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  • Neural Networks And Deep Learning

Results for "Neural Networks and Deep Learning"


  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Power Automate: Building and Managing Automated Workflows

    Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, Workflow Management, Process Analysis, Microsoft Copilot, Microsoft Azure, Process Mapping, AI Workflows, Business Process Automation, Process Optimization, Automation, Application Lifecycle Management, Document Management, Event-Driven Programming

    2.8
    Rating, 2.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Getting Started with BigQuery Machine Learning

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Analytics, Predictive Analytics, Machine Learning, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Enterprise Modeling, Model Deployment, AI Workflows, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Machine Learning, Data Pipelines, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Investment and Portfolio Management

    Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Market, Investments, Securities (Finance), Financial Systems, Securities Trading, Asset Management, Behavioral Economics, Capital Markets, Investment Management, Equities, Performance Measurement, Finance, Financial Services, Performance Analysis, Risk Management, Return On Investment, Market Liquidity, Wealth Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.6K reviews

    Beginner · Specialization · 3 - 6 Months

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

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Utilizing Engaging Assessment with Boom Learning

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…555657…834

In summary, here are 10 of our most popular Neural Networks and Deep Learning courses

  • Interpretable machine learning applications: Part 5: Coursera
  • Power Automate: Building and Managing Automated Workflows: Whizlabs
  • Machine Learning with PySpark: Recommender System: Coursera
  • Getting Started with BigQuery Machine Learning: Google Cloud
  • Machine Learning in the Enterprise - Français: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Investment and Portfolio Management: Rice University
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Machine Learning with Small Data Part 1: Northeastern University

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