicholas Turner , Prof. Nigel Scrutton- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Welcome to Industrial Biotechnology Introduction from Nigel Scrutton Overview and introduction Introduction from Rainer Breiting Introduction to Synthetic Biology: Visions for Biotechnology 2. Introduction from James Winterburn Introduction from James Lawrence and Michael Sulu Introduction to Biochemical and Bioprocess Engineering Introduction from Nick Turner and Andy Wells Introduction from David Leys Introduction to glycoscience...
Data for Machine Learning
by Anna Koop- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. , be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). Introduction to the Course Match Data to the needs of the learning Algorithm...
Previous
