Additional information
by Ken Richards (Author)
"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 "Machine learning is about taking the data that anyone might have - whether it's a sports franchise or an industrial manufacturer - and using algorithms to actually reason over the data and to predict outcomes that a businessperson can use to make better decisions." - Christopher Matthews
Discover and learn all about the machine learning in this book. You will appreciate and learn more about advanced machine learning algorithms that are not presented in earlier books.
Do you know that you are highly likely part of testing datasets for companies in their machine learning model training, applications and mobile apps?
Don't you want to learn more about the framework that institutions and companies are using for machine learning?
The reality is very real. Data collections are everywhere in everything that we do and these behaviors that we exhibit and share willingly with application owners will be used to improve our user experience and improve our daily life such as the usage of Siri, Alexa, Cortana, Google Assistant and many other applications.
"I think it's very important to have a feedback loop, where you're constantly thinking about what you've done and how you could be doing it better. I think that's the single best piece of advice: Constantly think about how you could be doing things better and questioning yourself." - Elon Musk
Aren't our data collected the feedback loop for companies to improve their products and offerings?
"Over the past decades computers have broadly automated tasks that programmers could describe with clear rules and algorithms. Modern machine learning techniques now allow us to do the same for tasks where describing the precise rules is much harder." - Jeff Bezos
In this book, Machine Learning For Beginners: Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naïves Bayes Classifier
- Explore and learn Markov models and its applications in machine learning
- Learn about reinforced learning algorithms
- Explore and understand what is structured prediction
- Learn how to use Naïves Bayes classifier to do machine learning tasks.
- Learn more about Support Vector Machine (SVM) and why it is so popular in Machine Learning.
- Learn about Random Trees and its applications
- Learn what is recommender systems
- 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.
"Invest in as much of yourself as you can, you are your own biggest asset by far" - Warren Buffett
Find out more.. Take Action Now
Don't procrastinate. Scroll up and pick up your copy today by clicking the yellow button .
