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Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

comprehensive overview of popular Python time-series packages and help you build better predictive systems. Machine Learning for Time-Series with;

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Machine Learning for Finance

book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes;

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Time Series Algorithms Recipes

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;

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Machine Learning for Time Series Forecasting with Python

Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and;

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Hands-On Unsupervised Learning with Python

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning;

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Hands-On Machine Learning for Cybersecurity

Get into the world of smart data security using machine learning algorithms and Python libraries Key Features Learn machine learning;

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Python

with Python machine learning for the real world, and develop solutions to real-world problems. Through this comprehensive course, you'll learn;

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Machine Learning with Spark and Python

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;

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Hands-On Artificial Intelligence for Cybersecurity

malware samples Overcome antivirus limits in threat detection Predict network intrusions and detect anomalies with machine learning Verify the;

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Practical Machine Learning with Python

examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Python Machine Learning By Example

of machine learning and build your own intelligent applications * Master the art of building your own machine learning systems with this example;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Hands-On Data Science and Python Machine Learning

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;

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Hands-On Time Series Analysis with R

series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;

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Introduction to Machine Learning with Python

the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and;

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Machine Learning with the Elastic Stack

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Real-World Machine Learning

learning and prepares readers to successfully build and deploy powerful ML systems. Using the Python language and the R statistical package, it;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Machine Learning with Python

success. This guide is meant to help you with understanding the fundamentals of Machine Learning with Python, as well as making predictions and;

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Machine Learning for Healthcare Analytics Projects

a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter;

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Machine Learning Using R

TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine;

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