Complete Machine Learning & Data Science Program

Master Data Science and Machine Learning with GeeksforGeeks' comprehensive 6-month live Data Science program. Perfect for tech enthusiasts, students, and professionals, this Data Science live course covers Python, deep learning, AI, and more. Gain hands-on experience with 40+ industry projects …

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Machine Learning (ML) & Artificial Intelligence (AI) – AWS Digital and Classroom Training

The AWS Certified Machine Learning … ML workloads in production and operationalizing them. Begin preparing for your exam » · Embrace the AI-driven future and unlock career growth with the new AWS Certified AI Practitioner. Begin preparing for your exam » … Amazon SageMaker is a fully managed service that data scientists and developers use to quickly build, train, and deploy …

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Data Science: Machine Learning | Harvard University

In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. You will learn about training data, and how to use a set of data to discover …

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Machine Learning & AI Courses  | Google Cloud Training

Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution?1 · Learn how to implement the latest machine learning and artificial intelligence technology with courses on Vertex AI, BigQuery, TensorFlow, and more.

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SEC595: AI, Applied Data Science, and Machine Learning for Cybersecurity Professionals Course | SANS Institute

SEC595 is a crash-course introduction to practical data science, statistics, probability, and machine learning. The course is structured as a series of short discussions with extensive hands-on labs that help students develop a solid and intuitive understanding of how these concepts relate …

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Machine learning – Wikipedia

Generalization in this context … learning data set. The training examples come from some generally unknown probability distribution (considered representative of the space of occurrences) and the learner has to build a general model about this space that enables it to produce sufficiently accurate predictions in new cases. The computational analysis of machine learning algorithms and their performance is a branch of theoretical computer science known as …

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