Machine Learning with Python: Discover How to Learn The Fundamentals to Create Machine Learning’s Algorithms and Use Scikit

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.