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Learn to perform distributed computing on massive data with CentraleSupélec. Master Hadoop MapReduce, Spark, and AWS to deploy and manage clusters for complex data analysis. Duration: 20 hours.
Learn to evaluate and improve machine learning models with CentraleSupélec. Master cross-validation, avoid overfitting, and select optimal algorithms for classification and regression tasks. Requires Python and basic math skills.
Learn the fundamentals of machine learning with CentraleSupélec. Explore data science challenges, train algorithms, and tackle common issues. Ideal for beginners with basic Python, linear algebra, and statistics knowledge.
Master linear regression, logistic regression, and SVMs with CentraleSupélec. Control model complexity, avoid overfitting, and solve multi-class classification problems. Ideal for those with Python and math basics.
Learn to design, deploy, and manage real-time data streaming platforms with Kafka and Storm. Understand the challenges of processing massive data flows and build distributed architectures with CentraleSupélec.
Learn to use unsupervised algorithms for data analysis with CentraleSupélec. Master dimensionality reduction techniques like PCA and t-SNE, and explore clustering methods such as hierarchical, k-means, and DBSCAN.
Master ensemble methods with CentraleSupélec. Learn parallel methods like random forests and sequential methods like gradient boosting. Enhance your models' performance and control variance in 15 hours.
Learn to transform text into machine learning features with CentraleSupélec. Explore, clean, and normalize text data, create features, and classify text using advanced models. Ideal for aspiring data scientists.
Master non-linear supervised models with CentraleSupélec. Learn kernel methods to extend SVM and ridge regression, and train neural networks. Prerequisites: Python, linear algebra, and probability basics.
Learn to classify images using machine learning and deep learning techniques with CentraleSupélec. Master image processing, feature detection, and convolutional neural networks (CNNs) in 15 hours.
Master NoSQL databases with CentraleSupélec. Learn to manage and query large datasets using MongoDB and ElasticSearch. Gain skills in scaling, data distribution, and visualization. Duration: 15 hours.
Learn to design a Data Lake with CentraleSupélec. Master distributed storage with HDFS, data serialization with Avro, and scalable data management. Ideal for those with programming and Unix knowledge.
Learn to design scalable, fault-tolerant, and cost-effective Big Data architectures using the Lambda Architecture model with CentraleSupélec. Understand storage, analysis, and data sharing techniques in just 6 hours.
Learn how to fund your business with CentraleSupélec. Understand fundraising processes, investor relations, and shareholder agreements. Gain insights into working with business angels and venture capitalists.
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