Machine Learning For Absolute Beginners A Plain English Introduction

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Machine Learning For Absolute Beginners

Author : Oliver Theobald
ISBN : 1549617214
Genre : Computer algorithms
File Size : 62.79 MB
Format : PDF, Mobi
Download : 734
Read : 1068

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.
Category: Computer algorithms

Introduction To Machine Learning With Python

Author : Deborah Oliver
ISBN : 1704654408
Genre :
File Size : 90.3 MB
Format : PDF, Mobi
Download : 165
Read : 1018

This book gives a layman explanation for machine learning using Python. We will explain a lot of basic machine learning topics using python code. There are a lot of examples that we can use to master the skill of Data science. This book will help you understand the basic algorithms that machine learning deals with. There are a lot of concepts that can be used to acquire advanced skills in data science and its subsequent subfields. In the first chapter, we will discuss very basics and introduce Python environment for the users. There are certain basic principles that can be learned using the book. We will then discuss data processing techniques which are very important for a good machine learning model. We will introduce pandas, numpy models to the reader along with their use cases. We will also try to expand our knowledge using machine learning algorithms that are described in the book. In the next sections, we will learn about machine learning models. The last two chapters will give a practical point of view to what we have discussed. Below, we explain the most important concepts we discussed in this book in no particular order. Introduction to machine learning and python environment Introduction to numpy, Pythons, and other machine learning python modules Introduction to data processing techniques in detail Introduction to data visualization in detail. We will learn about histogram and pie in detail We will learn about a lot of machine learning algorithms like Regression analysis, Decision trees, Support vector machine, and others in detail We will also discuss other algorithms in brief We will learn about ensemble modeling in detailed in the chapters inside We will give a few use cases to it We will also discuss hyperparameter turning in detail We will next learn about machine learning project structure, pipelines, and other advanced topics in the last chapter So why are you still waiting? Go buy it!
Category:

Statistics For Absolute Beginners

Author : O.Theobald
ISBN : 154991748X
Genre :
File Size : 37.49 MB
Format : PDF, ePub, Mobi
Download : 289
Read : 643

As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time. Written by the author of the popular learning resource "Machine Learning for Absolute Beginners," this book will guide you through important techniques in inferential statistics. This includes linear regression, standard deviation, probability, hypothesis testing, and clustering analysis, to prepare you for further study in the field of statistics, applied research or data science. Topics covered in this book: Sampling & PermutationsCentral Tendency MeasuresMeasures of SpreadMeasures of PositionHypothesis TestingProbabilityBinomial ProbabilityRegression AnalysisClustering Analysis Please feel welcome to join this hands-on introductory course by buying a copy, or sending a free sample to your preferred device.
Category:

Microcomputed Tomography

Author : Stuart R. Stock
ISBN : 9780429532467
Genre : Technology & Engineering
File Size : 89.52 MB
Format : PDF, ePub, Mobi
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MicroComputed Tomography has become the gold standard for studying 3D microscopic structures nondestructively, and this book provides up-to-date coverage of the modality. The first part of the book focuses on methodology, covering experimental methods, data analysis, and visualization approaches. Emphasis is on fundamentals so that those new to the field can design their own effective microCT studies. The second part addresses various microCT applications, organized by type of microstructure so that the reader can appreciate approaches from other disciplines. The applications include porous solids, microstructural evolution, soft tissue studies, applications using x-ray phase contrast or x-ray scattering contrast, and multimode studies.
Category: Technology & Engineering

Cyber Risk Management

Author : Christopher Hodson
ISBN : 9780749484132
Genre : Business & Economics
File Size : 84.60 MB
Format : PDF, Kindle
Download : 639
Read : 1022

Most organizations are undergoing a digital transformation of some sort and are looking to embrace innovative technology, but new ways of doing business inevitably lead to new threats which can cause irreparable financial, operational and reputational damage. In an increasingly punitive regulatory climate, organizations are also under pressure to be more accountable and compliant. Cyber Risk Management clearly explains the importance of implementing a cyber security strategy and provides practical guidance for those responsible for managing threat events, vulnerabilities and controls, including malware, data leakage, insider threat and Denial-of-Service. Examples and use cases including Yahoo, Facebook and TalkTalk, add context throughout and emphasize the importance of communicating security and risk effectively, while implementation review checklists bring together key points at the end of each chapter. Cyber Risk Management analyzes the innate human factors around risk and how they affect cyber awareness and employee training, along with the need to assess the risks posed by third parties. Including an introduction to threat modelling, this book presents a data-centric approach to cyber risk management based on business impact assessments, data classification, data flow modelling and assessing return on investment. It covers pressing developments in artificial intelligence, machine learning, big data and cloud mobility, and includes advice on responding to risks which are applicable for the environment and not just based on media sensationalism.
Category: Business & Economics

Statistics For Absolute Beginners Second Edition

Author : Oliver Theobald
ISBN : 9798654976123
Genre :
File Size : 37.54 MB
Format : PDF
Download : 816
Read : 865

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these morsels of information lie dormant and useless, like unattached Lego blocks. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes Historical Development of Statistics Data Sampling Central Tendency Measures Measures Of Spread Measures Of Position Designing Hypothesis Tests Probability & Bayes Theory Regression Analysis Clustering Analysis As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.
Category:

Machine Learning With Python For Everyone

Author : Mark Fenner
ISBN : 9780134845647
Genre : Computers
File Size : 64.15 MB
Format : PDF
Download : 727
Read : 332

The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Category: Computers

Machine Learning With Python For Everyone First Edition

Author : Mark Fenner
ISBN : 0134845684
Genre :
File Size : 53.91 MB
Format : PDF, ePub, Mobi
Download : 870
Read : 836

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Category:

Machine Learning For Beginners

Author : Anderson Coen
ISBN : 9798648682955
Genre :
File Size : 23.87 MB
Format : PDF
Download : 557
Read : 782

Machine Learning for Beginners Are you ready to spin up a virtual GPU instance and crash through petabytes of data? Do you like to add machine learning to your professional profile? But wait a minute. Before you go onboard on your grand expedition into the realm of machine learning, there's some theory you need to deal with first. Instead of wasting your money on a dense, boring, and lengthy textbook, you might like to read this book first. A concise and clear option to a textbook. Machine Learning for Beginners provides a high-level and efficient introduction to the basic components as well as statistical concepts seen in machine learning. This book has been written and created for absolute newbies like you. That means there won't be any jargon, plain English discussions, and no experience needed. Clear explanations are distributed throughout the book, making it engaging and simple for you to follow along at home, where core algorithms are presented. The book opens with a basic introduction to machine learning. The second half of the book is much practical and dives into specific algorithms and statistical concepts applied in machine learning. At the end of this book, the author share advice and insights on where machine learning will be in the next twenty years. In this book, you will learn about: Machine Learning Coding with Python Working with Raspberry Pi Working with TensorFlow Advanced Machine Learning Are you now thinking that there's no scientific or certainty proof that intelligence is ass structured as you hope it to be? As in the evolutionary processes, where order and chaos coexist, you will see a research gap connected to your mind and brain, normally related to concentrating on the model based on the order. Do you really like to learn more about machine learning? Then this book is the perfect solution for you. Well, stress no more! Buy this book and also learn all... and DOWNLOAD IT NOW!
Category:

Infoworld

Author :
ISBN :
Genre :
File Size : 24.33 MB
Format : PDF, Mobi
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InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Category:

The Instructor

Author :
ISBN : UIUC:30112109607413
Genre : Education
File Size : 53.70 MB
Format : PDF
Download : 669
Read : 1300

Category: Education

Video Source Book

Author :
ISBN : 0787689785
Genre : Video recordings
File Size : 53.61 MB
Format : PDF, ePub, Docs
Download : 509
Read : 202

A guide to programs currently available on video in the areas of movies/entertainment, general interest/education, sports/recreation, fine arts, health/science, business/industry, children/juvenile, how-to/instruction.
Category: Video recordings

The Engineer

Author :
ISBN : SRLF:C0000162511
Genre : Engineering
File Size : 80.1 MB
Format : PDF, ePub, Docs
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Read : 1208

Category: Engineering

Comfort

Author :
ISBN : HARVARD:32044092773795
Genre :
File Size : 30.42 MB
Format : PDF
Download : 673
Read : 755

Category: