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Python Machine Learning: Learn Python in a Week...
9,95 € *
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Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it?Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. In the detail, you will learn:Why Python is considered the fundamental tool for machine learning12 machine learning models that you must study as a beginnerThe most common mistakes to avoid when you start building machine learning models with PythonThe algorithms that will make your life easier while coding artificial intelligenceA simple method to build the desired machine learning model in less than 7 daysExercises and quizzes at the end of every chapter to review immediately what you’ve learnedThe best way to learn machine learning with Python is by doing and with this manual you will work through applicable projects.... This is what this guide offers to you, even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer.The key to become a Python master is one click away! 1. Language: English. Narrator: Jeff Bower. Audio sample: http://samples.audible.de/bk/acx0/193926/bk_acx0_193926_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.07.2020
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Bold: How to Go Big, Make Bank, and Better the ...
9,95 € *
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Bold is a radical, how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools to create extraordinary wealth while also positively impacting the lives of billions. Exploring the exponential technologies that are disrupting today's Fortune 500 companies and enabling upstart entrepreneurs to go from "I've got an idea" to "I run a billion-dollar company" far faster than ever before, the authors provide exceptional insight into the power of 3-D printing, artificial intelligence, robotics, networks and sensors, and synthetic biology. Drawing on insights from billionaire entrepreneurs Larry Page, Elon Musk, Richard Branson, and Jeff Bezos, the audiobook offers the best practices that allow anyone to leverage today's hyper connected crowd like never before. The authors teach how to design and use incentive competitions, launch million-dollar crowdfunding campaigns to tap into tens of billions of dollars of capital, and build communities - armies of exponentially enabled individuals willing and able to help today's entrepreneurs make their boldest dreams come true. Bold is both a manifesto and a manual. It is today's exponential entrepreneur's go-to resource on the use of emerging technologies, thinking at scale, and the awesome impact of crowd-powered tools. 1. Language: English. Narrator: Steven Kotler. Audio sample: http://samples.audible.de/bk/sans/006963/bk_sans_006963_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.07.2020
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Machine Learning: 2 Book in 1: The Ultimate Gui...
9,95 € *
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Master Python machine learning even if you don’t have a tech background! Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists? Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt. Even Mark Zuckerberg, the CEO of Facebook has spoken positively on this trend. If you haven’t heard about this already, there’s still time! This superior bundle will teach you everything you need to know about this soon-to-become the most profitable area of computer science. Thanks to the Python programming language and deep learning, even those who have never heard of this technology can use it. Here’s what you get with this book: A comprehensive guide on the machine learning and deep learning fieldsA full, step-by-step manual for using PythonSpecific, applicable manuals on machine learning algorithmsInstructions on how to use machine learning to make predictionsA guide on data science, and how to use it to improve your businessAnd so much more! The problem with most IT instruction manuals is the too-technical way in which they’re written. It’s hard for someone who doesn’t come from a tech or computer science background to familiarize themselves with the subject. This bundle is written in plain English, in an educational but understandable way. You’ll have no problem keeping up with the content, even without any programming experience. Scroll up, click, and get your copy now! 1. Language: English. Narrator: J.M. Debord. Audio sample: http://samples.audible.de/bk/acx0/185883/bk_acx0_185883_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.07.2020
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Data Science For Dummies
23,31 € *
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Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there--let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Anbieter: buecher
Stand: 09.07.2020
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Data Science For Dummies
23,31 € *
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Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there--let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Anbieter: buecher
Stand: 09.07.2020
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Python for Data Analysis: A Beginner's Guide to...
9,95 € *
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Without any trace of doubt, machine learning and Python are two of the most exciting and interesting fields of study at the moment.There are a lot of reasons to fear the advent of the artificial intelligence (AI) era as well starting with the fact that it comes with serious ethical implications and ending with the fact that nobody can tell you just how far AI will go and how “sentient” it will become. This audiobook will not aim to be a manual in Python or programming in general but an incursion into the realm of these subjects - a short trip to make you curious about what Python and data analysis are all about, why they are used in association, and even how they are used, at times.I know you will take the information presented here and use it to the best of your abilities, helping yourself create the future you want for your children, nephews, or neighbors. In this book, you will learn:How to improve productivity and efficiency with PythonHow to use Python and how to analyze SEO dataWhat is the importance of data scienceWhy data analysis is so important and what is the OOP modelWhat you need to know about machine learning and coding basicsHow to control the flow of program with loopsAnd much more...If you are ready to embrace Python, even as a complete beginner, you are a daring soul who deserves to be part of the amazing future we’re building in this industry. Hopefully, this audiobook will instill all these sentiments in you, and it will make you ask all the important questions, too. What’s next?Click the "buy now" button to start learning Python.The future is at your fingertips. Use it wisely! 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/172998/bk_acx0_172998_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.07.2020
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Python Machine Learning for Beginners: A Step-b...
9,95 € *
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Today, several commercial apps and research projects make use of machine learning, but this field is not only meant for big companies with extensive research teams, a beginner can get started, too.Machine Learning came into prominence in the 1990's, when researchers and scientists started highlighting it as a sub-field of Artificial Intelligence (AI), detailing how such techniques borrow concepts from AI, probability, and statistics, which perform far better when compared to fixed rule-based models requiring a lot of manual time and effort.Of course, as we have pointed out earlier, Machine Learning didn’t just come out of nowhere in the 1990's. It is a multi-disciplinary field that has gradually evolved over time and is still evolving as we speak.Meanwhile, Python is growing and becoming a dominant platform to use with machine learning. The primary reason for adopting Python is because it is a general purpose programming language which can be used both for R&D and in production.Python Machine Learning for Beginners dives into the basics of machine learning using an approachable, well-known programming language, Python.In this guide, we will review the purpose of Machine Learning and where it applies to the real world and will also cover popular Machine Learning topics, such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.The following are some of the major topics covered in Python Machine Learning for Beginners:Understanding The Basics of Machine LearningMachine Learning as a Multi-Disciplinary FieldThe Different Types of Machine LearningPython Ecosystem for Machine LearningGetting Familiar with Python and SciPyLoading Machine Learning DataUnderstanding Your Data with Descriptive StatisticsUnderstanding Your Data with VisualizationPreparing Your Data for Machine Learningl 1. Language: English. Narrator: Jean-Paul Rennault. Audio sample: http://samples.audible.de/bk/acx0/168247/bk_acx0_168247_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.07.2020
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Introduction to Process Control, Third Edition ...
83,46 € *
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Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today's teaching of process control: Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic back-off as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Analyzes the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Drawing on the authors' combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension. Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher's website. Solutions manual is available for qualifying professors from the publisher.

Anbieter: buecher
Stand: 09.07.2020
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Introduction to Process Control, Third Edition ...
83,46 € *
ggf. zzgl. Versand

Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today's teaching of process control: Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic back-off as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Analyzes the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Drawing on the authors' combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension. Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher's website. Solutions manual is available for qualifying professors from the publisher.

Anbieter: buecher
Stand: 09.07.2020
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