Learn IT - Books tags forecasting

Forecasting With The Theta Method: Theory and Applications

John Wiley & Sons, 2019

The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Packt Publishing, 2018

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow

Explore deep neural...

Applied Genetic Programming and Machine Learning

CRC Press, 2009

This book delivers theoretical and practical knowledge on extension of Genetic Programming (GP) for practical applications. It provides a methodology for integrating Genetic Programming and machine-learning techniques. The developmentof such tools contributes to the establishment of a more robust evolutionary framework when addressing...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Packt Publishing, 2018

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action

Get to grips with Keras and practice on real-world unstructured...

Advanced Digital Signal Processing and Noise Reduction

John Wiley & Sons, 2006

Signal processing plays an increasingly central role in the development of modern telecommunication and information processing systems, with a wide range of applications in areas such as multimedia technology, audio-visual signal processing, cellular mobile communication, radar systems and financial data forecasting. The theory and application of...

Machine Learning for Business: Using Amazon SageMaker and Jupyter

Manning Publications, 2020

Summary

Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen

Think about the benefits of forecasting tedious business processes and back-office tasks

Envision quickly gauging customer...

Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Packt Publishing, 2018

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

Think deeply as a developer about your strategy and toolset in data science

Discover the best tools that...

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)

Springer, 2013

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important...

The Scrumban [R]Evolution: Getting the Most Out of Agile, Scrum, and Lean Kanban (Agile Software Development Series)

Addison Wesley, 2015

Create Thriving, High-Performing Teams and Organizations with Scrumban

Scrumban allows you to use Kanban as a catalyst for increasingly valuable changes to your existing software development processes, amplifying and expanding upon Scrum’s...

Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization)

John Wiley & Sons, 2004

Logistic systems constitute one of the cornerstones in the design and control of production systems and the modelling of supply chains. They are key to a number of industries, and courses teaching logistics systems planning and control are becoming more widespread. Introduction to Logistics Systems Planning and Control is the first book to...

Environmental Foresight and Models: A Manifesto

Elsevier Limited, 2002

Policy-makers and the public, it has famously been said, are more interested in the possibility of non-linear dislocations and surprises in the behaviour of the environment than in smooth extrapolations of current trends. The International Task Force in Forecasting Environmental Change (1993-1998) dedicated its work to developing procedures...

Computational Intelligence: Engineering of Hybrid Systems

Springer, 2005

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms –...

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