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机器学习

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1109 results for "机器学习"

DeepLearning.AI, Stanford University
Machine Learning
Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication
4.9
(9.3k reviews)
Beginner · Specialization · 1-3 Months
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming
4.4
(208 reviews)
Beginner · Course · 1-4 Weeks
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis
4.5
(241 reviews)
Beginner · Specialization · 1-3 Months
Free
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting
4.9
(8.1k reviews)
Beginner · Course · 1-4 Weeks
Free
DeepLearning.AI
AI For Everyone
Skills you'll gain: Machine Learning, Business Analysis, Applied Machine Learning, Business Transformation, Data Analysis, Data Model, Deep Learning, Exploratory Data Analysis, Forecasting, Human Computer Interaction, Natural Language Processing, People Analysis, Probability & Statistics, Reinforcement Learning, Statistical Analysis, Artificial Neural Networks, Machine Learning Algorithms
4.8
(37.9k reviews)
Beginner · Course · 1-4 Weeks
DeepLearning.AI
Advanced Learning Algorithms
Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis
4.9
(1.9k reviews)
Beginner · Course · 1-4 Weeks
Free
Stanford University
Introduction to Statistics
Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.6
(2.1k reviews)
Beginner · Course · 1-3 Months
DeepLearning.AI
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Skills you'll gain: Deep Learning, Machine Learning, Probability & Statistics, Statistical Machine Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Python Programming, General Statistics, Linear Algebra, Applied Machine Learning, Applied Mathematics, Dimensionality Reduction, Feature Engineering, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Statistical Visualization, Computer Programming, Tensorflow, Algorithms, Calculus, Probability Distribution, Regression, Theoretical Computer Science
4.9
(61.9k reviews)
Intermediate · Course · 1-4 Weeks
Stanford University
AI in Healthcare
Skills you'll gain: Machine Learning, Applied Machine Learning, Data Management, Finance, Leadership and Management, Clinical Data Management, Artificial Neural Networks, Data Analysis, Data Mining, Deep Learning, Machine Learning Algorithms, Payments, Regulations and Compliance, Risk Management, Accounting, Marketing
4.7
(1k reviews)
Beginner · Specialization · 3-6 Months

Searches related to 机器学习

機器學習基石上 (machine learning foundations)---mathematical foundations

機器學習基石下 (machine learning foundations)---algorithmic foundations

機器學習技法 (machine learning techniques)

人工智慧：機器學習與理論基礎 (artificial intelligence - learning & theory)

In summary, here are 10 of our most popular 机器学习 courses

Machine Learning: DeepLearning.AI
Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
Mathematics for Machine Learning and Data Science: DeepLearning.AI
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
Supervised Machine Learning: Regression and Classification: DeepLearning.AI
機器學習技法 (Machine Learning Techniques): National Taiwan University
AI For Everyone: DeepLearning.AI
Advanced Learning Algorithms: DeepLearning.AI
Introduction to Statistics: Stanford University
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI

Filter by

1109 results for "机器学习"

Machine Learning

Linear Algebra for Machine Learning and Data Science

Mathematics for Machine Learning and Data Science

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

Supervised Machine Learning: Regression and Classification

機器學習技法 (Machine Learning Techniques)

AI For Everyone

Advanced Learning Algorithms

Introduction to Statistics

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

AI in Healthcare

What is Data Science?

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