Building Machine Learning Systems with Python Book
Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation.
Machine Learning in Python Book
Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python.
Learning scikit-learn: Machine Learning in Python Book
Machine learning, the art of creating applications that learn from experience and data, has been around for many years.With Learning scikit-learn: Machine Learning in Python, you will learn to incorporate machine learning in your applications.
Microsoft Vs Google : The Real Fight
Microsoft and Google are the 2 world's Big tech Giants and noticing out every single one of their successes and failures will be too cumbersome
Things to Know In Keras
1) Units: The amount of neurons or cells the layer has inside
Python Machine Learning By Example Book
Master the art of building your own machine learning systems with this example-based practical guide
Machine Learning For Absolute Beginners Book
Machine Learning for Absolute Beginners has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
Top 10 Best Artificial Intelligence Universities
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially by computer systems.
Google Apps which are using Machine Learning
Here, I will show you the different Google Apps which you use daily and they use Machine Learning at their backend to solve the intersting problems in the world.
Pattern Recognition and Machine Learning Book
The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
Logistic Regression In ML
Logistic Regression as a method of classification problem.Logistic regression will allow us to solve Classification Problem where we will be working with Discrete Categories.
Need of Keras Functional API's
The Keras Functional API's are the way to go for defining complex models,such as multi-output model,directed acyclic graph or models with shared layers.