Python Programming Language for Beginners: The First Real Guide For Beginners Towards Machine Learning And Artificial Intelligence. Learn How To Devel, Simpson Oliver R.
If you want to be a machine learning expert, you do have to develop a sound understanding of all the nitty-gritty of this area and there's no other way around it.
But relax, this book is here to rescue you by simplifying and providing a working definition of machine learning technology.
The concepts of machine learning and machine learning algorithms can appear daunting and complex to most computer programming beginners.
Most of the information out there on various machine learning constitutes a description of a few pages, and yes, it is difficult to find time and energy to deal with such widespread detail.
However, it is important to master the concepts of machine learning technology and learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines using various machine learning algorithms.
Some of the highlights of the book include:
- Master the concepts of artificial intelligence technology
- Learn how artificial intelligence technology is being applied in some of the most important industrial domains
- Learn the basic concepts and the definition of machine learning.
- Overview of different types of machine learning algorithms along with the relationship between machine learning and Artificial Intelligence technology.
- A thorough understanding of the concept of the "Statistical Learning" framework of machine learning has been provided.
- Deep dive into a variety of supervised and unsupervised learning algorithms explained in exquisite detail.
- Select algorithms have been explained with required mathematical equations for application in real life.
- Learn how the "Artificial Neural Networks" or (ANN) have been developed with inspiration from the structure of the human brain.
- Learn the 9 stages to create a data pipeline to build your own machine learning model.
- Learn the basics of Python programming language and some of the key features that render it as the language of choice for coding beginners and advanced software programmers alike.
- An overview of various renowned machine learning libraries such as "Scikit-Learn", "NumPy", "SciPy", "IPython", and "Pandas" among others.
This book is filled with real-life examples to help you understand the nitty-gritty of the concepts and names and descriptions of multiple tools that you can further explore and selectively implement to make sound choices for the development of a desired machine learning model.
Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level.
Remember knowledge is power and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
Your Python programming skillset will improve drastically and you will be poised to develop your very own machine learning model
Did you know that there are 698 programming languages? One of them that is the easiest to master is Python. Named after "Monty Python's Flying Circus", a BBC comedy series from the 1970s, learning Python is a piece of cake if you have the right teacher. And, there is no better and more straightforward teacher than this course
Python is a high-level programming language with dynamic semantics that emphasizes readability and ease of use.
The syntax rules of Python allow you to express concepts without writing additional code.
Python has an extensive and robust standard library, and it is an open-source programming language that will help you curtail the cost of software development significantly.
Also, Python is designed with features to facilitate data analysis and visualization. You can use it to create custom big data solutions without putting extra time and effort. So, what stops you from using Python to design amazing apps?
Don't let your fear of trying something new stop you If you have a great idea for a program or an app, but you don't know how to bring it to life, this book will be your savior.
In his book, Oliver teaches you everything there is to know about Python machine learning, data science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days
Here's what you'll discover inside this book:
- The Basics of Machine Learning: learn how to use classification algorithms and create data pipelines that are essential to machine learning
- Essential Skills for Python Programming: a straightforward guide that will turn you from a rookie into an expert in Python programming and coding
- How to Master Data Science: lessons that will teach you how to collect data from scratch, improve your skills, and become an unprecedented data scientist
- And much more
This book is not for people who want to learn what is programming. It is for those who dream of becoming expert programmers without spending months learning the basics. The thing is, you can't learn how to program overnight. But, if you set aside some time every day to read this book and practice, then you'll be able to start developing your programs and apps in no time
If you're ready to start this journey then...
Get Your Copy Now
Автор: Simpson Oliver R. Название: Python for Data Analysis: A Basic Guide For Beginners To Learn The Language Of Python Programming Codes Applied To Data Analysis With Libraries ISBN: 1801203245 ISBN-13(EAN): 9781801203241 Издательство: Неизвестно Рейтинг: Цена: 18370.00 T Наличие на складе: Нет в наличии. Описание: Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector? If you want to be a data analysis expert, and looking to develop a sound understanding of all the nitty-gritty of this field, then this book is here to rescue you by simplifying and providing a working definition of "Big Data" and "Big Data Analytics."
In addition to that, this book will also provide you a concise overview of the fundamentals of machine learning, the underlying challenges and limitations of engineering machines to 'think' using open source data analysis libraries built on Python such as "Scikit-Learn" and "Pandas", with example from open source data sets that you can easily access and get your hands dirty.
Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining existing customers is fierce.
As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition.
Few of the many reasons why you should buy this book include:
- Learn how our increasing online presence has led to the development of large volumes of data called "Big Data" and its significance in our modern lives.
- Learn all about the historical development of the current explosion in this field of Big Data Analytics and how it differs from data visualization techniques.
- Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology, and learn about some data mining tools that you can leverage for your business.
- Get familiar with the "Python" programming language with a detailed overview of a variety of Data Analysis libraries, including "Django," "Scikit-Learn," "NumPy," "Pandas," and "IPython" among others.
- Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data.
- Get a step-by-step walkthrough of how the "Scikit-Learn" platform can be used to create your own predictive data analysis model by processing Big Data to produce high-quality training and test data sets.
- Learn how big data and big data analytics are being leveraged by businesses across the industrial spectrum, with a focus on the eCommerce, healthcare, and entertainment industry.
This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and descriptions of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies.
Remember, knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
So, be a Good Samaritan and spread the word to your friends and family, help them get access to this power
If this is the book you need to understand and master the fundamentals and importance of big data science technologies to kick start your business or take it to the next level, Scroll Up and Click the Buy Now Button.
If you want to be a machine learning expert, you do have to develop a sound understanding of all the nitty-gritty of this area and there's no other way around it.
But relax, this book is here to rescue you by simplifying and providing a working definition of machine learning technology.
The concepts of machine learning and machine learning algorithms can appear daunting and complex to most computer programming beginners.
Most of the information out there on various machine learning constitutes a description of a few pages, and yes, it is difficult to find time and energy to deal with such widespread detail.
However, it is important to master the concepts of machine learning technology and learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines using various machine learning algorithms.
Some of the highlights of the book include:
- Master the concepts of artificial intelligence technology
- Learn how artificial intelligence technology is being applied in some of the most important industrial domains
- Learn the basic concepts and the definition of machine learning.
- Overview of different types of machine learning algorithms along with the relationship between machine learning and Artificial Intelligence technology.
- A thorough understanding of the concept of the "Statistical Learning" framework of machine learning has been provided.
- Deep dive into a variety of supervised and unsupervised learning algorithms explained in exquisite detail.
- Select algorithms have been explained with required mathematical equations for application in real life.
- Learn how the "Artificial Neural Networks" or (ANN) have been developed with inspiration from the structure of the human brain.
- Learn the 9 stages to create a data pipeline to build your own machine learning model.
- Learn the basics of Python programming language and some of the key features that render it as the language of choice for coding beginners and advanced software programmers alike.
- An overview of various renowned machine learning libraries such as "Scikit-Learn", "NumPy", "SciPy", "IPython", and "Pandas" among others.
This book is filled with real-life examples to help you understand the nitty-gritty of the concepts and names and descriptions of multiple tools that you can further explore and selectively implement to make sound choices for the development of a desired machine learning model.
Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level.
Remember knowledge is power and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
Your Python programming skillset will improve drastically and you will be poised to develop your very own machine learning model
- Do you want to learn about Data Science from absolute scratch?
- Do you want to learn how to program with Python? And become a Data Scientist?
- Do you want to have an established and well-paid job for the next few years? And earn a lot of money?
If your answer is Yes, keep reading...
Python is an excellent computer programming language used for many different functions.
The large community behind this open-source language has developed several tools to competently work with Python.
In recent years, different tools have been developed specifically for data science.
Therefore, analyzing data using Python has never been simplified.
In this book, you will kick start your career in python data science with basic arithmetic and variables; you will learn how to work with Python lists, Pandas, and Dataframes.
As you continue, you will be introduced to the concept of Python functions and control flow. Besides that, you will also learn about data visualizations with Python and build your own beautiful visualizations.
Even if you have never written a single python code, you'll be able to follow this book and see how Python makes Data Science simple.
Besides getting familiar with the basic Python syntax and common Data Science modules such as charts and graphs, you will also learn something about Bayes.
What you will learn:
Explore Python fundamentals and basic syntax
Build and manipulate regular Python lists
Build and customize plots on real data.
Use functions and import packages.
You will learn different kinds of plots
Python libraries
And many more...
If you don't want to stay out of the world of work...
If you don't want to be crushed by the greatest industrial revolution in history, but you want to be an active part of this evolution and enjoy its benefits as much as possible....
Then act now and don't miss this opportunity, I'm giving you What are you waiting for?
Автор: Goldsmith Oliver, Simpson Robert Название: Dr. Goldsmith`s History of Rome ISBN: 1241457247 ISBN-13(EAN): 9781241457242 Издательство: Неизвестно Рейтинг: Цена: 28280.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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