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Machine Learning: Concepts, Tools And Data Visualization
Machine Learning: Concepts, Tools And Data Visualization
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★★★★★
Regular price
€55.99
A01=Eunsoo Choi
A01=Minsoo Kang
AI
AlphaGo
ANN
Anomaly Detection
Artificial Intelligence
Author_Eunsoo Choi
Author_Minsoo Kang
Azure
Azure ML service
Backpropagation
Block Coding
Business IntelligenceMicrosoft
Category=UYQM
Classification
Clustering
CNN
DBN
DBSCAN
DNN
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
IBM Watson
K-Means
Kaggle
Labe
Logistic Regression
Machine Learning
Microsoft Azure Machine Learning Studio
MS Azure
Multilayer Perceptron
Perceptron
Prediction
Python
R
Regression
Reinforcement Learning
RNN
ROC
Supervised Learning
Support Vector Machine
Unsupervised Learning
Visualization
Watson Machine
Product details
- ISBN 9789811229367
- Publication Date: 29 Mar 2021
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Paperback
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This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.
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