Python Machine Learning Illustrated Guide For Beginners Intermediates

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Python Machine Learning Illustrated Guide For Beginners Intermediates

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Author : William Sullivan
language : en
Publisher: PublishDrive
Release Date : 2019-08-20

Python Machine Learning Illustrated Guide For Beginners Intermediates written by William Sullivan and has been published by PublishDrive this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Computers categories.

Python Machine Learning Illustrated Guide For Beginners & Intermediates Machines Can Learn ?! Automation and systematization is taking over the world. Slowly but surely we continuously see the rapid expansion of artificial intelligence, self-check out cash registers, automated phone lines, people-less car-washes , etc. The world is changing, find out how python programming ties into machine learning so you don't miss out on this next big trend! This is your beginner's step by step guide with illustrated pictures! Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives billions worldwide! Drastically changing the world we live in the most fundamental ways, from our perceptions, life-style, thinking and in other aspects as well. What You Will Learn Linear & Polynomial Regression Support Vector Machines Decision Trees Random Forest KNN Algorithm Naive Bayes Algorithm Unsupervised Learning Clustering Cross Validation Grid Search And, much, much more! If you want to learn more about python machine learning it is highly recommended you start from the ground up by using this book. Normally books on this subject matter are expensive! Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python machine learning step by step Why choose this book? Addresses Fundamental Concepts Goes Straight To The Point, uNo fluff or Nonsense Practical Examples High Quality Diagrams "Noob friendly" (Good For Beginners & Intermediates) Contains Various Aspects of Machine Learning Endorses Learn "By Doing Approach" Concise And To The Point I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python machine learning at a fundamental level. What are you waiting for? Make the greatest investment in YOUR knowledge base right now. Buy your copy now!

Python Programming And Machine Learning With Python

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Author : William Sullivan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-08-16

Python Programming And Machine Learning With Python written by William Sullivan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-16 with categories.

Best Starter Pack Illustrated Guide For Beginners & Intermediates : The Future Is Here! 2 Manuscripts in 1 Book Python Programming & Machine Learning With Python: 2 Manuscripts in 1 Book Best Starter Pack Illustrated Guide For Beginners & Intermediates : The Future Is Here! If your new to computer programming or want to brush up this ultimate guide that combines aspects of machine learning and python programming for beginners & intermediates is just for you! What You'll Learn... Python Running Your First Program Identifiers Variables Data Types Codes Linear & Polynomial Regression Support Vector Machines Decision Trees Random Forest KNN Algorithm Naive Bayes Algorithm Unsupervised Learning Clustering Cross Validation Grid Search And, much, much more! You get so much value in one bundle packed book! Make the greatest investment in yourself by investing in your knowledge. Buy Your Copy Now!

Deep Learning With Python Illustrated Guide For Beginners Intermediates

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Author : William Sullivan
language : en
Publisher: PublishDrive
Release Date : 2018-10-24

Deep Learning With Python Illustrated Guide For Beginners Intermediates written by William Sullivan and has been published by PublishDrive this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Computers categories.

Deep Learning With Python Illustrated Guide For Beginners And Intermediates "Learn By Doing Approach" Includes Keras with Tensorflow Backend Deep learning originates from a broader family of machine learning, including supervised and unsupervised learning The python programming language is one of the most popular languages for programmers in the 21st century. This programming language has been a fundamental cornerstone in a lot of technology we use today. -Things we take for granted on a daily basis. Developing both desktop and web applications, and more interestingly enough has been used to accomplish many artificial intelligence feats. The world is constantly changing and evolving and it appears machine learning could be the way of the future! As we speak technology on a massive scale is being developed to replace mundane and repetitive tasks humans interface with everyday through the use of "deep learning". Ultimately, this means less human errors and a more efficient ways of operating for many corporations. You can potentially become the next big start-up! Develop software, web development tools and many more online ventures! Companies That Use Python Currently Google Facebook Dropbox Yahoo IBM Mozilla Quora Why Programmers Choose To Use Python? Readable & Maintainable Code Dynamic Type System Compatible with Major Platforms and Systems Robust Standard Library Simplifies Complex Software Development Test Driven Development Highly Sought After Skill-Set For Employers Invest in your knowledge base by buying your copy right now. The greatest investment you can make is an investment in yourself! Python will pave the road of technological advancements and very much so shape the world we live in. Become apart of this global progression towards advanced technology through the use of "deep learning". What You'll Learn What is deep learning Theory of Artificial Neural Network Artificial Neural Network with Keras Image Classification with Convolutional Neural Network Environment Setup Natural Language Processing Evaluating and Tuning the ANN Sequence Modeling And, much, much more! By the end of this book you will have grasped the fundamentals of python programming & deep learning! There is also illustrations to go along to help you understand and retain the info on a much more profound level. Picture diagrams have scientifically proven to accelerate the learning process by over 120%! Buy Your Copy Right Now!

Python Machine Learning

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Author : Ryan Turner
language : en
Publisher: Publishing Factory
Release Date : 2020-04-18

Python Machine Learning written by Ryan Turner and has been published by Publishing Factory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-18 with Computers categories.

Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems! As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: 3 books in 1 - The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: Book 1 • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… Book 2 • The principles surrounding Python • Different types of networks so you can choose what works best for you • Features of the system • Real world feature engineering • Understanding the techniques of semi-supervised learning • And more… Book 3 • How advanced tensorflow can be used • Neural network models and how to get the most from them • Machine learning with Generative Adversarial Networks • Translating images with cross domain GANs • TF clusters and how to use them • How to debug TF models • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies.

Predictive Hr Analytics

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Author : Dr Martin R. Edwards
language : en
Publisher: Kogan Page Publishers
Release Date : 2024-06-03

Predictive Hr Analytics written by Dr Martin R. Edwards and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Business & Economics categories.

This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data. The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques. Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.

Artificial Intelligence And Soft Computing

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Author : Leszek Rutkowski
language : en
Publisher: Springer Nature
Release Date : 2023-09-13

Artificial Intelligence And Soft Computing written by Leszek Rutkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Computers categories.

The two-volume set LNAI 14125 and 14126 constitutes the refereed conference proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18–22, 2023. The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions. The papers are organized in the following topical sections: Part I: Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation. Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification.

Predictive Hr Analytics

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Author : Dr Martin R. Edwards
language : en
Publisher: Kogan Page Publishers
Release Date : 2019-03-03

Predictive Hr Analytics written by Dr Martin R. Edwards and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-03 with Business & Economics categories.

HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Using R In Hr Analytics

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Author : Dr Martin R. Edwards
language : en
Publisher: Kogan Page Publishers
Release Date : 2024-10-03

Using R In Hr Analytics written by Dr Martin R. Edwards and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Business & Economics categories.

Confidently analyse your organization's HR data using R and R Studio to gain insights that improve people strategy and business decision-making. Effective use of HR data has the power to transform a business. However, this is only possible if HR practitioners have the knowledge, skills and confidence to analyse the data and to draw evidence-based insights from it. This book is the practical guide that HR professionals need. Through worked examples, this book shows readers how to carry out and interpret analyses of HR data in areas such as recruitment, performance, employee engagement and diversity. People professionals are then shown how to use the results to develop robust people strategies and to support more effective evidence-based decision-making. Using R in HR Analytics provides a thorough grounding in the differences between descriptive reporting and predictive analytics as well as the methods and measures used to identify the validity of results. There is also expert guidance on the role of artificial intelligence, machine learning and large language modelling on HR analytics. Written for HR professionals at any level, there is essential coverage of data privacy and the ethical considerations of using people data. Online resources include sample datasets to allow readers to practice analysing HR data.

Deep Learning With Python Illustrated Guide For Beginners And Intermediates

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Author : William Sullivan
language : en
Publisher:
Release Date : 2018-11-06

Deep Learning With Python Illustrated Guide For Beginners And Intermediates written by William Sullivan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-06 with Artificial intelligence categories.

Providing a foundation in deep learning, this book is aimed at beginners and intermediate deep learning experts, and covers important concepts and problems in the field. Each chapter begins with theory and follows with a practical implementation in Python. It covers a variety of problems, such as digital recognition, image reclassification, stock market prediction, and NLP problems such as text classification and sentimental analysis. Datasets are provided for each problem so that readers can solve using different algorithms, such as with convolutional neural networks, or with recurrent neural networks.

Pembelajaran Mesin Dan Kecerdasan Buatan

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Author : Siti Maesaroh
language : id
Publisher: Sada Kurnia Pustaka
Release Date : 2024-10-08

Pembelajaran Mesin Dan Kecerdasan Buatan written by Siti Maesaroh and has been published by Sada Kurnia Pustaka this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.

Pembelajaran mesin merupakan jalur menuju kecerdasan buatan. Subkategori AI ini menggunakan algoritma untuk mempelajari wawasan dan mengenali pola dari data secara otomatis, serta menerapkan pembelajaran tersebut untuk membuat keputusan yang semakin baik. Dengan mempelajari dan bereksperimen dengan pembelajaran mesin, programmer menguji batas seberapa besar mereka dapat meningkatkan persepsi, kognisi, dan tindakan sistem komputer. Kecerdasan Buatan adalah bidang pengembangan komputer dan robot yang mampu berperilaku dengan cara yang meniru dan melampaui kemampuan manusia. Program yang didukung AI dapat menganalisis dan mengontekstualisasikan data untuk memberikan informasi atau secara otomatis memicu tindakan tanpa campur tangan manusia. Pada buku ini penulis membahas berbagai macam teori dan aplikasi praktis terkait pembelajaran mesin dan kecerdasan buatan yang tersusun dalam 16 (enam belas) bab, sebagai berikut: (1) Sejarah dan Perkembangan Pembelajaran Mesin, (2) Teori Pembelajaran Mesin, (3) Metodologi dan Algoritma Pembelajaran Mesin, (4) Jaringan Syaraf Tiruan dan Pembelajaran Mendalam, (5) Pemrosesan Bahasa Alami (Natural Language Processing), (6) Pengolahan Citra dan Visi Komputer, (7) Pemodelan dan Evaluasi Pembelajaran Mesin, (8) Pengoptimalan Model Pembelajaran Mesin, (9) Data dan Pra-pemrosesan dalam Pembelajaran Mesin, (10) Aplikasi Pembelajaran Mesin dalam Kesehatan, (11) Aplikasi Pembelajaran Mesin dalam Keuangan, (12) Aplikasi Pembelajaran Mesin dalam Industri dan Manufaktur, (13) Aplikasi Pembelajaran Mesin dalam Pemasaran dan Penjualan, (14) Regulasi dan Kebijakan Pembelajaran Mesin, (15) Keamanan dan Pembelajaran Mesin, (16) Peluang dan Tantangan Pembelajaran Mesin.