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Image Classification Courses

Image classification courses can help you learn techniques for identifying and categorizing images, building neural networks, and implementing convolutional neural networks (CNNs). You can also develop skills in data preprocessing, model evaluation, and performance optimization. Many courses introduce tools like TensorFlow and PyTorch, that support training models and deploying AI applications.


Popular Image Classification Courses and Certifications


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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    University of Michigan

    투자 기술의 혁신: AI

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing, Supervised Learning

    Beginner · Course · 1 - 3 Months

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    Simplilearn

    Fundamental of Reinforcement Training

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

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    University of Maryland, College Park

    Digital Marketing 2

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

Searches related to image classification

image classification with keras: build & optimize
image classification on autopilot with aws autogluon
basic image classification with tensorflow
tensorflow for beginners: basic binary image classification
machine learning with chatgpt: image classification model
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In summary, here are 10 of our most popular image classification courses

  • Statistical Learning for Engineering Part 1: Northeastern University
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Neural Models and Machine Translation: Edureka
  • 투자 기술의 혁신: AI: University of Michigan
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Fundamental of Reinforcement Training : Simplilearn
  • Data Science Fundamentals, Part 2: Pearson
  • Data Science Fundamentals Part 2: Unit 3: Pearson

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