Machine Learning
A Beginners Guide to History, Development and Future Possibilities of Machine Learning
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Narrated by:
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William Bahl
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By:
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William Bahl
About this listen
This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them.
Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. The purpose of this book is to show you that anyone can learn to become a machine learner and put the theory into practice.
This book provides you with all the information you need to understand machine learning at a beginner level. You will get an idea on the different subjects that are linked to machine learning and some facts about machine learning that make it an interesting subject to learn. Without further ado let’s get started.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 William Bahl (P)2019 William BahlListeners also enjoyed...
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- By Dan Collins on 08-11-17
By: Erik Brynjolfsson, and others
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Power and Prediction
- The Disruptive Economics of Artificial Intelligence
- By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrated by: Tom Beyer
- Length: 10 hrs and 7 mins
- Unabridged
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In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.
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Inspire system thinking with informative examples
- By Lucy A. Pithecus on 11-16-22
By: Ajay Agrawal, and others
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Superintelligence
- Paths, Dangers, Strategies
- By: Nick Bostrom
- Narrated by: Napoleon Ryan
- Length: 14 hrs and 17 mins
- Unabridged
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Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.
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Colossus: The Forbin Project is coming
- By Gary on 09-12-14
By: Nick Bostrom
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YouTube Secrets
- The Ultimate Guide to Growing Your Following and Making Money as a Video Influencer
- By: Sean Cannell, Benji Travis
- Narrated by: Sean Cannell, Benji Travis
- Length: 5 hrs and 29 mins
- Unabridged
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YouTube sensations and best-selling authors Sean Cannell and Benji Travis take your YouTube channel from slow and dormant to accelerated and engaged, using premium and updated YouTube growth tips for creators, business owners, digital entrepreneurs, and influencers. This is the ultimate game plan to grow a following and make money with the power of video.
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Don't use a credit on this. Moderately passable
- By Scott on 08-04-19
By: Sean Cannell, and others
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Doom Guy
- Life in First Person
- By: John Romero
- Narrated by: John Romero
- Length: 17 hrs and 4 mins
- Unabridged
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Doom Guy: Life in First Person is the long-awaited autobiography of gaming’s original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game history. Credited with the invention of the first-person shooter, a genre that continues to dominate the market today, he is gaming royalty. Told in remarkable detail, a byproduct of his hyperthymesia, Romero recounts his storied career.
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Intimate stories of gaming history in First Person
- By Emyli on 07-28-23
By: John Romero
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Slenderman
- Online Obsession, Mental Illness, and the Violent Crime of Two Midwestern Girls
- By: Kathleen Hale
- Narrated by: Therese Plummer
- Length: 9 hrs and 31 mins
- Unabridged
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On May 31, 2014, in the Milwaukee suburb of Waukesha, Wisconsin, two 12-year-old girls attempted to stab their classmate to death. Morgan Geyser and Anissa Weier’s violence was extreme, but what seemed even more frightening was that they committed their crime under the influence of a figure born by the internet: the so-called “Slenderman”. Yet the even more urgent aspect of the story, that the children involved suffered from undiagnosed mental illnesses, often went overlooked in coverage of the case.
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Excellent narration
- By Pink Amy on 08-21-22
By: Kathleen Hale
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The Grid
- The Fraying Wires Between Americans and Our Energy Future
- By: Gretchen Bakke
- Narrated by: Emily Caudwell
- Length: 11 hrs and 8 mins
- Unabridged
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The grid is an accident of history and of culture, in no way intrinsic to how we produce, deliver and consume electrical power. Yet this is the system the United States ended up with, a jerry-built structure now so rickety and near collapse that a strong wind or a hot day can bring it to a grinding halt. The grid is now under threat from a new source: renewable and variable energy, which puts stress on its logics as much as its components.
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A disappointment
- By Ronald on 09-24-16
By: Gretchen Bakke
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Surveillance Valley
- The Secret Military History of the Internet
- By: Yasha Levine
- Narrated by: LJ Ganser
- Length: 10 hrs and 42 mins
- Unabridged
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In this fascinating book, investigative reporter Yasha Levine uncovers the secret origins of the Internet, tracing it back to a Pentagon counterinsurgency surveillance project. With deep research, skilled storytelling, and provocative arguments, Surveillance Valley will change the way you think about the news - and the device on which you read it.
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Profound look at the internet and surveillance
- By stuartjash on 04-06-18
By: Yasha Levine
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Hackers: Heroes of the Computer Revolution
- 25th Anniversary Edition
- By: Steven Levy
- Narrated by: Mike Chamberlain
- Length: 20 hrs and 23 mins
- Unabridged
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Steven Levy's classic book traces the exploits of the computer revolution's original hackers - those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers.
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Remember Why You Got Into Computing
- By Dan Collins on 07-01-16
By: Steven Levy
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The Complete Software Developer's Career Guide
- How to Learn Programming Languages Quickly, Ace Your Programming Interview, and Land Your Software Developer Dream Job
- By: John Sonmez
- Narrated by: John Sonmez
- Length: 20 hrs and 4 mins
- Unabridged
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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The Complete Bro-grammer's Career Guide
- By Leels on 09-18-19
By: John Sonmez
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Super Pumped
- The Battle for Uber
- By: Mike Isaac
- Narrated by: Holter Graham, Mike Isaac
- Length: 12 hrs and 52 mins
- Unabridged
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A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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A forced narrative and a bad version of Bad Blood
- By Benji on 09-09-19
By: Mike Isaac
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Prediction Machines
- The Simple Economics of Artificial Intelligence
- By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrated by: LJ Ganser
- Length: 7 hrs and 50 mins
- Unabridged
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
- By William J Brown on 09-27-18
By: Ajay Agrawal, and others
What listeners say about Machine Learning
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Jerick D.
- 10-28-19
This is a very informative audio book
This is a very informative audio book. I am completely listening this audio book it's helpful for developing my skill. This audio book Machine Learning that guide all beginners to history, development and future possibilities of machine learning is very helpful for understanding. I am happy to get this audiobook. Thanks to the great author!
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22 people found this helpful
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- Goldsmith
- 06-29-20
Good price at only $6.95
Businesses need to make sure that they are using the right kind of terminology to ensure that they are getting the most out of this process. You can call these things deep learning, computer vision, or machine learning; but do not call it AI. All of these do sometimes find themselves under the umbrella of artificial intelligence as a term, but they are different.
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- John Sy
- 10-28-19
Easy to understand for a self-motivated learners
A must for those who want to learn the practical application of machine learning in predictive data analytics! I recommend this book to anyone who is trying to understand the theoretical details of classical machine learning. I strongly urge the authors to do so in the next edition. A lot in the area is learned by doing, by using good software development practices. It is very easy to understand for a self-motivated learner.
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11 people found this helpful
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- Samantha Brown
- 06-28-20
Machine learning, code, examples
A lot of people without experience in machine learning make the mistake of thinking that an unsupervised algorithm doesn’t require training, but this is not the case. An unsupervised algorithm still has to be given training data before you can start using it for modeling. The difference is that the training data given to unsupervised algorithms is not labeled. The goal of an unsupervised algorithm is not necessary to make direct predictions about the likelihood or causes of specific factors, but rather a more exploratory process. They are best used to find the structure within a large quantity of unlabeled data or to discover connections between factors that were previously unknown. Unsupervised algorithms are trained using unlabeled data. The program is given the inputs and told to analyze them, but doesn’t know the correct outputs that correspond to them. Rather than looking for the right answer, it learns to look for potential solutions within the data itself. There are several methods that one can choose from to be able to handle any kind of data missing. There have been researches that have identified the advantages and disadvantages of this technique. Let's look at the instant selection. It is used to cope with learning infeasibility from large data sets. An optimization problem that is instance selection tries to mine quality as it minimizes the size of another sample. Data is reduced, and data mines are maintained through an algorithm to work efficiently when exposed to big data sets.
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10 people found this helpful
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- Ida
- 06-30-20
Best Machine Learning book I own
Data engineers prepare the entire infrastructure for machine learning. The infrastructure can range from designing, developing and managing the entire entire data pipeline. Data engineers can also help to set up reporting tools for a refined analysis process. Most of the analysis that can be done on top of the architecture include the Hadoop, Pig, MapReduce, Hive, and Redshift. Data engineers can also be viewed as regular software engineers with a background knowledge in machine learning.
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- Mariane DC.
- 10-28-19
An excellent book!
An excellent book! The book is quite fit for beginners in machine learning. I am an experienced professional but a novice in ML. I knew next to nothing about machine learning and artificial intelligence. I found this very informative and I will definitely listen to it a few more times
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12 people found this helpful
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- Irma
- 06-30-20
I totally recommend
Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. This course will help me understand machine hence improve my work on a daily basis.
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- Margaret Konopka
- 06-30-20
THE zero to hero Machine Learning book.
Bahl is a great instructor. He brings his passion to the course and his helpful examples and explanations are invaluable to students of the course. I would highly recommend this course on Machine Learning for Data Science.
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- Charles
- 07-01-20
This Book is the Real Deal
Cloud computing is the cure to this ailment; you no longer have to risk running into such situations due to its ability to automatically scale the storage amount you need. This is where the idea of load balancing comes in. There’s no need to pay for a large amount of storage that will sit unused throughout the year except during particular events. With load balancing, the cloud storage system will distribute storage space as needed, and the process is done nearly instantly. When the system detects that you are closing in on the storage threshold, it will automatically increase the amount of storage you need. Once the need for storage decreases, the system scales it down. Because of this factor, storage is becoming more affordable. One of the biggest issues with big data is that it requires equally big storage.
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- Felix
- 06-28-20
A Must-have for the Machine Learning Practitioner
The data scientist needs to feed the training data, including the inputs, outputs, and labels. Once the learning phase is complete and we have our predictions, the algorithm can be reused on another similar dataset. Basically, supervised machine learning systems learn the same way as the student who goes through various exercises and comes up with his own ideas and conclusions that can be reapplied to other exercises.
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