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    • Tensorflow

    TensorFlow Courses Online

    Master TensorFlow for deep learning. Learn to build, train, and deploy neural networks using TensorFlow.

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    Explore the TensorFlow Course Catalog

    • C

      Coursera Project Network

      Medical Insurance Premium Prediction with 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 Processing, Data Manipulation, Data Cleansing, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Social Computing

      Skills you'll gain: Network Analysis, Graph Theory, Machine Learning, AWS SageMaker, Applied Machine Learning, Supervised Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Research Design, Sociology, Network Model, Human Machine Interfaces, Data Collection, Behavioral Economics, Analytics, Amazon Elastic Compute Cloud

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud em Português

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Extract, Transform, Load, Real Time Data, Data Warehousing, Tensorflow, Data Processing, Data Infrastructure, MLOps (Machine Learning Operations), Cloud Storage, Big Data, Data Integration, Data Transformation, Data Architecture, Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Advanced AI and Machine Learning Techniques and Capstone

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Artificial Intelligence, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Tensorflow, Deep Learning, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Deep Learning for Real Estate Price Prediction

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Predictive Modeling, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis, Real Estate, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Google Cloud Platform, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      How Google does Machine Learning 日本語版

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Art and Science of Machine Learning en Español

      Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Feature Engineering, Dimensionality Reduction, Applied Machine Learning, Supervised Learning, Machine Learning, Regression Analysis, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP 日本語版

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Design Thinking and Predictive Analytics for Data Products

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

      Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Data Integration, 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, Data Processing, Data Loss Prevention, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      125 reviews

      Intermediate · Specialization · 1 - 3 Months

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    In summary, here are 10 of our most popular tensorflow courses

    • Medical Insurance Premium Prediction with Machine Learning: Coursera Project Network
    • Social Computing: Johns Hopkins University
    • Data Engineer, Big Data and ML on Google Cloud em Português: Google Cloud
    • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
    • Deep Learning for Real Estate Price Prediction: Coursera Project Network
    • ML Pipelines on Google Cloud - 한국어: Google Cloud
    • How Google does Machine Learning 日本語版: Google Cloud
    • Art and Science of Machine Learning en Español: Google Cloud
    • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Tensorflow

    TensorFlow is an open-source framework for machine learning (ML) programming originally created by Google Brain, Google’s deep learning and artificial intelligence (AI) research team. It has become one of the most popular software platforms for machine learning due to its flexibility and a comprehensive ecosystem of tools and resources. For example, TensorFlow.js allows for JavaScript-based ML applications that can run in browsers; TensorFlow Lite can run on mobile devices for federated learning applications; and TensorFlow Hub provides an extensive library of reusable ML models.

    The flexibility of TensorFlow and breadth of its machine learning applications have been important in enabling a wide range of uses. TensorFlow is frequently used for computer vision applications, including facial recognition in social media, automatic X-ray scanning in healthcare, and autonomous vehicle driving. Similarly, natural language processing (NLP) applications can understand and respond to spoken and written text, making possible the creation of helpful chatbots and other digital agents as well as the automatic reading and summarization of text. Recommendation engines used by music streaming services and online retailers may also be built in TensorFlow.

    These are all just a few examples of the power of machine learning applications and the ways that TensorFlow can be leveraged to enable them. If you’re interested in pushing the boundaries of this fast-changing field even further, learning TensorFlow is essential.‎

    Expertise in TensorFlow is an extremely valuable addition to your skillset, and can open the door to many exciting careers. As one of the most popular and useful platforms for machine learning and deep learning applications, TensorFlow skills are in demand from companies throughout the tech world, as well as in the automotive industry, medicine, robotics, and other fields. This high level of demand for skills in TensorFlow and machine learning translates into high levels of pay; according to Glassdoor, machine learning engineers in America earn an average salary of $114,121.‎

    Absolutely - in fact, Coursera is one of the best places to learn TensorFlow skills online. You can take individual courses as well as Specializations spanning multiple courses from deeplearning.ai, one of the pioneers in the field, or Google Cloud, an industry leader. You can also take courses from top-ranked universities from around the world, including Imperial College London and National Research University Higher School of Economics. Guided Projects from Coursera offer another way to learn, with hands-on Tensorflow tutorials presented by experienced instructors.‎

    You need to have a basic understanding of Python before starting to learn TensorFlow, so it's best to start with an introductory course to this programming language first. Python is the language used to design TensorFlow. It's also helpful to have knowledge of artificial intelligence (AI) concepts as well. You should have strong math skills, especially in algebra so that you'll be familiar with the calculations and algorithms required in TensorFlow. Foundational knowledge of vectors, scalars, and matrices is also very helpful as you start learning TensorFlow, as well as basic statistics. And it's important to know the basics of machine learning as well.‎

    People who are best suited for roles in TensorFlow have an interest in machine learning or deep learning. Important soft skills include communication skills, problem-solving skills, time management, teamwork, and a thirst for learning. Someone who uses TensorFlow in their job likely works with a team of professionals like software engineers, research scientists, marketing teams, data scientists, and product teams, so they must be able to communicate clearly, prioritize tasks, and work toward a common goal. And since fields that use TensorFlow—such as AI, machine learning, and deep learning—are constantly evolving, people who adapt well to change and are eager to learn or develop the next new technology are well suited for these roles.‎

    If you are currently in the machine learning field or aspire to be, learning about TensorFlow is most likely right for you. The same applies if you want to enter the deep learning field in positions like deep learning scientist, deep learning software engineer, or deep learning researcher since TensorFlow is a good starting point for deep learning. If you're in a deep learning internship, learning TensorFlow is right for you as well.‎

    Online TensorFlow courses offer a convenient and flexible way to enhance your knowledge or learn new TensorFlow skills. Choose from a wide range of TensorFlow courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in TensorFlow, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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