Machine Learning
beschreibung:A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.
von
Diese Rolle hat eine 54.991 £ Durchschnittsgehalt ¹.
beschreibung:A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
Diese Rolle hat eine 54.991 £ Durchschnittsgehalt ¹.
von
Am beliebtesten
Status: Kostenloser Testzeitraum
Status: Kostenloser TestzeitraumUniversity of London
Status: VorschauDeepLearning.AI
Status: Kostenloser Testzeitraum
Jetzt im Trend
- Status: Kostenloser Testzeitraum
Status: Kostenloser Testzeitraum
Status: Kostenloser Testzeitraum
Status: Kostenloser Testzeitraum
Neue Veröffentlichungen
Status: Kostenloser TestzeitraumCoursera
Status: VorschauO.P. Jindal Global University
Status: Vorschau
Status: Kostenloser Testzeitraum
Filtern nach
BetreffErforderlich
SpracheErforderlich
Die im gesamten Kurs, sowohl für Anweisungen als auch Bewertungen, verwendete Sprache.
LernproduktErforderlich
NiveauErforderlich
DauerErforderlich
UntertitelErforderlich
LehrkraftErforderlich
Erkunden Sie den Machine Learning-Kurskatalog
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
Status: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning Methods, Machine Learning, Applied Machine Learning, MLOps (Machine Learning Operations), Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning
Status: KostenlosCoursera Project Network
Kompetenzen, die Sie erwerben: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, Data Processing, Dataflow, Data Pipelines, MLOps (Machine Learning Operations), Big Data, Data Transformation, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Performance Tuning
Status: VorschauMaven Analytics
Kompetenzen, die Sie erwerben: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling
Coursera Project Network
Kompetenzen, die Sie erwerben: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization
Status: VorschauSungkyunkwan University
Kompetenzen, die Sie erwerben: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Asset Management
Status: Kostenloser TestzeitraumJohns Hopkins University
Kompetenzen, die Sie erwerben: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning
