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  • Mlops Machine Learning Operations

Results for "mlops (machine learning operations)"


  • U

    Universidades Anáhuac

    Modelos predictivos con Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Predictive Analytics, Model Training, Statistical Modeling, Data Modeling, Forecasting, Model Optimization, Supervised Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Machine Learning Methods, Scikit Learn (Machine Learning Library), Statistical Methods, Data Preprocessing, Unsupervised Learning, Machine Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub

    ★ 4.4 (7.2K) · Intermediate · Specialization · 3 - 6 Months

  • D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Architecture, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Español

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

    ★ 4.5 (15) · Advanced · Course · 1 - 3 Months

  • I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    ★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Agentic Workflows, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics

    ★ 5 (10) · Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.8 (13) · Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Medical Science and Research, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Generative Model Architectures, Deep Learning, Health Policy

    ★ 4.8 (630) · Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    LLMOps

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, Model Training, MLOps (Machine Learning Operations), Fine-tuning, Model Evaluation, Version Control, Supervised Learning

    ★ 3.9 (36) · Beginner · Project · Less Than 2 Hours

  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

1…212223…834

In summary, here are 10 of our most popular mlops (machine learning operations) courses

  • Modelos predictivos con Machine Learning: Universidades Anáhuac
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Machine Learning with Neural Networks: Dartmouth College
  • Production Machine Learning Systems - Español: Google Cloud
  • Exploratory Data Analysis for Machine Learning: IBM
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • AI Driven Machine Learning with Python: EDUCBA
  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Practical Machine Learning without Coding: LearnQuest

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