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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Popular Applied Machine Learning Courses and Certifications


  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Marketing, Customer Insights, Personalized Campaigns, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, AI Workflows, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Supply Chain Management, Data Transformation, Pandas (Python Package), Supply Chain Planning, Data Processing, Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics)

    3.7
    Rating, 3.7 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied machine learning courses

  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Building, Optimizing, and Validating Machine Learning Models: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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