Free Coupon Code Machine learning in Angular 100% OFF

Udemy Free coupon code for Machine learning in Angular course taught by Jorge Guerra Pires , TensorFlow.js Academy, which has 6,086 students and is rated 3.4 out of 9 votes. This course is about 3 hour(s) in English and was updated on January 22, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Learn to build machine learning algorithms for biomedical datasets using TensorFlow.js in Typescript

Unleash the Power of TensorFlow.js: Build Smart Medical Apps with Ease!

Discover the astonishing world of neural models where building powerful models is now within reach, without breaking the bank. Gone are the days of expansive alternatives like Matlab or specialized coding and machine learning theory. Welcome to TensorFlow.js, the game-changer that allows you to create robust models effortlessly.

In this course, we'll dive into the realm of TensorFlow.js and explore its immense potential for medical applications. Whether you want to leverage pre-trained models from TensorFlow.js hubs or develop your own cutting-edge smart apps, you'll learn how to do it all in no time.

Machine learning, particularly through neural networks, offers a powerful and versatile approach to handle vast amounts of data. The truly astonishing part is how neural models uncover hidden patterns within datasets without explicit guidance. No need to point out relationships or provide specific instructions – these models do it all.

Join us as we delve into the captivating Diabetes prediction dataset. This collection of medical and demographic data, including age, gender, BMI, hypertension, heart disease, and more, allows us to build advanced machine learning models. Predicting diabetes based on patients' history and personal information opens doors for healthcare professionals to identify at-risk individuals and create personalized treatment plans. Researchers can also explore the intricate connections between various factors and the likelihood of developing diabetes.

While Python and R dominate the machine learning landscape, TensorFlow.js shines as a promising alternative for web development enthusiasts. One interesting point about TensorFlow.js: you can use Python codes by manually converting the models since they have similra notations, or you can use public libraries to make the conversion.

In this course, we cater to a special group: Angular programmers. Embrace the future with TensorFlow.js and revolutionize your medical app development journey.

Enroll now and harness the boundless possibilities of TensorFlow.js for groundbreaking medical applications!