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Algorithms of the Intelligent Web
- Narrated by: Mark Thomas
- Length: 8 hrs and 39 mins
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Publisher's Summary
Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn.
This book guides you through algorithms to capture, store, and structure data streams coming from the web. You'll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning.
Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction.
This audiobook includes:
- An introduction to machine learning
- Extracting structure from data
- Deep learning and neural networks
- How recommendation engines work
Knowledge of Python is assumed for the listener.
Douglas McIlwraith is a machine learning expert and data science practitioner in the field of Online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management.
Table of Contents:
- 1. Building applications for the intelligent web
- 2. Extracting structure from data: clustering and transforming your data
- 3. Recommending relevant content
- 4. Classification: placing things where they belong
- 5. Case study: click prediction for Online advertising
- 6. Deep learning and neural networks
- 7. Making the right choice
- 8. The future of the intelligent web
- Appendix - Capturing data on the web
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms
- Machine Learning: For Beginners, Book 1
- By: Ken Richards
- Narrated by: Jacob Ford
- Length: 1 hr and 41 mins
- Unabridged
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Discover and learn all about machine learning. This audiobook covers the basic and fundamental subjects on machine learning and its application. Are you clueless about machine learning? Have you ever wonder how a machine (Deep Blue) can beat Garry Kasparov, a reigning world champion in chess? Do you know that a handful of Fortune 500 companies are using machine learning in new creative ways?
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The worst kind of too-brief summary
- By BrownInTown on 06-27-18
By: Ken Richards
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Machine Learning 2020
- The Ultimate Guide to Data Science, Artificial Intelligence, and Neural Networks in Modern Business and Marketing applications: The Data Science Guide, Book 1
- By: Bill Hanson
- Narrated by: Kevin Tromp
- Length: 5 hrs and 1 min
- Unabridged
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Do you want to master machine learning? This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction. Each section is chockful of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.
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Terrible narration
- By Alex Larson on 12-17-19
By: Bill Hanson
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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
- By: Herbert Jones
- Narrated by: Sam Slydell
- Length: 5 hrs and 18 mins
- Unabridged
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Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.
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Skip it
- By Amanda on 02-27-19
By: Herbert Jones
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Deep Learning with Python
- By: Francois Chollet
- Narrated by: Mark Thomas
- Length: 9 hrs and 55 mins
- Unabridged
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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Almost Perfect - Better when paired with the book
- By Graham on 10-30-18
By: Francois Chollet
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Python for Data Science
- The Ultimate Guide for Beginners. Machine Learning Tools, Concepts and Introduction. Python Programming Crash Course.
- By: Tony F. Charles
- Narrated by: Russell Newton
- Length: 3 hrs and 1 min
- Unabridged
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Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.
By: Tony F. Charles
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Machine Learning with Python
- Comprehensive Beginners Guide to Machine Learning in Python with Exercises and Case Studies
- By: Paige Jacobs
- Narrated by: Dave Wright
- Length: 3 hrs and 19 mins
- Unabridged
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If you look at it superficially, in respect to machines, it is safe to say that any change in the structure of the machine, the data stored in the memory or its data composition, in order to improve the efficiency and the effectiveness of the machine’s performance is an undeniable sign of learning in a machine. When you start to delve deeper into this subject, only a couple of these changes can be categorized as machine learning.
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Best Narration
- By Anonymous User on 04-06-19
By: Paige Jacobs
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Data Science
- What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
- By: Herbert Jones
- Narrated by: Sam Slydell
- Length: 3 hrs and 13 mins
- Unabridged
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Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.
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Useful One
- By Sierra Brandon on 11-30-18
By: Herbert Jones
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Data Analytics, SQL Server, Neural Networks Deep Learning: 3 Manuscripts in 1 Book
- Advanced Technology Starter Pack
- By: William Sullivan
- Narrated by: Lukas Arnold
- Length: 5 hrs and 31 mins
- Unabridged
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Three manuscripts in one book! You do not want to miss out on this incredible offer. What you'll learn: fundamentals of neural networks; algorithms; transactional control commands; understanding cursors, triggers, and errors; and much, much more.
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Very Helpful
- By Leslie on 03-05-18
By: William Sullivan
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Python Programming
- Learn Python in a Week and Master It. An Hands-On Introduction to Computer Programming and Algorithms, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 1)
- By: Computer Programming Academy
- Narrated by: Jeff Bower
- Length: 5 hrs and 5 mins
- Unabridged
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Have you always wanted to learn computer programming but you are worried it will take too long? Or perhaps you know other programming languages and are interested in learning Python quickly? 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 to apply what you have learned step-by-step.