Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "distributed machine learning"
Status: Free TrialSkills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Applied Machine Learning, Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Analysis, Real Time Data, Predictive Modeling, Data Modeling
Status: Free TrialSkills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning, Data Ethics, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership
Status: PreviewSkills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Statistical Analysis, Customer Retention, Technical Communication
Status: PreviewNational Taiwan University
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Machine Learning, Supervised Learning, Applied Machine Learning, Deep Learning, Feature Engineering, Unsupervised Learning, Dimensionality Reduction, Artificial Neural Networks, Regression Analysis
Status: Free TrialSkills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Python Programming, Data Science, Supervised Learning, Artificial Neural Networks, Regression Analysis, Data Structures
Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)
Status: Free TrialSkills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning Methods, Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Supervised Learning, Business Metrics, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, PyTorch (Machine Learning Library), Dataflow, Artificial Neural Networks, Data Processing
Status: Free TrialSkills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Dataflow, Data Analysis, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning, Data Transformation
Status: FreeCoursera Project Network
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)
Status: PreviewSungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Portfolio Management, Data Manipulation, Algorithms
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Services, Version Control, Data Import/Export, Data Validation, Data Cleansing
Status: Free TrialSkills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Performance Tuning, Dimensionality Reduction, Google Cloud Platform, Machine Learning
In summary, here are 10 of our most popular distributed machine learning courses
- Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
- Machine Learning Rock Star – the End-to-End Practice: SAS
- Four Rare Machine Learning Skills All Data Scientists Need: SAS
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- Foundations of Data Science and Machine Learning with Python: Packt
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
- Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
