Machine Learning Audiobook Free Download

7 Best Machine Learning Audiobooks You Should Read 2020

1. Superintelligence
Paths, Dangers, Strategies (Audible Version)

Book Cover of Nick Bostrom - Superintelligence: Paths, Dangers, Strategies

A New York Times bestseller
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.
As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence.
But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation?
This profoundly ambitious and original book breaks down a vast track of difficult intellectual terrain. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom’s work nothing less than a reconceptualization of the essential task of our time.
2. The Invisible Brand
Marketing in the Age of Automation, Big Data, and Machine Learning (Audiobook)
Book Cover of William Ammerman - The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
Marketers are harnessing the enormous power of AI to drive unprecedented results
The world of marketing is undergoing major change. Sophisticated algorithms can test billions of marketing messages and measure results, and shift the weight of campaigns―all in real time. What’s next? A complete transformation of marketing as we know it, where machines themselves design and implement customized advertising tactics at virtually every point of digital contact
The Invisible Brand provides an in-depth exploration of the risks and rewards of this epochal shift―while delivering the information and insight you need to stay ahead of the game
Renowned technologist William Ammerman draws from his decades of experience at the forefront of digital marketing to provide a roadmap to our data-driven future. You’ll learn how data and AI will forge a new level of persuasiveness and influence for reshaping consumers’ buying decisions. You’ll understand the technology behind these changes and see how it is already at work in digital assistants, recommendation engines and digital advertising. And you’ll find unmatched insight into how to harness the power of artificial intelligence for maximum results
As we enter the age of mass customization of messaging, power and influence will go to those who know the consumer best. Whether you are a marketing executive or concerned citizen, The Invisible Brand provides everything you need to understand how brands are harnessing the extraordinary amounts of data at their disposal―and capitalizing on it with AI
3. Python Programming
4 Manuscripts – Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python (Audible Version)
Book Cover of Anthony Williams - Python Programming: 4 Manuscripts – Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python
Python Programming – 4 BOOK BUNDLE!!
Book 1: Artificial Intelligence with Python
What you will learn in this book:
Different artificial intelligence approaches and goals
How to define AI system
Basic AI techniques
Reinforcement learning
How to build a recommender system
Genetic and logic programming
And much, much more..
Book 2: Reinforcement Learning with Python
What you will learn by reading this book:
Types of fundamental machine learning algorithms in comparison to reinforcement learning
Essentials of reinforcement learning process
Marko decision processes and basic parameters
How to integrate reinforcement learning algorithm using OpenAI Gym
How to integrate Monte Carlo methods for prediction
Monte Carlo tree search
Dynamic programming in Python for policy evaluation, policy iteration and value iteration
Temporal difference learning or TD
And much, much more..
Book 3: Reinforcement Learning with Python
What you will learn by reading this book:
Types of fundamental machine learning algorithms in comparison to reinforcement learning
Essentials of reinforcement learning process
Marko decision processes and basic parameters
How to integrate reinforcement learning algorithm using OpenAI Gym
How to integrate Monte Carlo methods for prediction
Monte Carlo tree search
Dynamic programming in Python for policy evaluation, policy iteration and value iteration
Temporal difference learning or TD
And much, much more..
Book 4: Text Analytics with Python
What you will learn by reading this book:
Text analytics process
How to build a corpus and analyze sentiment
Named entity extraction with Groningen meaning bank corpus
How to train your system
Getting started with NLTK
How to search syntax and tokenize sentences
Automatic text summarization
Stemming word and topic modeling with NLTK
Using scikit-learn for text classification
Part of speech tagging and POS tagging models in NLTK
And much, much more..
Get this book bundle NOW and SAVE money!
4. Neural Networks and Deep Learning
Deep Learning explained to your granny – A visual introduction for beginners who want to make their own Deep Learning Neural Network (Audible Version)

Book Cover of Pat Nakamoto - Neural Networks and Deep Learning: Deep Learning explained to your granny – A visual introduction for beginners who want to make their own Deep Learning Neural Network (Machine Learning)

Ready to crank up a neural network to get your self-driving car pick up the kids from school? Want to add ‘Deep Learning’ to your LinkedIn profile? Well, hold on there… Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of Neural Networks and Deep Learning, made so simple that…even your granny could understand it!
What you will gain from this book: * A deep understanding of how a Neural Network and Deep Learning work * A basics comprehension on how to build a Deep Neural Network from scratch Who this book is for: * Beginners who want to approach the topic, but are too afraid of complex math to start! What’s Inside? * A brief introduction to Machine Learning * Two main Types of Machine Learning Algorithms * A practical example of Unsupervised Learning * What are Neural Networks? * McCulloch-Pitts’s Neuron * Types of activation function * Types of network architectures * Learning processes * Advantages and disadvantages * Let us give a memory to our Neural Network * The example of book writing Software * Deep learning: the ability of learning to learn * How does Deep Learning work? * Main architectures and algorithms * Main types of DNN * Available Frameworks and libraries * Convolutional Neural Networks * Tunnel Vision * Convolution * The right Architecture for a Neural Network * Test your Neural Network Now!
5. Machine Learning
For Beginners – Your Starter Guide For Data Management, Model Training, Neural Networks, Machine Learning Algorithms (Audible Version)

Book Cover of Ken Richards - Machine Learning: For Beginners - Your Starter Guide For Data Management, Model Training, Neural Networks, Machine Learning Algorithms (Volume 1)

“I’ll bet the rest of my professional career that the future of your business is big data and machine learning applied to the business opportunities, customer challenges, and things before you.” – Eric Schmidt
“Artificial Intelligence, deep learning, machine learning – whatever you’re doing if you don’t understand it – learn it. Because otherwise you’re going to be a dinosaur within 3 years.” – Mark Cuban
Discover and learn all about the machine learning. This book cover the basic and fundamental subjects on machine learning and its application.
Are you clueless about what is machine learning about?
Have you ever wonder how can a machine, Deep Blue beats Garry Kasparov, a reigning world champion in chess?
Do you know that a handful of the Fortune 500 companies are using machine learning in new creative ways?
People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world. – Pedro Domingos
Machine learning has been around for more than a decade and yet its usage is still at its infancy and innovating in an interesting way.
Companies are investing heavily in machine learning and are reaping generous rewards. Some of their products have become an essential part of our daily activities such as the navigation system in our vehicles.
“But much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type – quietly but meaningfully improving core operations.” – Jeff Bezos
In this book, you will understand and learn about the basic of machine learning and its applications, which is the fundamental block of Artificial Intelligence.
In this book, Machine Learning For Beginners – Your Starter Guide For Data Management, Model Training, Neural Networks, Machine Learning Algorithms Learn about the three types of machine learning
Learn about the machine learning algorithms such as KNN
Discover the machine learning tools that you could use
Learn about data acquisition and data management
Learn about model training, validation and application
Learn about how neural networks work and usage
And many more.
Final Words:
Perhaps, even if you feel that you may know some of the subjects discussed here, be open and this book a chance. You may find a new perspective, learn something new and pick up some valuable tools that drop off your radar. It’s written in an informative way for easy reading.
“The best investment you can make is in yourself” – Warren Buffett
Find out more.. Take Action Now
Don’t procrastinate. Scroll up and pick up your copy today by clicking the yellow button .
6. Machine Learning
New and Collected Stories (Audiobook)

Book Cover of Hugh Howey - Machine Learning: New and Collected Stories

A new collection of stories, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy
Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning millions of fans worldwide, first with his best-selling novel Wool, and then with other enthralling works such as Sand and Beacon 23.
Now comes Machine Learning, an impressive collection of Howey’s science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and fifteen additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author’s note exploring the background and genesis of each story.
Howey’s incisive mind makes Machine Learning: New and Collected Stories a compulsively readable and thought-provoking selection of short works—from a modern master at the top of his game.
7. Machine learning for Beginners
The Definitive Guide to Neural Networks, Random Forests, and Decision Trees (Audible Version)

Book Cover of Jennifer Grange - Machine learning for Beginners: The Definitive Guide to Neural Networks, Random Forests, and Decision Trees

There is a growing number of people who are seeking to understand neural networks and what powers them up. And if you are of these people, then this book is for you! This book discusses the algorithmic functions, methods, and code that make Neural Networks work well. You are going to follow codes that are being used to create algorithmic functions that are best used in random forests. Furthermore, you are going to see how neural networks make decisions using decision trees. This is to present algorithms in ways that will make you start out your journey in this field. What are you waiting for? Grab your copy now!

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