Machine Learning For Dummies

Machine Learning For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119245516
Size: 21.77 MB
Format: PDF
Category : Computers
Languages : en
Pages : 432
View: 1977

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Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Machine Learning For Dummies

Machine Learning For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119724015
Size: 67.33 MB
Format: PDF
Category : Computers
Languages : en
Pages : 464
View: 1217

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Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Deep Learning For Dummies

Deep Learning For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119543045
Size: 34.13 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 368
View: 4920

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Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.

Data Science Programming All In One For Dummies

Data Science Programming All In One For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119626110
Size: 30.11 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 768
View: 5542

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Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Machine Learning For Dummies

Machine learning for dummies PDF
Author: Luca Massaron
Publisher: HOEPLI EDITORE
ISBN: 8820392259
Size: 54.54 MB
Format: PDF, ePub, Mobi
Category : Business & Economics
Languages : it
Pages :
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l machine learning facile! Il machine learning, per quanto possa sembrare un argomento complesso, è un nuovo modo per insegnare al computer a svolgere tutta una serie di compiti utili e importanti. Il rilevamento di frodi, gli annunci in tempo reale su pagine web, l’automazione e il filtraggio dello spam via e-mail e l’utilizzo delle reti neurali per l’elaborazione di immagini, suoni e testi sono solo alcuni esempi. Questa guida aggiornata a Python 3 spiega come iniziare, quali sono e come funzionano gli algoritmi di machine learning, come si utilizzano linguaggi di programmazione quali Python e R, come svolgere compiti pratici utilizzando gli algoritmi più efficaci e molto altro ancora!

Pragmatic Deep Learning For Dummies

Pragmatic Deep Learning for Dummies PDF
Author: Benjamin Young
Publisher:
ISBN: 9781796530865
Size: 32.87 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 404
View: 7069

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Summary This book will help you learn and grasp deep learning technology from ground zero with many interesting real world examples. It could also be used as a quick guide on how to use and understand deep learning in the real life. Description AI especially Deep Learning has made tremendous progress in recent years. It start to spread to all industries. Quote from Andrew Ng, a famous AI researcher: "AI is the new electricity. About 100 years ago, electricity transformed every major industry. AI has advanced to the point where it has the power to transform every major sector in coming years." Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology. This book will help you learn and grasp deep learning technology from ground zero with many interesting real world examples using python/keras. The books could also be used as a quick guide on how to use and understand deep learning in the real life. Readers should have basic knowledge of python, scripting etc. Free lifetime upgrade for later editions ( as an electronic copy ). Please contact author for this. Table of Contents Introduction What is deep learning Deep neural network basic conectps Python and NumPy basic Deep learning development environments MNIST CNN example: A deep dive of how to handle image data Pre-trained model, transfer learning and fine-tuning Recurrent neural network - how to handle sequences data Natural Langauge Processing Optical character recogniztion Audio processing, speech processing Autoencoder network Deep reinforcement learning Learning from scratch (self-play) AlphaZero How to deploy deep learning model.

Deep Introduction To Machine Learning

Deep Introduction to Machine Learning PDF
Author: Aaron Nelson Ph D
Publisher:
ISBN:
Size: 64.27 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 72
View: 5529

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Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition

Python For Data Science For Dummies

Python for Data Science For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119547628
Size: 29.99 MB
Format: PDF
Category : Computers
Languages : en
Pages : 496
View: 7683

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The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Artificial Intelligence For Dummies

Artificial Intelligence For Dummies PDF
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119467659
Size: 65.64 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 336
View: 5686

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Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Artificial Intelligence Networking Learning Ai Explained For Dummies

Artificial Intelligence Networking  Learning AI Explained for Dummies PDF
Author: Laureano Gallardo
Publisher:
ISBN: 9781074028008
Size: 48.81 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 43
View: 6062

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The term Artificial Intelligence represents a set of software, logic, computer and philosophy disciplines that are intended to make PCs perform functions that were thought to be exclusively human, such as perceiving meaning in written language. or spoken, learn, recognize facial expressions, etc. The field of artificial intelligence has a long history behind it, with many previous advances, such as the recognition of optical characters, which are currently considered as something everyday.Artificial intelligence is an attractive concept for many stakeholders in the business, scientific and governmental world. From the economic point of view, it is very attractive that machines can perform tasks for which human intervention was usually required. An effective artificial intelligence solution can "think" faster and process more information than any human brain. Artificial intelligence also has the potential to extend human capabilities to places where people have difficulty reaching, for example, outer space or remote locations on Earth where human skills such as medical knowledge might prove useful.We could define AI as a technological discipline that aims to design and build machines and programs capable of performing complex tasks with expertise equal to or greater than that of a human being. Bearing in mind that those tasks that seem simpler, for example, speaking, seeing, listening, are precisely the most complex tasks to perform.The computer is a powerful tool because of its ability to represent any discrete system of physical symbols. But the ultimate goal is not for this "science" the computer or its programs, but the study of intelligent behavior and, in particular, human behavior.This is the reason why the AI links with so many other sciences. Thus, in the study of human behavior, natural sciences such as neurophysiology and human sciences such as psychology intervene; in the study of learning processes, pedagogy; in other important aspects, such as the recognition of natural language, linguistics; and in the practical realization of the models, the computer science and in all its surroundings.CONTENTS:INTRODUCTION TO AIHISTORICAL EVOLUTION Prehistory of the AI The birth of the AI The difficult years Current developmentPREMISES 1. Just think about big projects 2. Artificial intelligence is only for technological empires 3. Believe that it is a purposeWHAT IS MACHINE LEARNING?WHAT IS DEEP LEARNING?WHO IS DEVELOPING THIS TECHNOLOGY WORLDWIDE?WHY IS IT IMPORTANT FOR GLOBAL DEVELOPMENT?HOW COULD AI AFFECT THE ECONOMY?WHICH SECTORS WORLDWIDE ARE LEADERS IN THE IMPLEMENTATION OF THIS TYPE OF TECHNOLOGY?ADVANTAGES OF ARTIFICIAL INTELLIGENCEDISADVANTAGES OF ARTIFICIAL INTELLIGENCEWHICH COMPANIES ARE LEADERS IN AI?AI AND BIG DATAIS AI DANGEROUS?AI AND MEDICINESUMMARY AI

Tensorflow For Dummies

TensorFlow For Dummies PDF
Author: Matthew Scarpino
Publisher: John Wiley & Sons
ISBN: 1119466210
Size: 61.19 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 360
View: 7353

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Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool! Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.

                                       PDF
Author: ليو تولستوي
Publisher: وكالة الصحافة العربية
ISBN:
Size: 41.10 MB
Format: PDF, Mobi
Category : Fiction
Languages : ar
Pages : 282
View: 7312

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في أثناء الحرب، اعتاد " تولستوي " النظر إلى مشاهد الموت، إلا أن هذا الموت كان ينزل بالآخرين؛ وذلك ما صرف نظره عن التفكير فيه، حتى آل به الأمر إلى عدم إعارته أي اهتمام، أما في هدأة السلم وطمأنينته، فماذا عسى أن يكون موقفه منه ؟ لقد كان "تولستوي" يقول عن نفسه: إنه "معتل الصحة، قوي البنية"، فما سر هذا الإحساس بالضيق الذي كان ينتابه، أو تلك الحمى التي كانت تعتريه؟ وما بعث شعور القلق والخوف الذي كان يستبد به في أمسية كل يوم حين تقترب الساعة السادسة؟. كان "تولستوي" متخوفاً، وكان إحساسه بالخوف يعدل نشوة الحياة التي يكاد يعيش فيها دائماً، فلقد كان هناك على الأخص ذلك المرض الوراثي في أسرته، وسيطر على تفكيره "كابوس السل"؛ إذ أنه رأى اثنين من إخوته يذهبان ضحية هذا الداء العضال.

                          PDF
Author: مارك مانسون
Publisher: Dar Attanweer
ISBN: 6144720197
Size: 74.52 MB
Format: PDF, Mobi
Category : Self-Help
Languages : ar
Pages : 272
View: 7573

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ظل يُقال لنا طيلة عشرات السنوات إن التفكير الإيجابي هو المفتاح إلى حياة سعيدة ثرية. لكن مارك مانسون يشتم تلك "الإيجابية" ويقول: " فلنكن صادقين، السيء سيء وعلينا أن نتعايش مع هذا ". لا يتهرّب مانسون من الحقائق ولا يغلفها بالسكّر، بل يقولها لنا كما هي: جرعة من الحقيقة الفجِّة الصادقة المنعشة هي ما ينقصنا اليوم. هذا الكتاب ترياق للذهنية التي نهدهد أنفسنا بها، ذهنية " فلنعمل على أن يكون لدينا كلنا شعور طيب " التي غزت المجتمع المعاصر فأفسدت جيلًا بأسره صار ينال ميداليات ذهبية لمجرد الحضور إلى المدرسة. ينصحنا مانسون بأن نعرف حدود إمكاناتنا وأن نتقبلها. وأن ندرك مخاوفنا ونواقصنا وما لسنا واثقين منه، وأن نكفّ عن التهرب والفرار من ذلك كله ونبدأ مواجهة الحقائق الموجعة، حتى نصير قادرين على العثور على ما نبحث عنه من جرأة ومثابرة وصدق ومسؤولية وتسامح وحب للمعرفة. لا يستطيع كل شخص أن يكون متميزًا متفوقًا. ففي المجتمع ناجحين وفاشلين؛ وقسم من هذا الواقع ليس عادلًا وليس نتيجة غلطتك أنت. وصحيح أن المال شيء حسن، لكن اهتمامك بما تفعله بحياتك أحسن كثيرًا؛ فالتجربة هي الثروة الحقيقية.

Deep Learning For Beginners With Tensorflow

Deep Learning for Beginners with TensorFlow PDF
Author: Mark Smart
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723338496
Size: 17.68 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages : 64
View: 4429

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This book is an exploration of deep learning in Python using TensorFlow. The author guides you on how to create machine learning models using TensorFlow. You will know the initial steps of getting started with TensorFlow in Python. This involves installing TensorFlow and writing your first code. TensorFlow works using the concept of graphs. The author helps you know how expressions are represented into graphs in TensorFlow. Deep learning in Python with TensorFlow simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into TensorFlow for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models. You will learn from this book: Getting started Building a Neural Network Working with Images Importing Data Subjects include: tensorflow python, deep learning with python, tensorflow machine learning, tensor flow, tensorflow deep learning cookbook, tensorflow for deep learning, tensorflow for dummies, tensorflow books, machine learning with tensorflow, tensorflow c++, concept of graphs, neural network, neural networks python, tensorflow with neural network.