Filter by
The language used throughout the course, in both instruction and assessments.
Results for "machine+learning+in+distributed+environments"
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Continuous Deployment, Application Deployment, Application Lifecycle Management, Tensorflow, Machine Learning, Continuous Integration, Automation
Skills you'll gain: Statistical Methods, Jupyter, Regression Analysis, Statistical Analysis, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning Algorithms, Machine Learning, Supervised Learning, Predictive Modeling, Unsupervised Learning, NumPy, Classification And Regression Tree (CART)
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Big Data, Data Visualization Software, Data Processing, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning, Feature Engineering
Google Cloud
Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Big Data, Regression Analysis, Data Processing, Sampling (Statistics), Performance Tuning
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Data Cleansing
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Predictive Modeling, Analytics, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Performance Tuning, Python Programming
In summary, here are 10 of our most popular machine+learning+in+distributed+environments courses
- Machine Learning: DeepLearning.AI
- Machine Learning in Production: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Machine Learning on Google Cloud: Google Cloud
- Supervised Machine Learning: Regression and Classification : DeepLearning.AI
- Machine Learning Operations (MLOps): Getting Started: Google Cloud
- Machine Learning with Python: IBM
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Google Cloud Big Data and Machine Learning Fundamentals: Google Cloud
- Launching into Machine Learning: Google Cloud