Social And Emotional Learning Courses

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Português Brasileiro

Explore técnicas avançadas de avaliação de modelos de IA generativa e preditiva usando Vertex AI, com foco em métricas, metodologias e práticas para garantir resultados confiáveis em produção.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

掌握使用 Vertex AI 评估生成式和预测式 AI 模型的基本工具和方法，学习如何实施有效的评估流程以确保机器学习系统的可靠性和准确性。

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

深入瞭解 Vertex AI 平台上的模型評估技術，掌握生成式和預測式 AI 模型的評估方法、指標選擇及最佳實務，建立可靠且高效能的機器學習系統。

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Edureka

Applied Machine Learning with Python

Master practical machine learning with Python, from supervised and unsupervised algorithms to recommendation systems. Build classification models, implement regression, and create clustering solutions through hands-on exercises.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course

Edureka

Practical Deep Learning with Python

Master deep learning fundamentals and advanced architectures like CNNs, RNNs, and LSTMs through hands-on Python implementation. Build, optimize, and evaluate models for real-world AI applications.

• Coursera
• 12 hours 3 minutes
• Self-Paced
• Paid Course

Edureka

Machine Learning with PySpark

Master distributed machine learning using PySpark MLlib to build scalable models, process large datasets, and implement advanced algorithms for classification, regression, and clustering in a big data environment.

• Coursera
• 13 hours 27 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O GPTe Learning Path

Master enterprise AI with H2O GPTe, covering AI-powered search, RAG techniques, Python API integration, and web application development for transforming organizational data strategies.

• Coursera
• 2 hours 21 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Prep for Machine Learning in Python

Master data preparation techniques for machine learning in Python, from importing and cleaning to feature engineering and selection. Learn imputation, EDA, and transformations for optimal ML model performance.

• Coursera
• 5 hours 47 minutes
• Self-Paced
• Paid Course

MTTC (117-120) Subtest 4: Science and Social Studies Prep

Prepare for the MTTC Lower Elementary Education exam's science and social studies sections with comprehensive content review, quizzes, and practice exams.

• Study.com
• 16 hours 32 minutes
• Self-Paced
• Paid Course

MTTC (121-124) Subtest 4: Science and Social Studies Prep

Prepare for the MTTC Upper Elementary (3-6) assessment with comprehensive science and social studies review, quizzes, and practice tests to reinforce key concepts and teaching strategies.

• Study.com
• 17 hours 4 minutes
• Self-Paced
• Paid Course

Packt

Advanced CNNs, Transfer Learning, and Recurrent Networks

Master advanced CNNs, transfer learning, and RNNs. Apply cutting-edge techniques to real-world datasets, from medical imaging to text generation. Gain practical skills through hands-on case studies and industry-relevant projects.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Recurrent Neural Networks with TensorFlow

Master recurrent neural networks for time series prediction and NLP tasks using TensorFlow. Implement advanced architectures like GRUs and LSTMs for stock forecasting, image classification, and text analysis.

• Coursera
• 5 hours 41 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning with Keras and Practical Applications

Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.

• Coursera
• 9 hours 44 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course