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Machine Learning with Python: Discover How to Learn The Fundamentals to Create Machine Learning's Algorithms and Use Scikit-learn with Python Even Y
Paperback
ISBN13: 9781674372266
Publisher: Independently Published
Published: Dec 11 2019
Pages: 102
Weight: 0.32
Height: 0.21 Width: 5.98 Depth: 9.02
Language: English
Actually, if you are a business owner, machine learning is something that has to become a part of your dictionary and daily use terms.
Machine learning is a powerful set of technologies that can help organizations to transform their understanding of data. This technological approach is radically different from the way companies traditionally exploit data. Instead of starting with business logic and applying data, machine learning techniques allow data to create logic.
One of the key benefits of this approach is the removal of commercial assumptions and prejudices that may lead managers to customize a strategy that may not be the best.
Organizations should also be able to select the right algorithms that can provide well-designed models. So it's true that machine learning needs a cycle of data management, testing, modeling, and training but also it requires to focus on managing the right and well-prepared data.
That's why you have to know the fundamentals that this book is going to explain you.
This guide includes:
- The RISE Algorithm
- Convolutional Neural Networks
- Natural Language Processing
- Logistic Regression
- Django And Web Application
- Developing Models
- Data Pre-Processing and Creation of Training Data Set
- What Is Unsupervised Machine Learning
- Networking
- Data Scrubbing and Preparation
- Tips to Make Machine Learning Work for You
- Strengths of AI Science
Too many business owners are scared to get started but I assure you that even if you have never worked with anything in machine learning, this book is for you. It will help you to get the most out of your machine learning.
Do you want to collect the benefits of Machine learning? Do you want to grasp how you can increase your business or studies?
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