Machine learning in Angular

Machine learning in Angular, available at $44.99, has an average rating of 4.44, with 19 lectures, based on 8 reviews, and has 6021 subscribers.

You will learn about Building a neural model using TensorFlowjs Learn some basics about machine learning Learn basics from Angular Learn basics about reading a training process Learn to use some tools on TensorFlowjs for data visualization and training This course is ideal for individuals who are Angular coders, like myself, could consider a new field of applications of their skills, like I did during my postdoc or Data scientists could benefit from analyzing biomedical datasets using JavaScript/Typescript or Web devs building apps that can be applied to medicine using websites or Applied mathematicians: machine learning is a possible way to model biological phenomena, called black box models or Bioinformatics: bioinformatics is already dominated by TensorFlow in Python. This is another spectrum of possibilities for bioinformaticians It is particularly useful for Angular coders, like myself, could consider a new field of applications of their skills, like I did during my postdoc or Data scientists could benefit from analyzing biomedical datasets using JavaScript/Typescript or Web devs building apps that can be applied to medicine using websites or Applied mathematicians: machine learning is a possible way to model biological phenomena, called black box models or Bioinformatics: bioinformatics is already dominated by TensorFlow in Python. This is another spectrum of possibilities for bioinformaticians.

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Summary

Title: Machine learning in Angular

Price: $44.99

Average Rating: 4.44

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Building a neural model using TensorFlowjs
• Learn some basics about machine learning
• Learn basics from Angular
• Learn basics about reading a training process
• Learn to use some tools on TensorFlowjs for data visualization and training

Who Should Attend

• Angular coders, like myself, could consider a new field of applications of their skills, like I did during my postdoc
• Data scientists could benefit from analyzing biomedical datasets using JavaScript/Typescript
• Web devs building apps that can be applied to medicine using websites
• Applied mathematicians: machine learning is a possible way to model biological phenomena, called black box models
• Bioinformatics: bioinformatics is already dominated by TensorFlow in Python. This is another spectrum of possibilities for bioinformaticians

Target Audiences

• Angular coders, like myself, could consider a new field of applications of their skills, like I did during my postdoc
• Data scientists could benefit from analyzing biomedical datasets using JavaScript/Typescript
• Web devs building apps that can be applied to medicine using websites
• Applied mathematicians: machine learning is a possible way to model biological phenomena, called black box models
• Bioinformatics: bioinformatics is already dominated by TensorFlow in Python. This is another spectrum of possibilities for bioinformaticians