Python For Artificial Intelligence And Data Science

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Python For Artificial Intelligence And Data Science

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Author : Mr.G.Hubert
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-09-10

Python For Artificial Intelligence And Data Science written by Mr.G.Hubert and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 with Computers categories.

Mr.G.Hubert, Assistant Professor & Head, Department of Artificial Intelligence, S.I.V.E.T. College, Chennai, Tamil Nadu, India. Dr.Sowmya Naik.P.T, Professor & Head, Department of Computer Science and Engineering, City Engineering College, Bengaluru, Karnataka, India. Dr.Ambika.P.R, Professor, Department of Computer Science and Engineering, City Engineering College, Bengaluru, Karnataka, India. Mrs.Laxmi.M.C, Assistant Professor, Department of Computer Science and Engineering, City Engineering College, Bengaluru, Karnataka, India.

Data Science And Analytics With Python

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Author : Jesus Rogel-Salazar
language : en
Publisher: CRC Press
Release Date : 2018-02-05

Data Science And Analytics With Python written by Jesus Rogel-Salazar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Computers categories.

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, and others. The use of Python is of particular interest, given its recent popularity in the data science community. The book can be used by seasoned programmers and newcomers alike. The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are, from the point of view of the process and results obtained. Important features of Python are also covered, including a Python primer. The basic elements of machine learning, pattern recognition, and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book. Regression analysis using Python, clustering techniques, and classification algorithms are covered in the second part of the book. Hierarchical clustering, decision trees, and ensemble techniques are also explored, along with dimensionality reduction techniques and recommendation systems. The support vector machine algorithm and the Kernel trick are discussed in the last part of the book. About the Author Dr. Jesús Rogel-Salazar is a Lead Data scientist with experience in the field working for companies such as AKQA, IBM Data Science Studio, Dow Jones and others. He is a visiting researcher at the Department of Physics at Imperial College London, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK, He obtained his doctorate in physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant in the financial industry since 2006. He is the author of the book Essential Matlab and Octave, also published by CRC Press. His interests include mathematical modelling, data science, and optimization in a wide range of applications including optics, quantum mechanics, data journalism, and finance.

Data Science For Beginners

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Author : Andrew Park
language : en
Publisher: Independently Published
Release Date : 2020-01-26

Data Science For Beginners written by Andrew Park and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-26 with categories.

Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle. Do you want to learn more about the amazing world of Data Science? Or are you interested in becoming a Python geek? Then keep reading. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Data Science, from basic code and concepts to complex Neural Networks and data manipulation. Inside, you'll discover everything you need to know to get started with Python and Data Science, and begin your journey to success! In book one, PYTHON FOR BEGINNERS, you will learn: How to install Python What are the different Python Data Types, Variables and Basic Operators Data Structures, Functions and Files Conditional and Loops in Python Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools and Exception Handling An application to Decision Trees And Much More! In book two, PYTHON FOR DATA ANALYSIS, you will learn: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Neural Network The 7 Python libraries that make Python one of the best choices for Data Analysis How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More! In book three, PYTHON MACHINE LEARNING, you will learn: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Machine learning training models, Regression techniques and Linear Regression in Python How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python Artificial Neural Networks And Much More! And in book four, PYTHON DATA SCIENCE, you will learn: What Data Science is all about and why so many companies are using it to give them a competitive edge. Why Python and how to use it to implement Data Science The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises The 7 most important algorithms and models in Data Science Data Aggregation, Group Operations, Databases and Data in the Cloud 9 important Data Mining techniques in Data Science And So Much More! Whether you're a complete beginner or a programmer looking to improve his skillset, Data Science for Beginners is your all-in-one solution to mastering the world of Python and Data Science. Would you like to know more?Scroll Up and Click on the BUY NOW Button to Get Your Copy!

Machine Learning With Python

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Author : Russel R Russo
language : en
Publisher:
Release Date : 2021-02-04

Machine Learning With Python written by Russel R Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with categories.

Are you fascinated by Machine Learning but it seems too complicated?Do you have some coding skills but you want to go deeper in Python and Machine Learning? If this is you, please keep reading: you are in the right place, looking at the right book. Since you are reading this you are probably aware of how important Artificial Intelligence is in these days. In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives. Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics. Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business. And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?" Well, if you kept reading so far you are on the right track to answer your question. In Machine Learning with Python you will find: Why python is the best language for Machine Learning How to bring your ideas into a computer The smartest way to approach Machine Learning How to deal with variables and data Tips and tricks for a smooth and painless journey into artificial intelligence The most common myths about Machine Learning debunked So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?" An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW! Buy Machine Learning with Python now and start mastering the secrets of Artificial Intelligence.

Python For Data Science

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Author : Mik Arduino
language : en
Publisher: Charlie Creative Lab
Release Date : 2020-11-28

Python For Data Science written by Mik Arduino and has been published by Charlie Creative Lab this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-28 with categories.

If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading... Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible. What are some points you will learn in this book? - Artificial Intelligence: How Does it Work? How is it Used? - The Key Elements of Machine Learning - Machine Learning vs Deep Learning - Data Science vs Business Intelligence - The Data Science Lifecycle - The Value of Big Data Explained to a Child - 4 Tips for Data Cleaning and Organizing Your Data - Python Data Analysis 360° - 6 Different Machine Learning Algorithms - How to Handle Data Visualizations Python for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Buy now to find out about Python for Data Science.

Data Science For Beginners

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Author : Leonard Deep
language : en
Publisher:
Release Date : 2019-07-03

Data Science For Beginners written by Leonard Deep and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with categories.

★★ Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Have you ever wondered how speech recognition and search engines really work? Do you wish you could get a machine to do more of your tasks? Even if you are brand new to programming, you can learn how to use Python and Machine Learning to make your life easier or develop a satisfying career in a growth industry. You probably use Machine Learning countless times daily. Your search engine or a chess app, the GPS that gives you turn-by-turn driving directions, an app that predicts the next word you want to type or translates your voice to text: they all use Machine Learning. If you are interested in programming and want to understand Python and Machine Learning, the thoughtful, systematic approach to learning in this two-volume bundle will help you get started in this growing field even if you are a novice. Machine Learning for Beginnerscovers the basic knowledge you need and explores all of the cool accomplishments this kind of programming language allows. It answers these and other questions: What is data science and why is it important? What is machine learning and what the benefits of this kind of programming? What is the difference between machine learning and artificial intelligence? What basics and building blocks do you need to know about machine learning? How do supervised machine learning, unsupervised machine learning, and reinforcement machine learning differ? What tips will help you the most out of machine learning? Python Machine Learning for Beginners, the ultimate guide for newbies, provides easy-to-understand chapters to guide you through the early stages of Python programming, considered an excellent program choice for beginners. Topics include: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Python Machine Learning for Beginnersuses examples and exercises to help you retain the information. Machine Learning for Beginners provides the tools you need to enjoy the many benefits of using machine learning for some of your programming needs. Scroll back up to the top of this page and hit BUY IT NOW to get your copy and start learning how to write your own machine learning programs.

Python For Data Science

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Author : Erick Thompson
language : en
Publisher:
Release Date : 2020-11-29

Python For Data Science written by Erick Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-29 with Computers categories.

Are you looking for a crash course that will help you learn Python? Do you want to master data science using Python? If yes, then keep reading! Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you. This is a Python guide with 2 Books in 1: Python crash course Python for data analysis Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination. Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry. You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers. This guide covers: The world of data science technologies Application of machine learning Data scientist: the sexiest job in the 21st century Learning Python from scratch Data analysis with Python NumPy for numerical data processing Data visualization with Python Projects on Python And much more! Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence. Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word! Ready to get started? Click the BUY NOW button!

Python Data Science

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Author : Axel Ross
language : en
Publisher:
Release Date : 2022

Python Data Science written by Axel Ross and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Many people think that python, data science, machine learning, and artificial intelligence are difficult concepts to understand.You're fascinated by these topics, but don't you think you can understand them?Read on. Data science uses scientific strategies and Science to process data and separate information from it. It chips away at a similar idea as Big Data and Data Mining. It requires ground-breaking equipment alongside a useful calculation and programming to take care of the data issues or to process the data for acquiring meaningful learning from it. The present information patterns are giving us 80% of data in unstructured mannered while the rest 20% organized in organization for snappy dissecting. The unorganized or semi-organized details require processing to make it valuable for the present-day business person condition. For the most part, this information or details are produced from a wide assortment of sources, for example, content records, money-related logs, instruments and sensors, and sight and sound structures. Drawing important and profitable experiences from this information require propelled calculations and tools. This Science is proposing an offer for this purpose, and this is making it a useful science for the present-day mechanical world. The improvement and exceedingly useful inquire about in the world of Computer Science and Technology has made the importance of its most basic and essential concepts ascend by a thousand-crease. This principle concept is the thing that we have been everlastingly alluding to as data, and it is this data that solitary holds the way to everything in the world. The greatest of organizations and firms in the world have fabricated their establishment and philosophies and determined a unique piece of their pay totally through data. Fundamentally, the value and importance of data can be comprehended by the straightforward certainty that a legitimate store/distribution center of data is a million times more profitable than a mine of pure gold in the advanced world. Like this, the vast spread and escalated examines in the field of data has genuinely opened up a lot of potential outcomes and doors (as far as a calling) wherein curating such vast amounts of data are the absolute most lucrative employments a specialized individual can discover today. This guide will focus on the following: Applications and role of data scienceData science and applicationsGUI programming with Tkinter.Working with raw dataBuild your own sentiment analysis toolExploration of NLTKK-means clusteringOperations on dataVariable scope and lifetime in python functionsMachine learning & neural networksPrincipal components analysisSetting up your TensorFlow environmentAnd more! Don't miss the opportunity to learn more about these topics. The future has never been closer and the opportunities it offers are endless.Even if you are a beginner, if you are starting from scratch, this book will allow you to understand topics that you have already heard about and that fascinate you, but that you probably never had the courage to go into.This is the best time to start. Click the "Buy now" button!

Python For Data Science

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Author : William Wizner
language : en
Publisher:
Release Date : 2020-07-15

Python For Data Science written by William Wizner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with categories.

Do you want to learn Data analysis and Deep learning with Python coding and programming?Are you interested in practical applications on Machine learning and Artificial intelligence.?If yes, then keep reading... Many companies spend a lot of time collecting data and trying to use them to learn more about their customers and learning how to gain a competitive edge over others. Just gathering the data is not going to be enough to make it happen. Instead, we need to be able to take that data, and that data is usually pretty messy and needs some work and analyze it so that we are better able to handle all that comes with it. Data has always been relevant, but today, because of the growth in the internet and other sources, there is an unprecedented amount of data to work through. In the past, companies were able to manually go through the data they had and maybe use a few business intelligence tools to learn more about the customer and to make smart decisions. But nowadays this is nearly impossible. Evolving technologies are going to enable some cost savings for us, and smarter storage spaces to help us store some of this critical data. However, currently, in almost any industry and company, there is a huge need for skilled and knowledgeable data scientists. They are some of the highest-paid IT professionals right now, mainly because they can provide such a good value for the companies they work for, and because there is such a shortage in these professionals. This book covers: What is Data Analysis? The Basics of the Python Language Using Pandas Working with Python for Data Science Indexing and Selecting Arrays ...And Much More! So, ready to get started? Click "Buy Now"!

Machine Learning With Python

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Author : Mark Coding
language : en
Publisher: Charlie Creative Lab
Release Date : 2020-10-25

Machine Learning With Python written by Mark Coding and has been published by Charlie Creative Lab this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-25 with categories.

Are you tired of taking risks, hoping things will pay off big but you are always worried about the risks? Have you been hearing about some of the buzzwords in the world of business like data science, data analysis, and machine learning, but worry they will be too hard for you to catch onto and learn more about? Are you looking for ways to know more about your industry, what products to release, and how to gain a competitive edge overall, without all of the risks? If this sounds like something you have dealt with, then machine learning for Python is the best option for you! This guidebook is going to dive into all of the parts of this that you need to know right now! Inside, we will explore what machine learning is all about, how to add it into Python, and so many of the algorithms and steps you need to really make all of this a reality for your needs. Inside this guidebook, be prepared to take some of the basics of Python and machine learning, and turn yourself into an expert, someone who knows with certainty that all of your decisions are the right ones, and who has data and information to back them all up. Some of the different topics we will discuss in this guidebook to help make this a reality, and to ensure we can learn and make good predictions, includes: -The basics of machine learning and artificial intelligence. -How to work with Python and machine learning to get started with all the options that work with this topic. -How to work with some of the different Python machine learning algorithms out there for you to choose from. -How to work with a model of machine learning and go through the process of having your computer learn on its own. -More examples of how to work with Python and machine learning together. -The importance of working with neural networks and what all of this can mean to your code. -A look at deep learning and data science that can take your machine learning to the next level. -The steps you need to know to get started with data Preprocessing. -A look at where machine learning and more will be able to help lead us to the future. Working with machine learning for Python is an important topic a lot of businesses are diving into now more than ever. They see the value of working with data science, and what this process can do for them in terms of their success and their sound business decisions. When you are ready to learn how to use machine learning for Python for some of your business and data science needs, make sure to take a look at this guidebook to get started.