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  • Artificial Intelligence And Machine Learning Ai Ml

Results for "artificial intelligence and machine learning (ai/ml)"


  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Fine-tuning, Keras (Neural Network Library), Model Training, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Data Presentation, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning, Feature Engineering, Applied Machine Learning, Data Pipelines, Python Programming, Numerical Analysis, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Applied Python: Web Dev, Machine Learning & Cryptography

    Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Cryptographic Protocols, Regression Analysis, Apache, Web Development, Web Scraping, Model Training, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Secure Coding, Public Key Cryptography Standards (PKCS), Natural Language Processing, Web Applications, Key Management, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75 reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Deep Learning and Modern AI Architectures

    Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, AI Workflows, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Production Machine Learning Systems - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Data Validation, Google Cloud Platform, Tensorflow, Model Optimization, Applied Machine Learning, Systems Architecture, Software Architecture, Distributed Computing, Performance Tuning, Scalability, Data Pipelines, Hybrid Cloud Computing, Dependency Analysis

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    418 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Leadership Strategies for AI and Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Human Centered Design, Problem Solving, Critical Thinking and Problem Solving, AI Security, AI Enablement, Business Leadership, Strategic Leadership, User Centered Design, AI Product Strategy, Solution Design, Generative Adversarial Networks (GANs), Strategic Thinking, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    242 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    AI Automation and Agentic AI with n8n + ChatGPT + Gen AI

    Skills you'll gain: Email Automation, Agentic Workflows, Generative AI Agents, Retrieval-Augmented Generation, AI Workflows, Business Process Automation, ChatGPT, Product Automation, Model Context Protocol, Automation, Vector Databases, Agentic systems, Prompt Engineering, Workflow Management, Jira (Software), Social Media Campaigns, Agile Methodology, Context Management, Waterfall Methodology

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular artificial intelligence and machine learning (ai/ml) courses

  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
  • Deep Learning and Modern AI Architectures: Coursera
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Production Machine Learning Systems - Português Brasileiro: Google Cloud
  • Build a Machine Learning Web App with Streamlit and Python: Coursera

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