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Learn the fundamentals of Google Cloud Platform services including compute, storage, networking, and security for cloud-based solutions.
This course teaches applied machine learning using Python, covering data preprocessing, model building, evaluation, and deployment. You will work with libraries like scikit-learn, pandas, and NumPy on real-world datasets to build practical skills.
Master deep learning concepts and techniques using TensorFlow. This course covers convolutional and recurrent neural networks, LSTMs, and how to apply these models in real-world AI applications for image and text data.
Learn natural language processing with state-of-the-art transformer models such as BERT and GPT. This course covers tokenization, embeddings, attention mechanisms, and fine-tuning transformer models for various NLP tasks.
Explore how artificial intelligence can transform business strategies and operations. Learn about AI-driven automation, decision-making, predictive analytics, and integration in various industries to boost efficiency and growth.
Learn computer vision techniques and applications using OpenCV. Covers image processing, object detection, facial recognition, and video analysis with hands-on coding exercises.
3 Reviews on Google Cloud Platform (GCP) Essentials
Tyler Bennett
Great content, just wished there were more real-world examples.
Emiko Yoshida
実際のUI事例を交えた説明が非常に参考になりました。
Jackson Moore
Helped me understand design systems in depth. Highly recommended.