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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


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    DeepLearning.AI

    IA Para Todos (Español)

    Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Solution Architecture and Ethical AI Design

    Skills you'll gain: Responsible AI, Technical Documentation, Artificial Intelligence and Machine Learning (AI/ML), Enterprise Architecture, Solution Architecture, AI Workflows, Artificial Intelligence, Model Evaluation, Machine Learning, Software Architecture, Computer Science, Scalability, Natural Language Processing, Data Integration, Image Analysis, Data Processing, Algorithms, Data Science

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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    Pragmatic AI Labs

    Hugging Face Hub and Ecosystem Fundamentals

    Skills you'll gain: Hugging Face, Model Deployment, Transfer Learning, MLOps (Machine Learning Operations), Data Processing, Model Evaluation, Image Analysis, Natural Language Processing, Applied Machine Learning, Data Pipelines, Knowledge of Apple Hardware

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Transform Audio: Extract Features & Augment Models

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Feature Engineering, Digital Signal Processing, Data Transformation, Model Evaluation, Time Series Analysis and Forecasting, Data Pipelines, Data Manipulation, Data Wrangling, System Design and Implementation, NumPy

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC)

    4.7
    Rating, 4.7 out of 5 stars
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    58K reviews

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Statistical Reporting, Business Intelligence, Project Design, Project Management, Communication, Stakeholder Communications, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    3.9K reviews

    Advanced · Course · 1 - 3 Months

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    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Benchmarking, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Software Testing, CI/CD, Scalability, Dashboard, Benchmarking, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

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    Automatic Data Processing, Inc. (ADP)

    Fundamentals of Benefit Strategies

    Skills you'll gain: Compensation and Benefits, Benefits Administration, Compensation Analysis, Compensation Strategy, Compensation Management, Business Strategy, Strategic Communication, Regulatory Requirements, Communication Strategies, Benchmarking, Data-Driven Decision-Making, Compliance Management, Employee Surveys, Employee Retention

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • IA Para Todos (Español): DeepLearning.AI
  • Solution Architecture and Ethical AI Design: Coursera
  • Introduction to Statistics: Stanford University
  • Hugging Face Hub and Ecosystem Fundamentals: Pragmatic AI Labs
  • Transform Audio: Extract Features & Augment Models: Coursera
  • Architecting with Google Compute Engine: Google Cloud
  • Apply Data Analytics Using Python and Pandas: EDUCBA
  • Foundations of Data Science: Google
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Choose Cost-Effective ML Algorithms Fast: 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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