Python Machine Learning for Beginners: All You Need to Know about Machine Learning with Python
Written by Alex Campbell
Narrated by Sean Leyden
5/5
()
About this audiobook
Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step.
Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to.
It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI.
Here's what you will learn in this quick guide to machine learning with Python for beginners:
- What machine learning is
- Why Python is the best computer programming language for machine learning
- The different types of machine learning
- How linear regression works
- The different types of classification
- How to use SVMs (Support Vector Machines) with Scikit-Learn
- How Decision Trees work with Classification
- How K-Nearest Neighbors works
- How to find patterns in data with unsupervised learning algorithms
You will also find plenty of code examples to help you understand how everything works.
If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.
Alex Campbell
Alex Campbell is an award-winning writer, producer, and director of more than two hundred information films for Fortune Top 25 corporations as well as government agencies, including the National Endowment for the Humanities. He lives in California.
More audiobooks from Alex Campbell
Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: How to Use the Scrum to Boost a Team’s Productivity Rating: 5 out of 5 stars5/5Data Mining and Analytics: Ultimate Guide to the Basics of Data Mining, Analytics and Metrics Rating: 5 out of 5 stars5/5Data as a Product: A Comprehensive Guide on How to Use the Full Value of Data Rating: 5 out of 5 stars5/5Python for Data Science: Clear and Complete Guide to Data Science and Analysis with Python. Rating: 5 out of 5 stars5/5Agile: Essentials of Team and Project Management. Manifesto for Agile Software Development Rating: 4 out of 5 stars4/5Python Guide: Clear Introduction to Python Programming and Machine Learning Rating: 5 out of 5 stars5/5Data Mesh: Principles and Logical Architecture Rating: 3 out of 5 stars3/5Agile Product Management: Proven Strategies and Methods for Beginners Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: Proven Strategies and Methods for Beginners Rating: 0 out of 5 stars0 ratingsData Visualization Guide: Clear Guide to Data Science and Visualization Rating: 0 out of 5 stars0 ratingsPython Machine Learning for Beginners: Perfect guide on How to Become a Successful Data Scientist Rating: 0 out of 5 stars0 ratingsAgile Project Management with Scrum: Comprehensive Guide to Agile Project Management with Scrum Rating: 0 out of 5 stars0 ratingsAgile Project Management with Scrum: Simple Guide to Processes and Roles Rating: 5 out of 5 stars5/5Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python. Rating: 0 out of 5 stars0 ratingsData Mesh: Comprehensive Guide on How to Become Truly Data-Driven Rating: 0 out of 5 stars0 ratingsAgile Project Management with Scrum: How to Become a Great Project Manager Rating: 0 out of 5 stars0 ratingsKanban: A Complete Step-by-Step Guide to the Basic Concepts in Kanban Rating: 5 out of 5 stars5/5Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python Rating: 5 out of 5 stars5/5Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Rating: 5 out of 5 stars5/5Agile Guide: Perfect Guide to Agile Project Management for Successful Leader. Rating: 0 out of 5 stars0 ratingsAgile Project Management with Scrum: Ultimate Complete Guide to Agile Project Management with Scrum. (4 in 1 books). Rating: 0 out of 5 stars0 ratingsData Visualization: Clear Introduction to Data Visualization with Python. Proper Guide for Data Scientist. Rating: 5 out of 5 stars5/5Kanban: Secret Formulas and Strategies in Kanban Methodology Rating: 0 out of 5 stars0 ratingsAgile Leadership: Secret Practices and Tips for Successful Agile Leader Rating: 5 out of 5 stars5/5Data Visualization: Ultimate Guide to Data Mining and Visualization. Rating: 0 out of 5 stars0 ratingsData Visualization Guide: 4 BOOKS IN 1. Big and Complete Guide to Data Mining and Visualization Rating: 0 out of 5 stars0 ratings
Related to Python Machine Learning for Beginners
Related audiobooks
Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python Rating: 5 out of 5 stars5/5Python Machine Learning for Beginners: Perfect guide on How to Become a Successful Data Scientist Rating: 0 out of 5 stars0 ratingsData Science from Scratch Rating: 0 out of 5 stars0 ratingsPython For Data Science: The Ultimate Comprehensive Step-By-Step Guide To The Basics Of Python For Data Science Rating: 0 out of 5 stars0 ratingsMachine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data Rating: 4 out of 5 stars4/5Machine Learning for Beginners: An Introduction to Artificial Intelligence and Machine Learning Rating: 2 out of 5 stars2/5Deep Learning: Guide to Machine Learning and Artificial Intelligence Rating: 5 out of 5 stars5/5Artificial Intelligence Business Applications: Artificial Intelligence Marketing and Sales Applications Rating: 5 out of 5 stars5/5Data Visualization: Clear Introduction to Data Visualization with Python. Proper Guide for Data Scientist. Rating: 5 out of 5 stars5/5Deep Learning: Machine Learning and Data Analytics Explained Rating: 5 out of 5 stars5/5PYTHON CODING AND PROGRAMMING: The Smartest Way to Learn Everything you Need to Know about Python Rating: 3 out of 5 stars3/5Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Rating: 5 out of 5 stars5/5Python Guide: Clear Introduction to Python Programming and Machine Learning Rating: 5 out of 5 stars5/5Data Analysis Rating: 4 out of 5 stars4/5Deep Learning Rating: 4 out of 5 stars4/5PYTHON CODING: A Smart Guide to Coding Using Python Programming Principles to Master the Art of Coding Rating: 5 out of 5 stars5/5Data Visualization Guide: 4 BOOKS IN 1. Big and Complete Guide to Data Mining and Visualization Rating: 0 out of 5 stars0 ratingsBasic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python Rating: 5 out of 5 stars5/5Python for Beginners: 2 Books in 1: Coding for Beginners Using Python + Python Crash Course Rating: 5 out of 5 stars5/5Data Visualization: Ultimate Guide to Data Mining and Visualization. Rating: 0 out of 5 stars0 ratingsMachine Learning: Understanding Big Data, Text Analytics, and Deep Learning Rating: 5 out of 5 stars5/5Big Data: A Complete Guide to the Basic Concepts in Data Science, Cyber Security, Analytics and Metrics Rating: 4 out of 5 stars4/5Machine Learning: The New AI Rating: 4 out of 5 stars4/5
Intelligence (AI) & Semantics For You
Artificial Intelligence For Dummies Rating: 4 out of 5 stars4/5Architects of Intelligence: The truth about AI from the people building it Rating: 5 out of 5 stars5/5ChatGPT for Nonfiction Authors: How AI Can Improve Your Writing Rating: 1 out of 5 stars1/5Artificial Intelligence, Real Profits: Mastering ChatGPT-4 for Business Marketing Rating: 4 out of 5 stars4/5Artificial Intelligence: A Guide for Thinking Humans Rating: 5 out of 5 stars5/5Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence Rating: 5 out of 5 stars5/5Artificial Intelligence: The Insights You Need from Harvard Business Review Rating: 5 out of 5 stars5/5How To: GPT-4 for Financial Freedom: The Entrepreneur's Guide to Thriving in the AI Era Rating: 4 out of 5 stars4/5Artificial Intelligence: The Complete Beginner’s Guide to the Future of A.I. Rating: 4 out of 5 stars4/5The Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics Rating: 4 out of 5 stars4/5Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World Rating: 5 out of 5 stars5/5Artificial Unintelligence: How Computers Misunderstand the World Rating: 4 out of 5 stars4/5AI Ethics Rating: 4 out of 5 stars4/5Who's Afraid of AI?: Fear and Promise in the Age of Thinking Machines Rating: 5 out of 5 stars5/5The Only ChatGPT Book You Will Ever Need (Updated for GPT4): Making Money Online has Become so EASY Rating: 0 out of 5 stars0 ratings2084: Artificial Intelligence and the Future of Humanity Rating: 4 out of 5 stars4/5HBR's 10 Must Reads on AI, Analytics, and the New Machine Age Rating: 5 out of 5 stars5/5ChatGPT: Is the future already here? Rating: 4 out of 5 stars4/5Just Prompt It: Incorporating Chat GPT's GPT-4 Into Your Daily Life Rating: 4 out of 5 stars4/5The AI Advantage: How to Put the Artificial Intelligence Revolution to Work Rating: 4 out of 5 stars4/5Raspberry PI: The Next Step with Raspberry Pi: A Journey into Intermediate Programming and System Design Rating: 0 out of 5 stars0 ratingsThe Age of AI: Artificial Intelligence and the Future of Humanity Rating: 4 out of 5 stars4/5The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Rating: 5 out of 5 stars5/5ChatGPT Millions: Ideas to Generate Your First Million Using ChatGPT and AI Rating: 0 out of 5 stars0 ratingsA Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going Rating: 4 out of 5 stars4/5The Year in Tech, 2023: The Insights You Need from Harvard Business Review Rating: 4 out of 5 stars4/5
Reviews for Python Machine Learning for Beginners
2 ratings2 reviews
- Rating: 5 out of 5 stars5/5Helped take a deeper dive into the ML Rabbit hole, very comprehensive!
- Rating: 5 out of 5 stars5/5Essential materials for early stage of Data Scientist to understand the subject meaningfully. I recommend all stage of data scientist and anlayst should have this book.