Tensorflow

TensorFlow is an open-source software library developed by Google for machine learning and artificial intelligence tasks. Coursera's TensorFlow catalogue teaches you to harness the power of this advanced computational tool. You'll learn how to build and train various types of neural networks, implement machine learning algorithms, manipulate data using TensorFlow's APIs, and use TensorFlow for complex tasks like image and speech recognition. Through this, you can apply your skills to enhance predictive modeling, increase automation, and drive innovation in fields such as healthcare, finance, retail, and more.
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Results for "tensorflow"

  • Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Machine Learning, Natural Language Processing, Predictive Modeling

  • Status: Preview

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud Development, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Data Quality

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Large Language Modeling, Artificial Intelligence, Data Processing, Machine Learning, Predictive Modeling, Natural Language Processing

  • Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Cloud Security, Keras (Neural Network Library), Google Cloud Platform, Generative Model Architectures, Data Ethics, Tensorflow, Information Privacy, Application Security, Artificial Intelligence, Image Analysis, Semantic Web, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Cloud Security, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Application Security, Artificial Intelligence, Data Security, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Tensorflow, Safety and Security, Machine Learning, Data Quality

  • Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining

  • Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, MLOps (Machine Learning Operations), Deep Learning, Big Data, Machine Learning, Unstructured Data, Data Pipelines, Jupyter, Predictive Modeling, Natural Language Processing, Prototyping

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing

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  • This role has a $169,700 median salary ¹.

    description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

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