Sign-In
Cart
Machine Learning With Python: How to Learn Machine Learning with Python Step by Step. The Complete Beginner's Guide to Understand Machine Learning w
Paperback
Series: Artificial Intelligence, Book 3
Currently unavailable to order
Please enter your email and a message will be sent to you when this product becomes available on our website.
ISBN13: 9781706523079
Publisher: Independently Published
Published: Nov 7 2019
Pages: 250
Weight: 0.75
Height: 0.53 Width: 6.00 Depth: 9.00
Language: English
Machine Learning applies AI or an artificial intelligence which makes systems process and learn automatically without the need of being programmed by the user. It automatically stores, retrieves, and processes data, which makes programming much easier.
Let's think of the concept of machine learning and Python and how it can be useful in our daily lives. There are so many benefits of learning and practicing Machine Learning and Python that many aspiring data scientists demands of achieving. It can not only help the industry but our personal lives as well.
Whether your dream is learning the basics of machine learning, getting your feet wet with learning a few algorithms, earning a six-figure income by becoming an engineer, or living the high life because you just came up with your company's first ever Neural Network, this Machine Learning with Python book with its step-by-step learning is the blueprint in understanding machine learning.
This step-by-step guide to machine learning teaches:
- Machine Learning Types: from supervised machine learning to deep reinforcement learning with algorithms from the k-nearest neighbor which is solely called kNN, which is a statistical approach that can be employed for answering classification and regression problems.
- A quick little synopsis on the 1943 model of the McCulloch-Pitts model of Neurons and how the prototype was put together with a simple component called Neuron.
- Operations: from data security to healthcare
- What is Python: How it is used and the benefits of learning it
- Notations: Arithmetic notation to Set Membership notation
- Roadmap for building Machine Learning Systems
- Variables in Python: How a variable is a component that holds a value that may change.
- Essential Operators for Python: from types of operators to Python Operators Precedence
- Functions: Defining the Return Statement
- Conditional Statement: How to use Conditional Statements to Else Statements with examples
- How to use Loops in Python: from Loop to Nested Loops
- What is NumPy and How to use it: Installation to Sorting Arrays
- Introduction to Pandas: Key features to Head & Tail
- Matplotlib Python Plotting: From the structure of a Matplotlib Plot to RC Settings
- The Origins of IPython/Jupyter: The start of Computational Notebooks to Installing Extensions. It explains how most of the extensions of the Jupyter Notebook can be downloaded employing the pip tool of Python.
- Charts to fully explain the steps in order from start to finish
- Applied Machine Learning Process: With a 6-step procedure and why we need to use Weka when starting to Learn Machine Learning as well as a chart that covers these steps:
- Problem Definition: Comprehend and visibly define the problem that is being explained.
- Analyze Data: Comprehend the obtainable data that will be employed to make a prototype.
- Prepare Data: Learn and expose the building in the dataset.
- Evaluate Algorithms: Grow a healthy test harness and starting point exactness from which to advance and check algorithms
- Improve Results: Influence outcomes to grow more precise prototypes.
- Present Results: Label the situation and answer problems so that it can be understood by 3rd parties.
- It also goes over how you must practice, practice, practice, and the steps you should use to practice.
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Crisis Engineering: Time-Tested Tools for Turning Chaos Into Clarity
Weaver, Matthew
Dickerson, Mikey
Nitze, Marina
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Humble, Jez
Kim, Gene
Forsgren Phd, Nicole
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Kim, Gene
Yegge, Steve
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
The Developer's Guide to AI: A Field Guide for the Working Developer
Orshalick, Jacob
Reghunadh, Jerry M.
Thompson, Danny
Paperback
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
The New AI Cold War: Liberty vs. Tyranny in the Age of Machine Empires
Maginnis, Ltc Robert L.
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Richards, Mark
Sadalage, Pramod
Ford, Neal
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Lakshmanan, Valliappa
Hapke, Hannes
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Robson, Elisabeth
Freeman, Eric
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Forsgren, Nicole
Noda, Abi
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Debugging: The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems
Agans, David J.
Paperback
Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, Chatgpt, and Beyond
Duca, Angelica Lo
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Murphy, Niall Richard
Jones, Chris
Beyer, Betsy
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Building Safer Technology: A Field Guide to Failing Well
Coles, Neil
Kissner, Lea
Zunger, Yonatan
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Winters, Titus
Manshreck, Tom
Wright, Hyrum
Paperback
Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Troelsen, Andrew
Japikse, Phil
Paperback
Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Build an AI Agent (from Scratch): Agents That Reason, Plan, and ACT Autonomously
Song, Younghee
Hur, Jungjun
Paperback
Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Luksa, Marko
Conner, Kevin
Paperback
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Programming Massively Parallel Processors: A Hands-On Approach
Hwu, Wen-Mei W.
Kirk, David B.
El Hajj, Izzat
Paperback
Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Maurizio, Giri
Cipriani, Alessandro
Paperback