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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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    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
    Free Trial
    B

    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: New
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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

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Introduction to Applied Cryptography

    Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Key Management, Advanced Encryption Standard (AES), Encryption, Cryptographic Protocols, Public Key Cryptography Standards (PKCS), Authentications, Arithmetic, Algorithms, Brute-force attacks, Applied Mathematics, Data Integrity, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Keras (Neural Network Library), Model Deployment, Machine Learning Software, Data Quality, Data Preprocessing, Machine Learning Methods, Business Metrics, Machine Learning, Applied Machine Learning, Dataflow, Artificial Neural Networks, Logistic Regression, Cloud Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 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

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

  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Blockchain Technology Applied: Board Infinity
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Statistics You Need to Know for Machine Learning: SAS
  • Data and Machine Learning for Technical Product Managers: Coursera
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Introduction to Applied Cryptography: University of Colorado System
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Naive Bayes 101: Resume Selection with Machine Learning: 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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