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  • Advanced Machine Learning

Results for "advanced machine learning"


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    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Machine Learning Methods, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics

    3.6
    Rating, 3.6 out of 5 stars
    ·
    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Advanced Excel Data Processing and VBA Automation

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Vision Transformer (ViT), Artificial Neural Networks, Transfer Learning, Model Deployment, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, PyTorch (Machine Learning Library), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

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    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    599 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
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    C

    Coursera

    Level Up: Advanced SQL for Data Engineering

    Skills you'll gain: Star Schema, Data Infrastructure, Data Governance, Data Modeling, Data Strategy, Data Architecture, Data Migration, Database Design, Correlation Analysis, Stored Procedure, Data Pipelines, Data Lakes, Infrastructure as Code (IaC), Data Validation, Disaster Recovery, Role-Based Access Control (RBAC), Compliance Auditing, CI/CD, Resource Management, Performance Management

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    613 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Advanced Tableau

    Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    33 reviews

    Advanced · Specialization · 3 - 6 Months

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

  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Reinforcement Learning in Finance: New York University
  • Advanced Excel Data Processing and VBA Automation: Coursera
  • Advanced Deep Learning Architectures: Edureka
  • Advanced Machine Learning and Deep Learning: Packt
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • MLOps | Machine Learning Operations: Duke University
  • Level Up: Advanced SQL for Data Engineering: Coursera
  • The Nuts and Bolts of Machine Learning: Google
  • SAS Machine Learning Engineer: SAS

Frequently Asked Questions about Advanced Machine Learning

It depends on your learning style and whether you want to focus more on theory or hands-on skills using Python:

  • The original Supervised Machine Learning: Regression and Classification course is great if you want a deep, math-focused understanding of ML algorithms and don’t mind using Octave/MATLAB.
  • The Machine Learning Specialization is better if you want modern, Python-based training that’s more applied and modular.
  • If you’re not a developer or want to understand what machine learning is and how it impacts work and society, start with AI For Everyone—Andrew Ng’s non-technical introduction to AI concepts, business use cases, and ethical considerations.
  • Interested in building real-world applications with language models like ChatGPT? Consider ChatGPT Prompt Engineering for Developers (Guided Project) by DeepLearning.AI and OpenAI—it’s a fast, practical way to understand LLM behavior and prompt design. ‎

Try Andrew Ng's Machine Learning Specialization for learners who want to use practical tools right away. ‎

A course teaches one focused topic—offering concise, standalone learning experiences.

  • Machine Learning (Octave/MATLAB; foundational algorithms and math)
  • AI For Everyone (non-technical intro to AI impacts and strategy)
  • Neural Networks and Deep Learning (part of a larger specialization)

A Specialization is a curated series of courses—designed to build expertise through a structured progression.

  • Machine Learning Specialization (3 courses; Python-based, covering supervised & unsupervised methods)
  • Deep Learning Specialization (5 courses; focused on neural networks, CNNs, RNNs, and project structure)

A Professional Certificate is a career-ready program—often including hands-on projects and aligned with industry roles.

  • DeepLearning.AI TensorFlow Developer Professional Certificate (covers TensorFlow, model building, deployment workflows) ‎

You'll want to make sure you have a strong foundation of machine learning fundamentals before moving onto advanced concepts and classes. It's helpful to know the fundamentals of scalable data science and mathematics, including linear algebra and multivariate calculus. Programming, especially in Python, is also recommended, as is basic knowledge of SQL. ‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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