Supercharge your Python skills and uncover the amazing benefits of machine learning with this complete guide.
Are you a newcomer to the incredible programming language of Python? Are you searching for a practical beginner's introduction to the world of machine learning, artificial intelligence, and how you can create your own neural networks? Then it's time to try this book
Machine learning is the way of the future, and as a programmer, it's never been more important to understand this groundbreaking concept and begin creating your own neural networks. So how can you begin mastering machine learning even if you have only a basic understanding of Python?
Packed with handy advice and detailed overviews, Python Machine Learning unveils the inner workings of neural networks and artificial intelligence in a way that even beginners can understand. With reference to basic terminology and concepts, training sets, algorithms, and so much more, this complete guide lets you begin creating your own networks even with the most basic knowledge of Python.
Plus, you'll also find a wealth of tips for building good data sets and finding the right algorithm for all of your goals.
Inside this comprehensive guide, you'll find:
A Brilliant Introduction To The Essentials of Machine Learning and Its Surprising History
Understanding The Basic Terminology and Ideas Behind Machine Learning Systems
How To Pick The Right Classifiers, Variables, Metrics, Models and More
Practical Advice For Developing Your Own Machine Learning System
10 Must-Know Algorithms For Classification
Tips and Tricks For Building Good Data Sets
And Much More...
Whether you want to begin programming for the first time, expand your skillsets into new areas, or simply create artificial intelligence as a hobby, Python Machine Learning shows you in plain English how to supercharge your Python skills and begin experimenting with this revolutionary programming concept.
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Kickstart your Python skills and explore the world of programming with this ultimate guide
Are you interested in mastering the Python programming language? Looking for an ultimate guide to help you break down Python and uncover everything you need to know about it? Then it's time to try this book.
Python is a brilliant programming language which is a favorite of countless professionals and programmers around the world. Now, this book explores exactly how you can get started with Python, using step-by-step instructions and useful tools to help you discover why this programming language is so popular.
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Here's just a little of what you'll find inside:
Python 101 - Everything You Need To Know To Get Started
Understanding Variables, Indentation, Comments, Strings, and How To Structure Your Code
An Exploration of Operators, Data Types, List, Tuples and More
The Power of Functions and Loops
Common Programming Mistakes To Avoid
A Breakdown of Classes and How To Use Them
And Much More
With simple advice, step-by-step instructions, and a ton of easy-to-understand advice just perfect for the beginner, now it's never been easier to break into the world of Python programming and succeed with this brilliant language.
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Explore the ultimate guide for Python data science and learn how to work with data the easy way.
Are you a novice or experienced programmer, and you're looking for a deep-dive into the world of data science? Do you want to uncover the best ways to handle data using Python? Or are you in need of step-by-step advice to help you wrap your head around data sets, data wrangling and more? Then keep reading...
As a favorite of programmers across the globe, Python offers a powerful and practical solution for all of your data science needs. But with so much advice out there and so many confusing approaches, how can you find a down-to-earth, beginner's introduction to this essential skill?
Breaking down the details of Python data science, this ultimate guide reveals how you can kickstart your skills as a programmer and benefit from the wide range of tools and libraries which Python offers you. From data aggregation and machine learning to how you can collect and manipulate data, this brilliant handbook arms you with the must-have knowledge for becoming a data science pro.
Here's just a little of what you'll find inside:
Why YOU Should Be Using Python For Data Science
A Simple Beginner's Examination of The Basics of Using Python
The Amazing Ways The NumPy Library Can Help You With Data Science
How To Collect, Manipulate, Clean and Prepare Your Data
Practical Steps For Data Wrangling
Surprisingly Simple Ways To Visualize Your Data and Draw Meaningful Conclusions
And So Much More
With bonus advice on machine learning, practical examples of Python data science in action, as well as how you can benefit from extra libraries including IPython, Jupyter, Scikit-Learn and TensorFlow, now even a complete beginner can begin their journey with Python and become a data scientist in no time.
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Unleash your programming abilities and master the world of python with this ultimate 3-in-1 bundle
Do you want to uncover python programming, data science, and machine learning? Looking for the best, most up-to-date books that even a complete beginner can use? Then this bundle is for you
Written with the beginner in mind, this comprehensive and insightful bundle explores how you can get started with the world of python programming. Python is the favorite and go-to language for countless programmers around the world - now, you can master this language and discover the world of data science, machine learning, and much more.
From the complete basics of python to advanced concepts, neural networks, and the best ways to write code, this bundle is perfect for anyone who wants to break into programming and familiarize themselves with these essential tools.
In book one, you'll explore python programming like never before, including:
- Everything You Need To Know About The Fundamentals of Python Programming
- Understanding (and Mastering) The Basics
- An Exploration of Lists, Tuples, Dictionaries, Conditional and Decisional Statements
- The Best Ways to Avoid Errors and Build Your Code
- And Tons of Tips and Tricks For Using Loops, Inputs, Functions, Classes and More
In book two, you'll learn how to build machine learning models, including:
- Why Machine Learning Is So Important
- The Secret To How Machine Learning Works - Must-Know Concepts and Elements
- Highly Effective Ways To Build Neural Networks and Training Models
- Using Classifiers, Mathematical Notation, and More
- And the Top Ways To Create The Perfect Training Sets
And in book three, you'll find out how python is revolutionizing data science, including:
- How Python Is Revolutionizing The Field of Data Science
- The Best Ways To Collect, Clean, Manipulate, and Prepare Your Data
- How To Turn Your Data Into Something You Can Read and Analyze
- Understanding The Secret of Time Series, Data Aggregation, and Machine Learning
- The Perfect Libraries To Use For Python and Data Science
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You must have gotten the opportunity to pay for parking at a mall, where a machine is able to tell the amount of money you owe depending on how long your car was in the parking lot and probably a few other features. However, have you ever wondered just how the parking meter is able to differentiate between currencies and give you the right change? Furthermore, have you ever wondered how applications such as Uber can predict the amount of time it will take you to get home to such a high degree of accuracy yet traffic can be so unpredictable?
If you have ever asked yourself questions about the basic or especially the complex predictions and conclusions machines are making these days, then your answer lies in Machine learning. Human beings have different ways in which they learn, some of the methods including experience or even having someone teach them. Therefore, to try to make machines even more useful to human beings, it is possible to teach machines to make decisions in several ways, and these can learn and have faster and more accurate output compared to how a human being would compete.
People usually understand the concept of how a machine will do something you have programmed it to do because people came to terms with that years ago. However, what still fascinates people is how a machine is able to make decisions independently by considering a situation and even making a prediction that turns out to be true.
Machine learning is at a very high-level today when you compare to a few years back, so that would make you wonder just how advanced machines will be in the next 20 to 30 years. It is highly likely that machines will become better versions of us, but we hope they will never get so independent and intelligent that they eventually decide to rule over us.
The objective of writing this book is to help a beginner to understand the basics of machine learning to the point of even training a machine to carry out some functions. This book also explains the advantages associated with using Python, since an individual does not necessarily have to be an expert coder to start using it.
Some of the main topics discussed in this book include:
The history of machine learning
Key machine learning definitions
Application of machine learning
Key elements of machine learning
Types of artificial intelligence learning
Mathematical notation for machine learning
Terminologies in use for machine learning
Roadmap for building machine-learning systems
Using python for machine learning (and understanding variables, essential operator, functions, conditional statements, and loop)
Types of artificial neural networks
Artificial neural network layers
Advantages and disadvantages of neural networks
Machine learning classification
Types of classifiers in python machine learning
Machine learning classification models
Metrics for evaluating machine learning classification models
Machine learning training model
Developing a machine learning model with python
Training simple machine learning algorithms for classification
Building good training sets
Would you like to know everything you need about Python Machine Learning?
Download this book and commence your journey to learning how to understand Python Machine Learning for Beginners and Artificial Intelligence.
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