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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


  • A

    Automatic Data Processing, Inc. (ADP)

    Getting Started with U.S. Payroll Fundamentals

    Skills you'll gain: Payroll, Payroll Administration, Payroll Processing, Payroll Tax, Labor Compliance, Compensation Management, Labor Law, Benefits Administration, Employee Onboarding, Tax Compliance, Problem Solving, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Università di Napoli Federico II

    English Pre-Beginner

    Skills you'll gain: English Language, Language Learning, Language Competency, Vocabulary, Grammar, Oral Comprehension

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Principles of Data Science

    Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • G

    Georgia Institute of Technology

    Lesson | Organize Your Pitch

    Skills you'll gain: Presentations, English Language, Sales Presentations, Business Communication, Verbal Communication Skills, Public Speaking, Organizational Skills

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, Generative AI, Embeddings, Context Management, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • P

    Peking University

    Chinese Characters for beginner (3) 汉字(3)

    Skills you'll gain: Language Learning, Vocabulary, Literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

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

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    G

    Google

    Google AI Essentials

    Skills you'll gain: Generative AI, Technology Roadmaps, Critical Thinking, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles

    Intermediate · Course · 1 - 3 Months

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

  • Getting Started with U.S. Payroll Fundamentals: Automatic Data Processing, Inc. (ADP)
  • English Pre-Beginner: Università di Napoli Federico II
  • Principles of Data Science: Packt
  • Vision Models: Train and Evaluate: Coursera
  • Lesson | Organize Your Pitch: Georgia Institute of Technology
  • Understand RAG Basics: Coursera
  • Databricks ML in Action: Packt
  • Chinese Characters for beginner (3) 汉字(3): Peking University
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Data Science: Foundations using R: Johns Hopkins University

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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