Applied Machine Learning

Applied Machine Learning is a multidisciplinary approach to constructing algorithms that can learn from and predict future data. Coursera's Applied Machine Learning catalogue provides you with the necessary knowledge and skills to effectively use machine learning in a range of practical applications. You'll learn how to process and analyze large-scale data, build predictive models using supervised and unsupervised learning techniques, and apply these models to real-world problems such as image and speech recognition, autonomous driving, and predictive analytics. Enhance your problem-solving abilities and gain a competitive edge in fields like data science, artificial intelligence, and software engineering by mastering machine learning techniques such as decision trees, neural networks, regression, and clustering.

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Results for "Applied 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: 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: 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: PyTorch (Machine Learning Library), Model Training, Image Analysis, Convolutional Neural Networks, Computer Vision, Applied Machine Learning, Model Evaluation, Deep Learning, Data Preprocessing

  • 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: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning

  • Skills you'll gain: Model Training, Model Evaluation, Unsupervised Learning, Applied Machine Learning, Microsoft Azure, Machine Learning Methods, Data Validation, Unstructured Data, No-Code Development, Data Capture, Data Processing, Cloud Services

  • Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Model Training, Recurrent Neural Networks (RNNs), Machine Learning, Deep Learning