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"

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Machine Learning, Regression Analysis, Python Programming

  • Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

  • Skills you'll gain: Data Visualization, Keras (Neural Network Library), Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Data Cleansing, Machine Learning, Supervised Learning, Regression Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, Artificial Neural Networks, Oil and Gas, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Predictive Modeling, Classification And Regression Tree (CART), Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Data Processing, Artificial Neural Networks, Performance Metric

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Cloud Computing Architecture, Performance Tuning, Business Workflow Analysis, Interoperability, Product Demonstration, Performance Improvement, Benchmarking

  • Status: Free Trial

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

  • Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Jupyter, Game Design

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

  • Status: Free Trial

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

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Collaborative Software, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Data Collection, LLM Application, Behavioral Economics, Analytics

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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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