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Implementing Predictive Analytics with TensorFlow
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.
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Rating | Not enough ratings |
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Length | 1.4 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Justin Flett |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional Data Analytics |
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Rating | Not enough ratings |
---|---|
Length | 1.4 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Justin Flett |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional Data Analytics |
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