🔅 Top 10 Skills for Machine Learning Cloud Architects

🌐 Author: Ben Sullins
🔰 Level: Beginner

⏰ Duration: 32m

🌀 Learn the top ten skills of machine learning cloud architects to build out your professional toolbox and boost your career.

📗 Topics: Cloud-Native Architecture, Machine Learning

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📱Top 10 Skills for Machine Learning Cloud Architects

🔅 Generative AI for Product Managers

🌐 Author: Dr. Marily Nika
🔰 Level: Intermediate

⏰ Duration: 24m

🌀 Leverage cutting-edge insights for product managers to start using generative AI tools such as ChatGPT to help manage the product lifecycle and process.

📗 Topics: Product Management, Generative AI Tools, Artificial Intelligence for Business

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📱Generative AI for Product Managers

🔅 Supervised Learning Essential Training

🌐 Author: Ayodele Odubela
🔰 Level: Intermediate

⏰ Duration: 1h 28m

🌀 This mid-level course takes you through how to create one of the most common types of machine learning: supervised learning models.

📗 Topics: Supervised Learning, Machine Learning

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📱Supervised Learning Essential Training

🔅 Deep Learning Foundations: Natural Language Processing with TensorFlow

🌐 Author: Harshit Tyagi
🔰 Level: Intermediate

⏰ Duration: 1h 47m

🌀 Learn foundational deep learning techniques to classify, predict, and generate text using different neural networks.

📗 Topics: Natural Language Processing, TensorFlow, Deep Learning

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📱Deep Learning Foundations: Natural Language Processing with TensorFlow

🔅 Applied AI: Building NLP Apps with Hugging Face Transformers

🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate

⏰ Duration: 57m

🌀 Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.

📗 Topics: Natural Language Processing, Applied Machine Learning

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📱Applied AI: Building NLP Apps with Hugging Face Transformers

🔅 Advanced NLP with Python for Machine Learning

🌐 Author: Derek Jedamski
🔰 Level: Advanced

⏰ Duration: 2h 9m

🌀 Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.

📗 Topics: Natural Language Processing, Machine Learning, Python

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📱Advanced NLP with Python for Machine Learning

🔅 TensorFlow: Working with NLP

🌐 Author: Jonathan Fernandes
🔰 Level: Intermediate

⏰ Duration: 41m

🌀 Learn about using transformers in natural language processing with TensorFlow.

📗 Topics: Natural Language Processing, TensorFlow

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📱TensorFlow: Working with NLP