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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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    Coursera

    Applied Lifecycle Marketing

    Skills you'll gain: Data-Driven Marketing, Customer Retention, Email Automation, Marketing Automation, HubSpot CRM, Marketing Strategies, Customer Analysis, Marketing Analytics, Customer Relationship Management (CRM) Software, Target Audience, Email Marketing, Data-Driven Decision-Making, Brand Loyalty, Customer Insights, B2B Sales, Marketing Effectiveness, Data Cleansing, Lead Generation, Growth Strategies, E-Commerce

    Intermediate · Specialization · 3 - 6 Months

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    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

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    Madecraft

    Applied Data Analytics

    Skills you'll gain: Data Storytelling, Dashboard, Dashboard Creation, Business Analytics, Analytics, Social Network Analysis, Fraud detection, Data Analysis, Data Presentation, Business Intelligence, Marketing Analytics, Pandas (Python Package), Analytical Skills, Network Analysis, Interactive Data Visualization, Power BI, Plot (Graphics), Exploratory Data Analysis, Data Visualization, Python Programming

    Beginner · Specialization · 3 - 6 Months

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    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
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

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    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making

    4.4
    Rating, 4.4 out of 5 stars
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    126 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 1 - 3 Months

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    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Fine-tuning, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning

    Mixed · Course · 1 - 3 Months

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    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

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    The State University of New York

    Applied Digital Literacy

    Skills you'll gain: Digital Design, digital literacy, Infographics, Content Creation, Graphic Design, Digital Publishing, Brainstorming, Planning, Information Management, Research, Literacy, Lifelong Learning, Critical Thinking, Investigation, Analytical Skills, Digital Communications, Multimedia, Intellectual Property, Peer Review, Communication

    4.8
    Rating, 4.8 out of 5 stars
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    Beginner · Specialization · 3 - 6 Months

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

  • Applied Lifecycle Marketing: Coursera
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Applied Data Analytics: Madecraft
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Machine Learning with Small Data Part 1: Northeastern 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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