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"

  • DeepLearning.AI

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Jupyter, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning

    4.9 stars, 39K reviews, Beginner, Specialization, 1 - 3 Months

  • Packt

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Dimensionality Reduction, Fine-tuning

    Advanced · Course · 1 - 3 Months

  • Board Infinity

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Unsupervised Learning, Containerization, Development Testing, Code Reusability, Pandas (Python Package), Docker (Software), Restful API, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Edureka

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Predictive Modeling, Machine Learning Methods, Data Literacy, Machine Learning, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Logistic Regression, Data Processing, Model Optimization, Linear Algebra, Predictive Analytics, Data Manipulation, Decision Tree Learning, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Data Cleansing, Applied Machine Learning, Data Processing, Data Manipulation, Data Transformation, Classification And Regression Tree (CART), Data Pipelines, Machine Learning, Data Modeling, Data Validation, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

  • Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Model Evaluation, Computer Vision, Large Language Modeling, Reinforcement Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Optimization, Model Training, Keras (Neural Network Library), Cloud Deployment, Applied Machine Learning, AI Personalization, Cloud-Native Computing, Machine Learning

    4.5 stars, 1.5K reviews, Advanced, Specialization, 3 - 6 Months

  • Alberta Machine Intelligence Institute

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Project Management

    4.6 stars, 1.1K reviews, Intermediate, Specialization, 3 - 6 Months

  • Google

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning

    4.8 stars, 648 reviews, Advanced, Course, 1 - 3 Months

  • Alberta Machine Intelligence Institute

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Data Collection, Supervised Learning, Business Requirements, Unsupervised Learning, Artificial Intelligence

    4.7 stars, 748 reviews, Intermediate, Course, 1 - 4 Weeks

  • Simplilearn

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Machine Learning, Decision Tree Learning, Logistic Regression, Regression Analysis

    3.9 stars, 15 reviews, Beginner, Specialization, 1 - 3 Months

  • Board Infinity

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • Board Infinity

    From the course: Applied Machine Learning Systems with FastAPI for Developers·Lesson: Career Scope in Applied Machine Learning

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    Micro Lesson · 5 minutes