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  • An Introduction To Practical Deep Learning

Results for "an introduction to practical deep learning"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Creating a Team Culture of Continuous Learning

    Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Innovation, Organizational Development, Organizational Effectiveness, Creative Thinking, Problem Solving, Adaptability, Decision Making, Culture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    193 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, Responsible AI, Prompt Engineering, ChatGPT, Instructional Design, LLM Application, Ideation, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Developing Relationships

    Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Classroom Management, Teaching, Community Outreach, Student Engagement, Ethical Standards And Conduct

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Salesforce Introduction and Setup

    Skills you'll gain: User Accounts, No-Code Development, Application Design, Data Structures, User Interface (UI)

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.6
    Rating, 4.6 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

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

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Midjourney for Beginners: Craft an Exquisite Piece of AI Art

    Skills you'll gain: 3D Assets, Generative AI, Prompt Engineering, Digital Design, Graphics Software, Creativity, Design and Product, Marketing Design

    4.1
    Rating, 4.1 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular an introduction to practical deep learning courses

  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Creating a Team Culture of Continuous Learning: University of Pennsylvania
  • Generative AI as a Learning Design Partner: University of Michigan
  • Foundations of Teaching for Learning: Developing Relationships: Commonwealth Education Trust
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Salesforce Introduction and Setup: LearnKartS
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA

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