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  • Machine Learning Methods

Results for "machine learning methods"


  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

    Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Fraud Using Data Analytics and R

    Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Déployer et adapter des modèles d'IA avec Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, Containerization, Performance Tuning, Machine Learning Methods, Scalability

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    使用 Cloud Run 部署及擴充 AI 模型

    Skills you'll gain: Model Deployment, Cloud Deployment, Google Cloud Platform, Generative AI, Serverless Computing, Application Deployment, AI Enablement, MLOps (Machine Learning Operations), Artificial Intelligence, Machine Learning Methods, Scalability, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDHEC Business School

    Python and Machine-Learning for Asset Management with Alternative Data Sets

    Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Unstructured Data, Predictive Modeling, Web Scraping, Social Network Analysis, Financial Statements, Financial Market, Financial Analysis, Investments, Financial Modeling, Asset Management, Python Programming, Data Analysis, Consumer Behaviour

    4.4
    Rating, 4.4 out of 5 stars
    ·
    236 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

    Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

1…567…19

In summary, here are 10 of our most popular machine learning methods courses

  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
  • Analyze Fraud Using Data Analytics and R: EDUCBA
  • Deep Learning, NLP, and AI Applications: Packt
  • Foundations of Model Optimization and Deep Learning: Packt
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Déployer et adapter des modèles d'IA avec Cloud Run: Google Cloud
  • 使用 Cloud Run 部署及擴充 AI 模型: Google Cloud
  • Grasp Vector DB Basics: Coursera
  • AI for Medical Diagnosis: DeepLearning.AI

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