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  • Introduction To Deep Learning

Results for "introduction to deep learning "


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Strategizing the Use of Generative AI in Learning Design

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, ChatGPT, LLM Application, Education Software and Technology, Design Strategies, Artificial Intelligence, Data Ethics, Content Creation, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Cambridge

    Learning and memory in the brain: a guide for teachers

    Skills you'll gain: Human Learning, Child Development, Teaching, Learning Theory, Instructional Strategies, Pedagogy, Learning Strategies, Developmental Disabilities, Working With Children, Disabilities, Autism Spectrum Disorders, Special Education, Differentiated Instruction, Neurology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn to code with AI

    Skills you'll gain: HTML and CSS, Mobile Development, ChatGPT, GitHub, Front-End Web Development, Javascript, Application Deployment, Web Development, Responsive Web Design, Video Game Development, Application Development, Cascading Style Sheets (CSS), Computer Programming, Database Application, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    135 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Big Data, Applied Machine Learning, Data Pipelines, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Campus to Corporate Training Program

    Skills you'll gain: Teamwork, Active Listening, Problem Solving, Emotional Intelligence, Collaboration, Verbal Communication Skills, Growth Mindedness, Team Leadership, Productivity, Personal Integrity, Workplace Bullying Intervention, Compliance Management, Information Privacy, Security Controls, Overcoming Obstacles, Accountability, Communication, Mental Health, Diversity Awareness, Diversity and Inclusion

    4.8
    Rating, 4.8 out of 5 stars
    ·
    436 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to introduction to deep learning

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introduction to deep learning with pytorch
introduction to tensorflow for artificial intelligence, machine learning, and deep learning
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In summary, here are 10 of our most popular introduction to deep learning courses

  • Strategizing the Use of Generative AI in Learning Design : University of Michigan
  • Learning and memory in the brain: a guide for teachers: University of Cambridge
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Learn to code with AI: Scrimba
  • Machine Learning: Random Forest with Python from Scratch©: Packt

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