Python For Beginners 2021 Ultimate Step By Step Guide To Machine Learning Using Python
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Python For Beginners 2021 Ultimate Step By Step Guide To Machine Learning Using Python
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Author : Leo Sgarbi
language : en
Publisher:
Release Date : 2021-10-23
Python For Beginners 2021 Ultimate Step By Step Guide To Machine Learning Using Python written by Leo Sgarbi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-23 with Computers categories.
Python was developed in 1980s by Guido Van Rossum of Netherlands. Python was developed as an object-oriented language with an emphasis on simplicity, extensibility and flexibility. Python also comes with a large library of pre-built functionality for data science, statistical analysis and data visualizations which make this language very easy to learn and use. In this book we will focus on data science applications of Python with hands on examples that allow you to go from novice to expert in a short period of time! We will start with getting you set up with Python, introducing you to its data structures and libraries and then finally getting into the data science applications of this beautiful language. What you will find different about this book is the visual and hands on approach it takes to teaching Python. Since this book is directed at beginners, we will not drone on and on about complex concepts or make this book text heavy. Instead, we will take inspiration from the Zen of Python by Tim Peters.
Hacker S Guide To Machine Learning Concepts
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Author : Trilokesh Khatri
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Hacker S Guide To Machine Learning Concepts written by Trilokesh Khatri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Hacker’s Guide to Machine Learning Concepts is crafted for those eager to dive into the world of ethical hacking. This book demonstrates how ethical hacking can help companies identify and fix vulnerabilities efficiently. With the rise of data and the evolving IT industry, the scope of ethical hacking continues to expand. We cover various hacking techniques, identifying weak points in programs, and how to address them. The book is accessible even to beginners, offering chapters on machine learning and programming in Python. Written in an easy-to-understand manner, it allows learners to practice hacking steps independently on Linux or Windows systems using tools like Netsparker. This book equips you with fundamental and intermediate knowledge about hacking, making it an invaluable resource for learners.
Python Machine Learning
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Author : Brady Ellison
language : en
Publisher:
Release Date :
Python Machine Learning written by Brady Ellison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Ready to discover the Machine Learning world? Machine learning paves the path into the future and it’s powered by Python. All industries can benefit from machine learning and artificial intelligence whether we’re talking about private businesses, healthcare, infrastructure, banking, or social media. What exactly does it do for us and what does a machine learning specialist do? Machine learning professionals create and implement special algorithms that can learn from existing data to make an accurate prediction on new never before seen data. Python Machine Learning presents you a step-by-step guide on how to create machine learning models that lead to valuable results. The book focuses on machine learning theory as much as practical examples. You will learn how to analyse data, use visualization methods, implement regression and classification models, and how to harness the power of neural networks. By purchasing this book, your machine learning journey becomes a lot easier. While a minimal level of Python programming is recommended, the algorithms and techniques are explained in such a way that you don’t need to be intimidated by mathematics. The Topics Covered Include: Machine learning fundamentals How to set up the development environment How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy How to explore data How to solve regression and classification problems Decision trees k-means clustering Feed-forward and recurrent neural networks Get your copy now
Machine Learning Guide For Oil And Gas Using Python
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Author : Hoss Belyadi
language : en
Publisher: Gulf Professional Publishing
Release Date : 2021-04-09
Machine Learning Guide For Oil And Gas Using Python written by Hoss Belyadi and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with Science categories.
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. - Helps readers understand how open-source Python can be utilized in practical oil and gas challenges - Covers the most commonly used algorithms for both supervised and unsupervised learning - Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques
Machine Learning With Dynamics 365 And Power Platform
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Author : Aurelien Clere
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-06
Machine Learning With Dynamics 365 And Power Platform written by Aurelien Clere and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-06 with Computers categories.
Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics. The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. The authors demonstrate: What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects The creation and management of environments for development, testing, and production of a machine learning project How adopting machine learning techniques will redefine the future of your ERP/CRM system Perfect for Technical Consultants, software developers, and solution architects, Machine Learning with Dynamics 365 and Power Platform is also an indispensable guide for Chief Technology Officers seeking an intuitive resource for how to implement machine learning in modern business applications to solve real-world problems.
Learn Python
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Author : Anthony Adams
language : en
Publisher: Anthony Adams
Release Date : 2021-12-13
Learn Python written by Anthony Adams and has been published by Anthony Adams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Computers categories.
Do you want to become a coding & programming expert in no time? This guide will teach you how! Are you interested in coding, programming, and artificial intelligence? Would you like to learn Python, but you have no idea how to start? This guide is the answer to all your problems! Python is one of the top 10 popular programming languages, and it can be used to developing desktop GUI applications, websites, and web applications. There are many reasons why learning Python is essential. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes code readability and will enable you to use English keywords instead of punctuations. Then, Python has an extensive and robust standard library, which makes it score over other programming languages. Besides, it is an open-source programming language, meaning that it will help you curtail software development cost significantly. Last but not least, Python is designed with features to facilitate data analysis and visualization. You can use it to create custom big data solutions without putting in extra time and effort. Are you excited about learning more about Python and coding? Here is what you can learn from this book: • The importance of data analysis and machine learning • How is Python different from other languages • Learn from more than 25 Python programming examples • All the benefits of learning Python • How can Python help you out with learning other languages Learning Python is easy, even if you’ve never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time! The software is user-friendly and designed to increase speed and productivity during programming. With Python, you can create any app you want to! Ready to start coding? This book will teach you how to do it and guide you through the coding process! Scroll up, click on "Buy", and Get Your Copy Now!
Interpretable Machine Learning With Python
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Author : Serg Masís
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-26
Interpretable Machine Learning With Python written by Serg Masís and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Computers categories.
A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naïve Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.
Eksplorasi Dan Analisis Data Bisnis
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Author : Samiaji Sarosa
language : id
Publisher: PT Kanisius
Release Date :
Eksplorasi Dan Analisis Data Bisnis written by Samiaji Sarosa and has been published by PT Kanisius this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Sains Data atau Data Science beserta Big Data, Artificial Intelligence, dan Machine Learning banyak diperbincangkan dalam dunia bisnis belakangan ini. Banyak yang menyambut baik penggunaannya, tetapi banyak pula yang “ketakutan” akan dampaknya. Buku ini bertujuan memberikan pemahaman dan mengantarkan pembaca pada apa yang sebenarnya terjadi dalam berbagai aplikasi berbasis kecerdasan buatan tersebut. Secara khusus, buku ini berfokus pada metode eksplorasi dan analisis data bisnis guna membuat keputusan yang lebih baik. Berbagai teknik pengambilan, persiapan, analisis, pelaporan, dan visualisasi data dipaparkan dengan contoh dan ilustrasi.
Python Programming For Newbies
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Author : Ajit Kumar
language : en
Publisher: Ajit Kumar
Release Date : 2021-05-06
Python Programming For Newbies written by Ajit Kumar and has been published by Ajit Kumar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-06 with Computers categories.
Python is one of the best programming languages which is both simple and powerful. This is good for beginners as well as for experts, and more importantly, is fun to program with. This book aims to help you learn this wonderful language and show how to get things done quickly. This book is written to help you learn Python programming FAST and learn it WELL. If you are a beginner in Programming, you'll find that this book explains complex concepts in an easy-to-understand manner. Examples are carefully chosen to demonstrate each concept so that you can gain a deeper understanding of the language. Also, as Richard Branson puts it: "The best way of learning about anything is by doing". At the end of the course, you'll be guided through a project that gives you a chance to put what you've learned to use. If you think you are new to programming, it’s the right place which helps you to learn the alphabets of Python. If you are an experienced coder, this book gives you a good base to explore Python. The aim is that if all you know about computers is how to start a computer, then you can learn Python from this book. If you have previous programming experience, you will be interested in understanding the differences between Python and your favorite programming language.
Computer Programming
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Author : Damon Parker
language : en
Publisher: New Begin LTD
Release Date : 2021-05-28
Computer Programming written by Damon Parker and has been published by New Begin LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Computers categories.
Programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike. This book is written to help you master the basic concepts of Python and SQL coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. The Structured Query Language (SQL) is the language of choice to define, manipulate, control, and query the data within an RDBMS. This book will provide you overarching guidance on how you can use Python to develop machine learning models using Scikit-Learn, most widely used Python-based machine learning library. Python programming, data analysis, and machine learning are widely credited in the birth of the powerhouse, which is the “Silicon Valley.” To become a machine learning expert, a sound and in-depth understanding of every nuance of this area is critical. On the other hand, you can efficiently and effectively learn and write SQL statements or queries to retrieve from and update data on relational databases such as MySQL. You will be able to install the free and open MySQL user interface with the instructions provided in this book. Some of the highlights of the book include: ● Key features and advantages of learning to code Python as well as the history of how Python programming was created. ● Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux). ● Concept of Python data types is presented in exquisite detail with various examples of each data type. ● Learn how to create Python variables and assign desired data type to them. ● Includes comprehensive lists of a variety of built-in functions and methods supported by Python. ● Basic concepts of writing efficient and effective Python codes, focusing on various programming elements such as Booleans, Tuples, Sets, Dictionaries, and much more. ● A variety of SQL data types that are a pre-requisite for learning SQL have been explained in an easy to understand language. ● Learn how to create an effective database on the MySQL server as well as to create data tables and insert data into those tables. ● The key concept of SQL Joins is provided in exquisite detail including different SQL JOIN and the SQL Union functions. ● Learn CREATE VIEW, MERGE, TEMPTABLE, UNDEFINED, Updatable SQL Views, ALTER VIEW and CREATE OR REPLACE VIEW statements. ● The properties of SQL transactions as well as various SQL transaction statements with controlling clauses such as, START TRANSACTION, COMMIT, ROLLBACK among others. Finally, as an added bonus you will learn some Python and SQL 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. Don't miss the opportunity to quickly learn a programming language like SQL. Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time! Don't wait any longer! Grab your copy now!