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Results for "MATLAB 程序设计入门"
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming
- Status: Preview
IIT Roorkee
Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Machine Learning, Data Science, Advanced Mathematics, Applied Mathematics, Python Programming
- Status: New
Skills you'll gain: Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
- Status: Free Trial
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Computer Programming, Animations, Python Programming
- Status: Preview
University of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
In summary, here are 10 of our most popular MATLAB 程序设计入门 courses
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
- Linear Algebra Basics: IIT Roorkee
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Select Topics in Python: Matplotlib: Codio
- Matrix Methods: University of Minnesota
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Principal Component Analysis with NumPy: Coursera Project Network