Learn IT - Books tags foundations

Algorithm Design: Foundations, Analysis and Internet Examples

John Wiley & Sons, 2001

This book is designed to provide a comprehensive introduction to the design and analysis of computer algorithms and data structures. In terms M the computer science and computer engineering curricula, we have written this book to be primarily focused on the Junior-Senior level Algorithms (CS7) course, which is taught as a...

Joe Celko's Data and Databases: Concepts in Practice (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 1999

Do you need an introductory book on data and databases? If the book is by Joe Celko, the answer is yes. Data and Databases: Concepts in Practice is the first introduction to relational database technology written especially for practicing IT professionals. If you work mostly outside the database world, this book will ground...

Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Packt Publishing, 2018

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks

Key Features

Understand the foundations of meta learning algorithms

Explore practical examples to explore...

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Packt Publishing, 2018

Create AI applications in Python and lay the foundations for your career in data science

Key Features

Practical examples that explain key machine learning algorithms

Explore neural networks in detail with interesting examples

Master core AI concepts with...

Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud

Apress, 2017

Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual...

Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

Packt Publishing, 2018

Create succinct and expressive implementations with functional programming in Python

Key Features

Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance

Get familiar with complex concepts such as monads,...

Mastering Functional Programming: Functional techniques for sequential and parallel programming with Scala

Packt Publishing, 2018

Learn how functional programming can help you in deploying web servers and working with databases in a declarative and pure way

Key Features

Learn functional programming from scratch

Program applications with side effects in a pure way

Gain expertise in...

Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Packt Publishing, 2018

Gain useful insights from your data using popular data science tools

Key Features

A one-stop guide to Python libraries such as pandas and NumPy

Comprehensive coverage of data science operations such as data cleaning and data manipulation

Choose scalable...

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Packt Publishing, 2019

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

Key Features

A go-to guide to help you master AI algorithms and concepts

8 real-world projects tackling different challenges in healthcare, e-commerce, and...

Optimization Algorithms for Networks and Graphs

CRC Press, 1992

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm...

Foundational and Applied Statistics for Biologists Using R

CRC Press, 2013

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Apress, 2018

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

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