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HUNTER

Machine Learning With Go
Год выпуска: 2018
Производитель: Packt
Сайт производителя: https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-go-video
Автор: Daniel Whitenack
Продолжительность: 2h48m
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: The mission of this course is to turn you into a productive, innovative data analyst who can leverage Go to build robust and valuable applications. To this end, the course clearly introduces the technical aspects of building predictive models in Go, but also helps you understand how machine learning workflows are applied in real-world scenarios.
This course shows you how to be productive in machine learning while also producing applications that maintain a high level of integrity. It also gives you patterns to overcome challenges that are often encountered when trying to integrate machine learning in an engineering organization.
You’ll begin by gaining a solid understanding of how to gather, organize, and parse real-work data from a variety of sources. Then you’ll develop a solid statistical toolkit that will allow you to quickly understand gain intuition about the content of a dataset. Finally, you’ll gain hands-on experience of implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages.
By the end, you’ll have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementations

Содержание

GATHERING AND ORGANIZING DATA
The Course Overview
Handling Data
CSV Files
JSON
SQL-like Databases
Caching
MATRICES, PROBABILITY, AND STATISTIC
Matrices and Vectors
Statistics
Probability
EVALUATION AND VALIDATION
Evaluation
Validation
REGRESSION
Linear Regression
Multiple Linear Regression
Nonlinear and Other Types of Regression
CLASSIFICATION
Logistic Regression
K-Nearest Neighbors
Decision Trees
CLUSTERING
Understanding Clustering
k-Means Clustering
TIME SERIES AND ANOMALY DETECTION
Representing Time Series Data in Go
Statistics Related to Time Series
Auto-Regressive Models
NEURAL NETWORKS
Understanding Neural Net Jargon
Utilizing the Simple Neural Network
DEPLOYING MODELS ON REMOTE MACHINES
Docker-izing the Model
Docker-izing Model Predictions
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, ~600kbps
Аудио: AAC, 48kHz, 132kbps, stereo

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