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Tag: anomalies
Quantitative Investing: Strategies to exploit stock market anomalies for all investors
Price:$45.00– $30.34
(as of Jan 26,2025 08:46:45 UTC – Details)
Publisher : Harriman House (August 26, 2013)
Language : English
Paperback : 146 pages
ISBN-10 : 0857193007
ISBN-13 : 978-0857193001
Item Weight : 2.31 pounds
Dimensions : 6.15 x 0.45 x 9.2 inchesCustomers say
Customers find the book provides useful information about strategies and thought-provoking examples of investing concepts. They describe it as a helpful guide that gets readers into quantitative investing. The book is easy to understand with clear explanations, simple math, and hard data. Readers consider it worth the purchase price.
AI-generated from the text of customer reviews
Quantitative Investing: Strategies to exploit stock market anomalies for all investorsQuantitative investing is a data-driven approach to investing that relies on mathematical models and statistical analysis to identify investment opportunities. By analyzing large amounts of data, quantitative investors seek to exploit inefficiencies in the stock market and generate superior returns.
One of the key strategies used in quantitative investing is to identify stock market anomalies. Anomalies are patterns or trends in stock prices that deviate from the norm and can be exploited for profit. Some common anomalies include momentum, value, and size effects.
Momentum investing involves buying stocks that have been performing well and selling stocks that have been performing poorly. This strategy takes advantage of the tendency for stock prices to continue moving in the same direction in the short term.
Value investing, on the other hand, involves buying undervalued stocks and selling overvalued stocks. This strategy is based on the idea that the market sometimes misprices stocks, creating opportunities for investors to profit.
The size effect refers to the tendency for small-cap stocks to outperform large-cap stocks over the long term. By investing in small-cap stocks, investors can potentially earn higher returns than by investing in large-cap stocks.
Overall, quantitative investing offers a systematic and disciplined approach to investing that can help investors take advantage of stock market anomalies and generate superior returns. By using mathematical models and statistical analysis, investors can make more informed investment decisions and potentially outperform the market.
#Quantitative #Investing #Strategies #exploit #stock #market #anomalies #investors,business 101 for data professionals
Adaptive Anomalies: AI in Intrusion Detection Systems (Cyber Fortresses)
Price: $9.99
(as of Dec 26,2024 15:45:07 UTC – Details)
ASIN : B0DFPK7CBG
Publication date : August 29, 2024
Language : English
File size : 4038 KB
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Format : Print Replica
In today’s ever-evolving cyber threat landscape, traditional intrusion detection systems (IDS) are no longer sufficient in defending against sophisticated attacks. As cybercriminals become more advanced in their techniques, organizations must adapt and implement more intelligent and adaptive solutions to protect their valuable assets.Enter Adaptive Anomalies: AI in Intrusion Detection Systems, also known as cyber fortresses. These cutting-edge systems leverage artificial intelligence (AI) algorithms to continuously learn and adapt to new threats in real-time, making them highly effective in detecting and mitigating potential security breaches.
Unlike traditional IDS, which rely on predefined rules and signatures to identify known threats, AI-powered intrusion detection systems can analyze vast amounts of data to detect unusual patterns or anomalies that may indicate a potential security breach. This proactive approach enables organizations to stay one step ahead of cybercriminals and prevent attacks before they can cause damage.
With the increasing prevalence of AI in cybersecurity, it is crucial for organizations to invest in advanced intrusion detection systems that can effectively defend against evolving threats. By leveraging AI technology in their defense strategies, organizations can fortify their cyber fortresses and protect their sensitive data from malicious actors.
In conclusion, Adaptive Anomalies: AI in Intrusion Detection Systems represents the future of cybersecurity, offering a proactive and adaptive approach to defending against cyber threats. By integrating AI-powered solutions into their security infrastructure, organizations can enhance their defenses and stay ahead of cybercriminals in the ongoing battle for cyber resilience.
#Adaptive #Anomalies #Intrusion #Detection #Systems #Cyber #Fortresses
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Price: $31.81
(as of Dec 25,2024 22:34:50 UTC – Details)
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ASIN : B09GS44ZP4
Publisher : Packt Publishing; 1st edition (October 29, 2021)
Publication date : October 29, 2021
Language : English
File size : 16832 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 370 pages
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methodsIn today’s data-driven world, time-series data is everywhere, from stock prices and weather forecasts to sensor data and sales projections. Machine learning techniques have revolutionized the way we analyze and interpret time-series data, allowing us to forecast future trends, predict outcomes, and detect anomalies with unprecedented accuracy.
In this post, we will explore how to leverage Python and state-of-the-art machine learning methods to tackle time-series data analysis. We will cover techniques such as ARIMA (Autoregressive Integrated Moving Average), LSTM (Long Short-Term Memory), and Prophet for forecasting, as well as isolation forests and one-class SVM for anomaly detection.
By the end of this post, you will have a solid understanding of how to apply machine learning to time-series data, enabling you to make better predictions, optimize resources, and detect anomalies in your data. Stay tuned for practical examples, code snippets, and hands-on exercises to help you master these powerful techniques. Let’s dive in and unlock the potential of machine learning for time-series data analysis!
#Machine #Learning #TimeSeries #Python #Forecast #predict #detect #anomalies #stateoftheart #machine #learning #methods
Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, 2nd Edition
Price: $31.81
(as of Dec 24,2024 17:05:31 UTC – Details)
ASIN : B0BR5DRZGN
Publisher : Packt Publishing (April 9, 2025)
Publication date : April 9, 2025
Language : English
Text-to-Speech : Enabled
In the realm of time series analysis, machine learning has become an invaluable tool for forecasting, predicting, and detecting anomalies. With the release of the 2nd Edition of “Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods,” readers can delve deeper into the latest techniques and applications in this rapidly evolving field.This comprehensive guide, authored by experts in the field, provides a hands-on approach to understanding and implementing machine learning algorithms for time series data using Python. From basic concepts to advanced methodologies, readers will learn how to leverage cutting-edge techniques to extract valuable insights from their time series datasets.
Key topics covered in this edition include:
– Introduction to time series analysis and machine learning
– Data preprocessing and feature engineering
– Forecasting and prediction using popular algorithms like ARIMA, LSTM, and XGBoost
– Anomaly detection and outlier identification
– Model evaluation and performance metrics
– Real-world case studies and practical applicationsWhether you’re a seasoned data scientist looking to expand your knowledge or a beginner eager to dive into the world of time series analysis, this book offers something for everyone. With its clear explanations, code examples, and hands-on exercises, “Machine Learning for Time Series” equips readers with the tools they need to tackle complex time series problems with confidence.
Don’t miss out on this essential resource for mastering machine learning techniques in time series analysis. Get your copy of the 2nd Edition today and take your skills to the next level!
#Machine #Learning #Time #Series #Python #forecast #predict #detect #anomalies #stateoftheart #machine #learning #methods #2nd #Edition
Hands-On Artificial Intelligence for Cybersecurity: Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
Price: $46.57
(as of Dec 24,2024 02:34:17 UTC – Details)
Publisher : Packt Publishing (August 2, 2019)
Language : English
Paperback : 342 pages
ISBN-10 : 1789804027
ISBN-13 : 978-1789804027
Item Weight : 1.32 pounds
Dimensions : 9.25 x 7.5 x 0.72 inches
In today’s digital age, the threat of cyber attacks looms large over businesses of all sizes. From data breaches to ransomware attacks, the consequences of a successful cyber attack can be devastating. That’s why it’s more important than ever for organizations to invest in advanced cybersecurity measures, including artificial intelligence.Hands-On Artificial Intelligence for Cybersecurity is a cutting-edge solution that leverages AI technology to prevent cyber attacks and detect threats and network anomalies in real-time. By implementing smart AI systems, organizations can stay one step ahead of cyber criminals and protect their sensitive data and assets.
With Hands-On Artificial Intelligence for Cybersecurity, businesses can:
1. Proactively identify and block potential cyber threats before they can do harm
2. Detect unusual patterns and behaviors on their network that could indicate a breach
3. Automate routine security tasks to free up valuable time and resources
4. Continuously learn and adapt to evolving cyber threats to stay ahead of the curveBy harnessing the power of artificial intelligence, organizations can enjoy peace of mind knowing that their cybersecurity defenses are robust and effective. Don’t wait until it’s too late – invest in Hands-On Artificial Intelligence for Cybersecurity today and protect your business from cyber threats.
#HandsOn #Artificial #Intelligence #Cybersecurity #Implement #smart #systems #preventing #cyber #attacks #detecting #threats #network #anomalies, Cybersecurity
Infrastructure Monitoring with Amazon CloudWatch: Effectively monitor your AWS infrastructure to optimize resource allocation, detect anomalies, and set automated actions
Price: $42.27
(as of Dec 13,2024 22:52:36 UTC – Details)
Publisher : Packt Publishing (April 16, 2021)
Language : English
Paperback : 314 pages
ISBN-10 : 1800566050
ISBN-13 : 978-1800566057
Item Weight : 1.21 pounds
Dimensions : 9.25 x 7.5 x 0.66 inches
Monitoring your AWS infrastructure is crucial for ensuring optimal performance, resource allocation, and overall efficiency. Amazon CloudWatch is a powerful tool that allows you to effectively monitor your infrastructure, detect anomalies, and take automated actions to address issues before they impact your operations.With Amazon CloudWatch, you can monitor key metrics and logs from your AWS resources in real-time, allowing you to quickly identify performance bottlenecks, resource constraints, and potential security threats. By setting up custom dashboards and alarms, you can easily track the health and performance of your infrastructure and take proactive measures to address any issues that arise.
In addition to monitoring metrics and logs, Amazon CloudWatch also allows you to set up automated actions based on predefined thresholds or events. For example, you can configure CloudWatch to automatically scale your EC2 instances up or down based on CPU usage, or to send alerts to your team when a specific metric exceeds a certain threshold.
By effectively monitoring your AWS infrastructure with Amazon CloudWatch, you can optimize resource allocation, improve performance, and ensure the overall reliability of your applications and services. Take advantage of this powerful tool to gain valuable insights into your infrastructure, detect potential issues early on, and set up automated actions to streamline your operations.
#Infrastructure #Monitoring #Amazon #CloudWatch #Effectively #monitor #AWS #infrastructure #optimize #resource #allocation #detect #anomalies #set #automated #actions
