검색
Statistical Classification

Related topics:콘볼루션 신경망 신용 위험 Keras 로지스틱 회귀 랜덤 포레스트 tensorflow python

필터링 기준

"statistical classification"에 대한 137개의 결과

DeepLearning.AI
Convolutional Neural Networks in TensorFlow
획득할 기술: Statistical Machine Learning, Python Programming, Machine Learning, Convolutional Neural Network, Deep Learning, Computer Programming, Statistical Programming, Computer Graphic Techniques, Machine Learning Algorithms, Statistical Classification, Tensorflow, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Computer Graphics
4.7
(7.4k개의 검토)
Intermediate · Course
University of Washington
Machine Learning: Classification
획득할 기술: Business Psychology, Decision Tree, Entrepreneurship, Business Analysis, Statistical Analysis, Estimation, Machine Learning Algorithms, General Statistics, Machine Learning, Data Analysis, Data Management, Data Structures, Probability & Statistics, Algorithms, Theoretical Computer Science, Exploratory Data Analysis, Logistic Regression, Applied Machine Learning, Statistical Classification, Supply Chain
4.7
(3.7k개의 검토)
Mixed · Course
University of Washington
Machine Learning
획득할 기술: Algorithms, Applied Machine Learning, Business Analysis, Business Psychology, Computational Logic, Computational Thinking, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Structures, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Estimation, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Classification, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.6
(15.6k개의 검토)
Intermediate · Specialization
Duke University
Excel to MySQL: Analytic Techniques for Business
획득할 기술: Algebra, Analysis, Big Data, Business Analysis, Business Communication, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Data Visualization Software, Database Design, Databases, Entrepreneurship, Exploratory Data Analysis, Finance, General Statistics, Investment Management, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Mysql, Probability & Statistics, Problem Solving, Regression, Research and Design, SQL, Software, Spreadsheet Software, Statistical Classification, Statistical Programming, Strategy and Operations, Tableau Software, Theoretical Computer Science
4.6
(14.6k개의 검토)
Beginner · Specialization

요약하자면, 여기에 가장 인기 있는 statistical classification 강좌 10개가 있습니다.

Convolutional Neural Networks in TensorFlow: DeepLearning.AI
Machine Learning with Python: IBM
Mastering Data Analysis in Excel: Duke University
Basic Image Classification with TensorFlow: Coursera Project Network
Machine Learning: Classification: University of Washington
Image Classification with CNNs using Keras: Coursera Project Network
Image Classification with Amazon Sagemaker: Coursera Project Network
Predict Employee Turnover with scikit-learn: Coursera Project Network
Support Vector Machines with scikit-learn: Coursera Project Network
Redes neuronales convolucionales con Keras: Coursera Project Network

살펴볼 만한 다른 주제

예술 & 인문학

338개의 강좌

1095개의 강좌

컴퓨터 공학

668개의 강좌

데이터 과학

425개의 강좌

145개의 강좌

471개의 강좌

수학 및 논리

70개의 강좌

137개의 강좌

물리 과학 및 공학

413개의 강좌

401개의 강좌

150개의 강좌