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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: Preview
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    E

    EDUCBA

    Introduction to AutoSAR

    Skills you'll gain: Embedded Software, Real-Time Operating Systems, Software Development, Software Design, Software Architecture, Embedded Systems, Configuration Management, Development Environment, Middleware, Systems Architecture, Application Development, Extensible Markup Language (XML), System Configuration, Application Frameworks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    S

    SkillsBooster Academy

    Context Engineering for Beginners

    Skills you'll gain: Context Engineering, Prompt Engineering, ChatGPT, Token Optimization, Context Management, Retrieval-Augmented Generation, Gemini, AI Workflows, Generative AI, AI Personalization, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Microsoft Copilot, Large Language Modeling, Workflow Management, Document Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Novartis

    Fundamentals of Good Clinical Practice: Recruitment & Trial

    Skills you'll gain: Good Clinical Practices (GCP), Informed Consent, Clinical Research Coordination, Clinical Research, Clinical Trials, Clinical Research Ethics, Institutional Review Board (IRB), Drug Development, Record Keeping, Clinical Documentation, Regulatory Compliance, Patient Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    227 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Applied Machine Learning, Deep Learning, C and C++, Performance Tuning, Memory Management, C++ (Programming Language), Dataflow, Digital Signal Processing, Linear Algebra, Distributed Computing, Hardware Architecture, Programming Principles, Computer Architecture, System Programming, Program Development, Machine Learning

    Build toward a degree

    2.9
    Rating, 2.9 out of 5 stars
    ·
    211 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Store, Data Warehousing, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Cloud Services, LLM Application, Application Frameworks, Generative AI, Large Language Modeling, Applied Machine Learning, Data Science, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    237 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta iOS Developer

    Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, User Research, UI/UX Research, Usability Testing, Apple iOS, Jest (JavaScript Testing Framework), Data Structures, Swift Programming, User Interface (UI), Unix Commands, Apple Xcode, Git (Version Control System), Persona (User Experience), GitHub, Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Risk Modeling, Artificial Intelligence and Machine Learning (AI/ML), Personalized Service, Digital Transformation, Data-Driven Marketing, Customer Insights, Machine Learning, Marketing Analytics, Machine Learning Methods, Customer Engagement, Risk Analysis, Driving engagement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    503 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Warehouse Engineer

    Skills you'll gain: Database Administration, Data Warehousing, Extract, Transform, Load, SQL, Data Pipelines, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, IBM Cognos Analytics, Apache Kafka, Bash (Scripting Language), Apache Airflow, Shell Script, IBM DB2, Data Transformation, Data Visualization, Data Store, Data Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    491 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, AI literacy, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    231 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    147 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Transformers for NLP and Computer Vision

    Skills you'll gain: Vision Transformer (ViT), Generative AI, OpenAI API, ChatGPT, Fine-tuning, Generative Model Architectures, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Natural Language Processing, AI powered creativity, Multimodal Prompts, Hugging Face, OpenAI, AI Orchestration, Transfer Learning, Generative AI Agents, Embeddings, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to AutoSAR: EDUCBA
  • Context Engineering for Beginners: SkillsBooster Academy
  • Fundamentals of Good Clinical Practice: Recruitment & Trial: Novartis
  • GPU Programming: Johns Hopkins University
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
  • Meta iOS Developer: Meta
  • AI Applications in Marketing and Finance: University of Pennsylvania
  • IBM Data Warehouse Engineer: IBM
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft

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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