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  • Introduction To Deep Learning

Results for "introduction to deep learning "


  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Fundamentals

    Skills you'll gain: Encryption, Public Key Infrastructure, Cryptography, Network Security, Cybersecurity, Data Security, Cryptographic Protocols, Cyber Attacks, Advanced Encryption Standard (AES), Application Security, Information Technology, Computer Security Awareness Training, Cyber Security Strategy, Authentications, Authorization (Computing), Security Controls, Personally Identifiable Information, Security Awareness, Cyber Security Policies, Computer Security Incident Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Maximum Performance and Technology in Sports

    Skills you'll gain: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Applied Machine Learning, Analysis, Image Analysis, Descriptive Analytics, AI Enablement, Business Analytics, Statistical Methods, Data Collection, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AWS Fundamentals

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon Web Services, Serverless Computing, Amazon DynamoDB, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Event-Driven Programming, Cloud Storage, Solution Architecture, Cloud Computing Architecture, Data Migration, API Gateway, Amazon Elastic Compute Cloud, Public Cloud, Database Systems, Software Architecture, Cloud Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    People & Soft Skills: Essential for Professional Success

    Skills you'll gain: Active Listening, Problem Solving, Presentations, Collaboration, Root Cause Analysis, Interpersonal Communications, Conflict Management, Constructive Feedback, Professional Development, Communication, Social Skills, Virtual Teams, Collaborative Software, Teamwork, Public Speaking, Complex Problem Solving, Persuasive Communication, Professionalism, Accountability, Time Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

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

    Beginner · Specialization · 3 - 6 Months

Searches related to introduction to deep learning

introduction to deep learning
introduction to deep learning & neural networks with keras
introduction to deep learning for computer vision
introduction to deep learning with pytorch
introduction to tensorflow for artificial intelligence, machine learning, and deep learning
1…238239240…834

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

  • Cybersecurity Fundamentals: IBM
  • Meta Android Developer: Meta
  • Start Writing Prompts like a Pro: Google
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Maximum Performance and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • AWS Fundamentals: Amazon Web Services
  • Probabilistic Graphical Models: Stanford University
  • Databases and SQL for Data Science with Python: IBM

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