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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides essential training for specialists in leveraging Google Cloud products like Tensorflow and AI platform
Offers hands-on experience through self-paced labs in the Google Cloud console
Taught by Google Cloud Training, a recognized leader in cloud computing and machine learning education
Suitable for learners seeking to delve into distributed training and online prediction using advanced ML techniques
Enhances professional skills in cloud-based ML solutions, enhancing employability in the tech industry

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Predict Housing Prices with Tensorflow and AI Platform with these activities:
Review Python Data Structures
Ensure that you have a solid foundation in data structures before starting the course.
Browse courses on Data Structures
Show steps
  • Review arrays, linked lists, and dictionaries
  • Practice implementing these data structures in Python
Join a study group
Working with peers can enhance understanding and provide support throughout the course.
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Show steps
  • Find a study buddy or join an online forum
  • Discuss course materials, share ideas, and help each other
Learn about Tensorflow basics
Tensorflow is the primary framework used in this course. Completing this tutorial will provide essential background knowledge.
Browse courses on TensorFlow
Show steps
  • Follow the official Tensorflow tutorial
  • Complete the exercises and quizzes
Four other activities
Expand to see all activities and additional details
Show all seven activities
Gather resources on machine learning
Having a curated collection of resources can support your learning beyond the course.
Browse courses on Machine Learning
Show steps
  • Find articles, tutorials, and videos on machine learning
  • Organize the resources using a tool like Notion or Evernote
Solve machine learning practice problems
Practice is essential for mastering machine learning concepts. This activity will provide opportunities to apply your knowledge.
Browse courses on Machine Learning
Show steps
  • Find practice problems on platforms like LeetCode or HackerRank
  • Work through the problems and test your solutions
Build a simple machine learning model
Hands-on experience is crucial. This activity will allow you to apply your knowledge to a real-world problem.
Browse courses on Machine Learning
Show steps
  • Choose a simple dataset
  • Build a machine learning model using Tensorflow
  • Evaluate the performance of your model
Participate in a machine learning hackathon
Hackathons provide an immersive environment to learn, collaborate, and showcase your skills.
Browse courses on Machine Learning
Show steps
  • Find a hackathon that aligns with your interests
  • Team up with other participants to solve a problem
  • Build a machine learning solution and present your results

Career center

Learners who complete Predict Housing Prices with Tensorflow and AI Platform will develop knowledge and skills that may be useful to these careers:
Machine Learning Researcher
Machine Learning Researchers develop new machine learning algorithms and techniques. This course can help you build a foundation in machine learning and TensorFlow, which are essential skills for this role. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Machine Learning Researcher.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and implementing machine learning models to solve business problems. This course can help you build a foundation in machine learning and TensorFlow, which are essential skills for this role. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Machine Learning Engineer.
Data Scientist
Data Scientists use machine learning and other statistical techniques to analyze data and extract insights. This course can help you build a foundation in machine learning and TensorFlow, which are essential skills for this role. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Data Scientist.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you build a foundation in machine learning and TensorFlow, which are increasingly being used in software development. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Software Engineer.
Data Analyst
Data Analysts use data to make informed decisions. This course can help you build a foundation in machine learning and TensorFlow, which can be used to analyze data more efficiently. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Data Analyst.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more sophisticated financial models. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Quantitative Analyst.
Product Manager
Product Managers are responsible for developing and managing products. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more innovative products. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Product Manager.
Business Analyst
Business Analysts use data to make informed decisions about business operations. This course can help you build a foundation in machine learning and TensorFlow, which can be used to analyze data more efficiently. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Business Analyst.
Actuary
Actuaries use mathematical and statistical models to assess risk. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more accurate risk models. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for an Actuary.
Software Architect
Software Architects design and develop software systems. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more innovative software systems. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Software Architect.
Consultant
Consultants help organizations solve problems and improve their performance. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more effective solutions for clients. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Consultant.
Statistician
Statisticians use data to make informed decisions. This course can help you build a foundation in machine learning and TensorFlow, which can be used to analyze data more efficiently. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Statistician.
Financial Analyst
Financial Analysts use data to make informed decisions about investments. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more sophisticated investment models. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Financial Analyst.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to optimize business operations. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more efficient operations models. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for an Operations Research Analyst.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you build a foundation in machine learning and TensorFlow, which can be used to develop more efficient data pipelines. You will also learn how to use AI Platform to train and deploy your models, which is a valuable skill for a Data Engineer.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Predict Housing Prices with Tensorflow and AI Platform.
Comprehensive guide to deep learning, a subfield of machine learning that has achieved remarkable results in various domains. It is highly recommended for anyone interested in learning about the latest advances in deep learning.
Provides a probabilistic perspective on machine learning, covering topics such as Bayesian inference, graphical models, and reinforcement learning. It valuable resource for anyone interested in gaining a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive overview of data mining concepts and techniques. It covers topics such as data preprocessing, feature selection, clustering, classification, and regression.
Provides a comprehensive overview of statistical learning methods, including linear regression, logistic regression, decision trees, and support vector machines. It valuable resource for anyone interested in gaining a deeper understanding of the theoretical foundations of machine learning.
Provides a practical guide to using Python to build and deploy machine learning models. It covers all aspects of the machine learning process, from data preparation to model training and deployment.
Provides a practical guide to using Scikit-Learn, Keras, and TensorFlow to build and deploy machine learning models. It covers all aspects of the machine learning process, from data preparation to model training and deployment.
Provides a practical guide to using R to build and deploy machine learning models. It covers all aspects of the machine learning process, from data preparation to model training and deployment.
Provides a practical guide to using Fastai and PyTorch to build and deploy deep learning models. It valuable resource for anyone interested in gaining a deeper understanding of deep learning.
Provides a comprehensive overview of the mathematical concepts and techniques used in machine learning. It valuable resource for anyone interested in understanding the theoretical foundations of the field.
Provides a gentle introduction to machine learning concepts and algorithms. It valuable resource for anyone interested in gaining a basic understanding of the field.

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