Machine Learning: A Gentle Introduction to the Field - Concepts, ALGORITHMS and Real-World Applications

How does Facebook make money if its FREE for everyone?

Heres the disturbing reality: Facebook stores and records everything you do and uses this information to sell you products. Whenever you like a page, open a browser, send a message or add a friend, Facebook stores information about you. If you read the Terms and Conditions form on Facebook you will discover that you authorize full access to all your browser history. If you access your profile on your phone, Facebook can access your GPS to track your locations and all your movements.
All this information Facebook stores about you is then studied with extremely complex and sophisticated Machine Learning algorithms. These learn about you and your interests, your habits and your patterns. Using this knowledge, Facebook will advertise you products and services that match your unique interests. It knows what you want and it tries to sell it to you, constantly. By selling these uniquely targeted ad spaces Facebook makes money, a lot of it.


Machine Learning is the Answer!

In this book I will teach you about this new and revolutionary approach to computer programming known as Machine Learning. In the first part of the book we will develop an appreciation for the importance and relevance of the field in todays society. We will seek to answer fundamental questions such as


Where is machine learning being used today?
How does Machine Learning impact my life?
How will machine Learning Shape my Future?

In the second part of the book we will dive into the technical details of machine learning. We will explore the different families of algorithms, the mathematics behind them and how they can be used to solve real problems. The algorithms we will cover are

Decision Tree Algorithms
Instance Based Algorithms eg. K-Nearest Neighbour
Regression Algorithms eg. Logistic Regression
Bayesian Algorithms eg. Nave Bayes

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Machine Learning: A Gentle Introduction to the Field - Concepts, ALGORITHMS and Real-World Applications
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Machine Learning: A Gentle Introduction to the Field - Concepts, ALGORITHMS and Real-World Applications
3 years ago

https://www.amazon.co.uk/Machine-Learning-Introduction-ALGORITHMS-Applications-ebook/dp/B0753HK2WY?SubscriptionId=AKIAJOF43QDA3QLOVLJQ&tag=wwwcamratecom-21&linkCode=xm2&camp=2025&creative=165953&creativeASIN=B0753HK2WY How does Facebook make money if its FREE for everyone?

Heres the disturbing reality: Facebook stores and records everything you do and uses this information to sell you products. Whenever you like a page, open a browser, send a message or add a friend, Facebook stores information about you. If you read the Terms and Conditions form on Facebook you will discover that you authorize full access to all your browser history. If you access your profile on your phone, Facebook can access your GPS to track your locations and all your movements.
All this information Facebook stores about you is then studied with extremely complex and sophisticated Machine Learning algorithms. These learn about you and your interests, your habits and your patterns. Using this knowledge, Facebook will advertise you products and services that match your unique interests. It knows what you want and it tries to sell it to you, constantly. By selling these uniquely targeted ad spaces Facebook makes money, a lot of it.


Machine Learning is the Answer!

In this book I will teach you about this new and revolutionary approach to computer programming known as Machine Learning. In the first part of the book we will develop an appreciation for the importance and relevance of the field in todays society. We will seek to answer fundamental questions such as


Where is machine learning being used today?
How does Machine Learning impact my life?
How will machine Learning Shape my Future?

In the second part of the book we will dive into the technical details of machine learning. We will explore the different families of algorithms, the mathematics behind them and how they can be used to solve real problems. The algorithms we will cover are

Decision Tree Algorithms
Instance Based Algorithms eg. K-Nearest Neighbour
Regression Algorithms eg. Logistic Regression
Bayesian Algorithms eg. Nave Bayes

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