Machine Learning for Smart Learners
Discover and Learn About Neural Network, Dataset, Python, Libraries and Applications to Build Intelligent Systems
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Narrateur(s):
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Valentina Di Paola
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Auteur(s):
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Melvin Doyle
À propos de cet audio
Discover how to break into the highly lucrative field of deep learning and artificial intelligence with this handy and comprehensive guide to machine learning!
Are you looking for a practical guide to help get started with machine learning, but don't want to spend money on boring, dense textbooks and overpriced online video courses? Do you want to uncover how machine learning really works and learn how to use it to solve real problems?
Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.
Here's a preview of what you're going to discover in Machine Learning for Smart Learners:
- Everything you need to know about machine learning and how it works
- Real-world use cases and application of machine learning in the finance industry
- Ways for using machine learning to deal with data and extract useful insights from large data sets
- Foolproof data pre-processing techniques used by data scientists and machine learning experts
- The five-step guide to create a data cleaning process that works effectively
- The three-steps to take if you're a complete beginner and want to learn how to program in Python for machine learning
- A crash guide to master Python programming fundamentals, from Python syntax and arrays to libraries and frameworks
- Steps to get out of the tutorial limbo and begin to work on your own projects
- And much more!
Whether you're completely new to the world of machine learning and Python programming and have no coding experience, or you're a seasoned programmer looking to add Python to your coding skill set, the insights and practical advice in this guide will help you get off to the right start with machine learning.
©2019 Melvin Doyle (P)2019 Melvin Doyle