Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.

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Results for "Machine Learning"

  • Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Model Training, Cloud Deployment, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

  • Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics

  • Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

  • Skills you'll gain: Plotly, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Plot (Graphics), Financial Forecasting, Model Evaluation, Forecasting, Applied Machine Learning, Financial Analysis, Data Visualization, Google Sheets, Equities, Machine Learning, Data Import/Export

  • Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Model Training, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Model Evaluation, Deep Learning, Machine Learning

  • Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment

  • Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning

  • Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

  • Skills you'll gain: Tensorflow, Convolutional Neural Networks, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Machine Learning

  • Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture

  • Skills you'll gain: Model Training, Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Data Science, Machine Learning, Cloud Computing