Search result for Linear functions Online Courses & Certifications
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Machine Learning and Data Mining with Weka - For Beginners
by Shadi Oweda- 4.2
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2 hours on-demand video
By exploiting Weka's advanced facilities to conduct machine learning experiments, in order to understand algorithms, classifiers and functions such as ( Naive Bayes, Neural Network, J48, OneR, ZeroR, KNN, linear regression & SMO)....
$11.99
Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. Activation functions Activation Functions...
The Stock Prediction & Math Functions with Data Bootcamp
by Mammoth Interactive- 2.9
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25 hours on-demand video
Learn Python NumPy and predict the stock market with artificial intelligence and TensorFlow! Master core programming. Do you want to predict the stock market using artificial intelligence? Join us in this course. You'll also learn how to use NumPy 1. 12. 0, the fundamental package for scientific computing with Python! "I love the pace of this course....
$13.99
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD
by Greg Mayer- 0.0
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3 Weeks
This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. space, to characterize vectors and linear systems Apply least-squares and multiple regression to construct a linear model from a set of data...
$199
Genetics and Molecular Biology for Medical Students
by Dr Fatahiya Kashif- 3.7
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3.5 hours on-demand video
In addition to detailed explanation of the structure and functions of nucleotides and nucleic acids, Dr Fatahiya Kashif explains how the linear DNA in a human cell is packaged in a highly organized and compact manner within the 23 pairs of chromosomes without being entangled....
$12.99
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
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Approx. 32 hours to complete
We then analyze the data using visualizations and linear regression. 2 Introduction to Python Functions 3 Linear Regression in Python...
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
by Mary Hudachek-Buswell- 0.0
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5 Weeks
This Data Structures & Algorithms course extends beyond linear data structures in CS1332xI to the nonlinear and hierarchical data structures here in CS1332xII. The course does require prior knowledge of Java, object-oriented programming and linear data structures. The key-value pairs are stored in an unordered manner based on hash codes and compression functions that translate keys into integers....
$149
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Mastering Data Analysis in Excel
by Jana Schaich Borg , Daniel Egger- 4.2
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Approx. 21 hours to complete
You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel. Functions on Individual Cells Functions on a Set of Numbers...
Programming Numerical Methods in Python
by Murad Elarbi- 4.5
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12.5 hours on-demand video
At the end of each section, a number of SciPy numerical analysis functions are introduced by examples. In this way, the student will be able to program his codes from scratch and in the same time use the advanced library functions in his work. Roots of High-Degree EquationsInterpolation and Curve FittingNumerical DifferentiationNumerical IntegrationSystems of Linear EquationsOrdinary Differential Equations...
$15.99
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. -Understand how to use supervised learning approaches to approximate value functions Moving to Parameterized Functions The Linear TD Update...
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