Data Science Algorithms in a Week, 2nd Edition
Top 7 algorithms for scientific computing, data analysis, and machine learning
|Price||$39.99 - $58.53
|Format||Paper book / ebook (PDF)|
Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well.
Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and time-series analysis.
By the end of this book, you will understand how to choose machine learning algorithms for clustering, classification, and regression and know which is best suited for your problem.
by Jodessiah Sumpter
Create and complete your first 2D arcade game in Unity. In Make a 2D Arcade Game in a Weekend with Unity, you will learn to create an arcade classic brick breaker game from beginning to end. You will plan the game flow, add the graphics and create the game logic using C#, then build the UX to complete your game. By the time you have finis...
Price: $29.00 | Publisher: Apress | Release: 2015
by George T. Heineman, Gary Pollice, Stanley Selkow
Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs - with ...
Price: $44.49 | Publisher: O'Reilly Media | Release: 2016
by Darrin Perez
Price: $34.42 | Publisher: Apress | Release: 2015
by Alberto Boschetti, Luca Massaron
Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.The book covers detai...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
by Luc Perkins, Jim Wilson, Eric Redmond
Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of...
Price: $25.00 | Publisher: The Pragmatic Programmers | Release: 2018
by Alex Galea
Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, incl...
Price: $29.99 | Publisher: Packt Publishing | Release: 2018
by Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter...
Price: $29.99 | Publisher: Packt Publishing | Release: 2014
by Dejan Sarka
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.This book is the ideal introduction to data science w...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018