Working with Data and AI Bundle
Data Science Algorithms in a Week
Build strong foundation of machine learning algorithms In 7 days.
- Get to know seven algorithms for your data science needs in this concise, insightful guide
- Ensure you're confident in the basics by learning when and where to use various data science algorithms
- Learn to use machine learning algorithms in a period of just 7 days
Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly. Data science helps you gain new knowledge from existing data through algorithmic and statistical analysis.
This book will address the problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on the existing trends in your datasets.
This book covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-series. On completion of the book, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem.
What you will learn
- Find out how to classify using Naive Bayes, Decision Trees, and Random Forest to achieve accuracy to solve complex problems
- Identify a data science problem correctly and devise an appropriate prediction solution using Regression and Time-series
- See how to cluster data using the k-Means algorithm
- Get to know how to implement the algorithms efficiently in the Python and R languages
Who this book is for
This book is for aspiring data science professionals who are familiar with Python and have a statistics background. It is ideal for developers who are currently implementing one or two data science algorithms and want to learn more to expand their skill set.
About this Bundle
Be in the know-how when it comes to core machine learning and deep learning algorithms with the brand-new Working with Data and AI Bundle.
In this intuitive collection of 20 eBooks, featuring 18 new-to-bundle titles, you’ll gain the skills and knowledge to create powerful, accurate and real-time Computer Vision applications, as well as learn about the new features that help unlock the full potential of OpenCV 4 and much more!
Choose Tier One of the Working with Data and AI Bundle and you’ll get five eBooks focusing on topical areas such as using natural language processing with Python, learning the fundamentals of Deep Learning and neural network methodologies using Keras 2.x, and much more.
With Machine Learning for OpenCV 4, you’ll gain the skills to implement high-performance machine learning models through helpful tips and best practices, as well as understanding the core machine learning concepts for image processing and exploring the theory behind machine learning and deep learning algorithm design.
If you decide to go for Tier Two of this collection, you’ll be provided with Tier One’s content alongside an additional five eBooks - with a heavy emphasis on hands-on guides ideal for those with a background in Python programming and image processing and those wanting to learn algorithms in Computer Vision to create and customize their applications.
Hands-On Computer Vision with TensorFlow 2 lets you discover how to build, train and serve your own deep neural networks with TensorFlow 2 and Keras - and apply modern solutions to a wide range of applications such as object detection and video analysis. This is the go-to guide for those looking to tackle problems in developing self-driving cars and facial emotion recognition systems, as well as boost your application’s performance with transfer learning, GANs, and domain adaptation.
Better still, if you opt for Tier Three of the Working with Data and AI Bundle, you’ll receive all 20 eBooks that this fantastic collection has to offer. This tier will vastly improve your skills when processing with Java and Python, as well as unlocking the full potential of OpenCV 4.
The Hands-On Image Processing with Python is perfect for Computer Vision Engineers and machine learning developers, giving you an insight into writing Python code to implement supervised/unsupervised machine learning algorithms for image processing, and using deep learning models for image classification, segmentation, object detection and style transfer.
There’s also the Hands-On Natural Language Processing with Python, which will help you oost your NLP models with strong deep learning architectures such as CNNs and RNNs. You’ll understand how to convert words to vectors by training in order to perform arithmetic operations, as well as train a deep learning model to detect classification of tweets and news.
All eBooks included in this bundle are available in EPUB, MOBI and PDF formats.