Python Machine Learning For Beginners 2021: A Comprehensive Guide To Master the Basics of Python Programming And Understand How It Works, How Is Corre - Steven Williams

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Résumé :
If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading.


We live in a world of data deluge where gigabytes of data are generated daily. It is possible that this data might not be very useful for our daily applications. Major setbacks in the use of such data may be due to the presence of loopholes in data links previously generated or the data might be too vast for the limited human mind. Machine learning in this book presents some of the solutions to the problems above. Being an introductory guide, expect to learn the various basics involved in Machine Learning and Python. This book provides an insight into the new world of big data, then behooves you to learn more about Machine Learning.
With a detailed and concise overview of the fundamentals, along with the challenges and limitations currently being tackled by the pros, inside this comprehensive guide you will:
. Learn the Fundamentals of Machine Learning which Are Being Developed and Advanced with Python
. What is Machine Learning and how it is applied in real-world situations
. Algorithms, in a Language that Requires No Prior Background in Python
. Discover best practices for evaluating and tuning models
. Discover the Details of the Supervised, Unsupervised, and Reinforcement Algorithms, which Serve as the Skeleton of Hundreds of Machine Learning Algorithms Being Developed Every Day
. Become Familiar with Data Science Technology, an Umbrella Term Used for the Cutting-Edge Technologies of Today
. Understand the Entire Process of Creating Neural Network Models on TensorFlow, Using Open Source Data Sets and real Python Code
. Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets
. Artificial Neural Networks
. And Much More!


So what are you waiting for?
Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way.
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Biographie:
Steven Williams was born in Houston, Texas, in 1974. His mother was an immigrant from Singapore, and, growing up, he spent time in Hong Kong and later graduated in 1990.
In 1995, he earned his undergraduate degree with a triple major in computer science, statistics, and economics from Carnegie Mellon University in Pittsburgh, Pennsylvania, and in 1996 he earned his master's degree from UC Berkeley.
Today Williams is an American businessman, computer scientist, investor, and writer. He is focusing on machine learning and AI. As a businessman and investor, he co-founded and led Neuro-Focus Brain Inc. (sponsored by Battino International), building the company's Artificial Intelligence Group into a team of several thousand people.
Williams is also a pioneer in online education, focused on Social Media Marketing for Business, with Coursesest Inc., teaching over 2 million students through his online courses.