LINKEDIN LEARNING Applied Machine Learning: Algorithms

LINKEDIN LEARNING Applied Machine Learning: Algorithms

LINKEDIN LEARNING APPLIED MACHINE ALGORITHMS-BiFiSO
English | Size: 348.97 MB
Category: Tutorial

What you'll learn
Models vs. algorithms
Cleaning continuous and categorical variables
Tuning hyperparameters
Pros and cons of logistic regression
Fitting a support vector machines model
When to consider using a multilayer perceptron model
Using the random forest algorithm
Fitting a basic boosting model
In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. In this course-the second and final installment in the series-Derek builds on top of that architecture by exploring a variety of algorithms, from logistic regression to gradient boosting, and showing how to set a structure that guides you through picking the best one for the problem at hand. Each algorithm has its pros and cons, making each one the preferred choice for certain types of problems. Understanding what actually drives each algorithm, as well as their benefits and drawbacks, can give you a significant competitive advantage as a data scientist.
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LabVIEW 2017 Analytics and Machine Learning Toolkit 190612

LabVIEW 2017 Analytics and Machine Learning Toolkit 190612

LabVIEW 2017 Analytics and Machine Learning Toolkit 190612

LabVIEW 2017 Analytics and Machine Learning Toolkit | 181.7 mb

National Instruments (NI), the provider of solutions that enable engineers and scientists to solve the world's greatest engineering challenges, announced LabVIEW 2017 Analytics and Machine Learning Toolkit. This solution includes VIs for training machine learning models that discover patterns in large amounts of data. You can deploy trained machine learning models to recognize patterns in new data.

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Machine Learning Series Decision Tree Algorithm in Python .

Machine Learning Series Decision Tree Algorithm in Python .

Machine Learning Series: Decision Tree Algorithm in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 16M | 246 MB
Genre: eLearning | Language: English

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Python Machine Learning By Example- Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition

Python Machine Learning By Example- Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition

Python Machine Learning By Example- Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition
English | Size: 249.77 MB
Category: Tutorial

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn
A surging interest in machine learning is due to the fact that it evolutionzies automation by learning patterns in data and using them to make predictions and decisions. Your ML journey starts with this book, as the second edition of the bestseller, Python Machine Learning By Example.
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Linkedin Learning Applied Machine Learning Algorithms-XCODE

Linkedin Learning Applied Machine Learning Algorithms-XCODE

Linkedin Learning Applied Machine Learning Algorithms-XCODE
English | Size: 346.31 MB
Category: Tutorial

In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. In this course-the second and final installment in the series-Derek builds on top of that architecture by exploring a variety of algorithms, from logistic regression to gradient boosting, and showing how to set a structure that guides you through picking the best one for the problem at hand. Each algorithm has its pros and cons, making each one the preferred choice for certain types of problems. Understanding what actually drives each algorithm, as well as their benefits and drawbacks, can give you a significant competitive advantage as a data scientist.
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Instagram Cash Machine Affiliate Marketing On Instagram .

Instagram Cash Machine Affiliate Marketing On Instagram .

Instagram Cash Machine: Affiliate Marketing On Instagram
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 601 MB
Duration: 1.5 hours | Genre: eLearning Video | Language: English

How To Successfully Do Affiliate Marketing With Instagram

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Machine Learning Linear Regression [Step by Step Guide]


Machine Learning Linear Regression [Step by Step Guide]

Machine Learning : Linear Regression [Step by Step Guide]
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 39M | Lec: 7 | 315 MB
Genre: eLearning | Language: English

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Options - Creating a Money Machine - Iron Condor Basics


Options - Creating a Money Machine - Iron Condor Basics

Options - Creating a Money Machine - Iron Condor Basics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 8 | 101 MB
Genre: eLearning | Language: English

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Data Science and Machine Learning Prerequisite Mathematics .

Data Science and Machine Learning Prerequisite  Mathematics .

Data Science and Machine Learning Prerequisite : Mathematics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 148 MB
Genre: eLearning | Language: English

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Options - Creating a Money Machine - Iron Condor Basics .

Options - Creating a Money Machine - Iron Condor Basics .

Options - Creating a Money Machine - Iron Condor Basics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 8 | 101 MB
Genre: eLearning | Language: English

Download Now