Implementing Predictive Analytics with TensorFlow faq

learnersLearners:
instructor Instructor: Justin Flett instructor-icon
duration Duration: 2.00 instructor-icon

This course provides an introduction to predictive analytics using TensorFlow, a popular open-source library for data science and machine learning. Participants will learn the fundamentals of supervised learning, recommendation, and reinforcement systems, enabling them to build powerful predictive models.

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Free Trial

providerProvider:

Pluralsight

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

TensorFlow is a widely-used data science and machine learning software library. This course will teach you the basics of implementing predictive analytics using TensorFlow, including supervised learning, recommendation, and reinforcement systems.
Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course, Implementing Predictive Analytics with TensorFlow, you will learn foundational knowledge of solving real-world data science problems. First, you will explore the basics of implementing supervised learning problems including linear regression and neural networks. Next, you will discover how recommendation systems can be implemented using TensorFlow. Finally, you will learn how to understand and implement reinforcement learning systems. When you are finished with this course, you will have the skills and knowledge of TensorFlow needed to solve data science and machine learning problems.
Topics:
Course Overview
Implementing Supervised Learning Systems
Implementing Recommendation Systems
Implementing Reinforcement Learning Systems

What skills and knowledge will you acquire during this course?
This course, Implementing Predictive Analytics with TensorFlow, will provide learners with the skills and knowledge to solve data science and machine learning problems. Learners will gain an understanding of linear regression and neural networks, and how to implement recommendation systems using TensorFlow. Additionally, learners will learn how to understand and implement reinforcement learning systems. By the end of this course, learners will have a comprehensive understanding of TensorFlow and its applications in data science and machine learning.

How does this course contribute to professional growth?
This course, Implementing Predictive Analytics with TensorFlow, provides an opportunity for professional growth by teaching the fundamentals of data science and machine learning. Through the use of TensorFlow, participants will gain an understanding of linear regression and neural networks, and how to implement recommendation systems. Additionally, participants will learn how to understand and implement reinforcement learning systems. By the end of this course, participants will have the skills and knowledge of TensorFlow needed to solve data science and machine learning problems.

Is this course suitable for preparing further education?
This course, Implementing Predictive Analytics with TensorFlow, is suitable for preparing further education in data science and machine learning. It provides a comprehensive overview of the fundamentals of data science and machine learning, including linear regression and neural networks. Additionally, it teaches how to use TensorFlow to solve real-world data science problems, such as supervised learning, recommendation, and reinforcement systems. By the end of the course, learners will have the skills and knowledge of TensorFlow needed to solve data science and machine learning problems.

Course Provider

Provider Pluralsight's Stats at OeClass