Computer Science / TensorFlow

Intro to Machine Learning with TensorFlow

بواسطة: Udacity

Overview

In LinkedIn’s 2020 Emerging Jobs report, AI Specialist, a role that includes machine learning, deep learning, TensorFlow, and Python as key skills, boasts 74% annual growth. All of the above skills are incorporated into Udacity’s Intro to Machine Learning with TensorFlow Nanodegree program, which is a great way to get introduced to the fundamentals of machine learning, including areas like manipulating data, supervised & unsupervised learning, and deep learning. In this program, you will complete three hands-on projects including building an image classifier, and creating customer segments, that will prepare you for one of the 50,000 open roles in machine learning.
Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.

Syllabus

Supervised Learning

In this lesson, you will learn about supervised learning, a common class of methods for model construction.

Deep Learning

In this lesson, you will learn the foundations of neural network design and training in TensorFlow.

Unsupervised Learning

In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.

Taught by

Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard , Jay Alammar, Andrew Paster, Juan Delgado and Michael Virgo

Computer Science / TensorFlow

Intro to Machine Learning with TensorFlow

الذهاب الي الدورة

Intro to Machine Learning with TensorFlow

بواسطة: Udacity

Udacity
مدفوعة
الإنجليزية
متاح شهادة
متاح في أي وقت
الجميع
N/A

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