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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


  • Status: Free Trial
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    Coursera

    Applied Financial Analysis

    Skills you'll gain: Financial Modeling, Variance Analysis, Key Performance Indicators (KPIs), Bookkeeping, Financial Forecasting, Revenue Forecasting, Budget Management, Financial Statement Analysis, Business Reporting, Performance Reporting, Financial Auditing, Capital Budgeting, Financial Controls, Financial Reporting, Operating Budget, Financial Analysis, Report Writing, Process Improvement, Banking Services, Financial Data

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Learning Theory, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Awareness, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Board Infinity

    Blockchain Technology Applied

    Skills you'll gain: Blockchain, User Interface (UI), User Interface (UI) Design, User Interface and User Experience (UI/UX) Design, Cryptography, Secure Coding, Security Testing, Security Architecture Review, Web Development Tools, Security Controls, React Redux, Encryption, User Experience Design, Key Management, Cryptographic Protocols, Security Strategy, Application Security, Legal Technology, Vulnerability Assessments, Data Security

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, OpenShift, Istio, Kubernetes, Test Driven Development (TDD), Application Deployment, Devops Tools, Gherkin (Scripting Language), Jenkins, Agile Software Development, Scrum (Software Development), DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Machine Learning

    Intermediate · Course · 1 - 3 Months

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

  • Applied Financial Analysis: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Blockchain Technology Applied: Board Infinity
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Clustering and Classification with Machine Learning in R: Packt
  • IBM Applied DevOps Engineering: IBM
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud

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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