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Tag: Algorithmic

  • Machine Learning: An Algorithmic – Hardcover, by Marsland Stephen – Very Good

    Machine Learning: An Algorithmic – Hardcover, by Marsland Stephen – Very Good



    Machine Learning: An Algorithmic – Hardcover, by Marsland Stephen – Very Good

    Price : 36.41

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    Machine Learning: An Algorithmic – Hardcover, by Marsland Stephen – Very Good

    If you’re looking to dive into the world of machine learning, then Marsland Stephen’s book is a must-read. This comprehensive guide covers the fundamental algorithms and techniques used in machine learning, making it perfect for beginners and experts alike.

    With clear explanations and practical examples, Marsland Stephen breaks down complex concepts into easy-to-understand pieces. Whether you’re interested in supervised learning, unsupervised learning, or reinforcement learning, this book has you covered.

    The hardcover edition of Machine Learning: An Algorithmic is not only durable but also visually appealing. The quality of the book itself reflects the quality of the content inside. With a clear layout and organized structure, you’ll have no trouble navigating through the chapters and finding the information you need.

    Overall, Machine Learning: An Algorithmic – Hardcover, by Marsland Stephen is a valuable resource for anyone looking to expand their knowledge of machine learning. With its clear explanations, practical examples, and high-quality hardcover binding, this book is a great addition to any data scientist or machine learning enthusiast’s library.
    #Machine #Learning #Algorithmic #Hardcover #Marsland #Stephen #Good

  • The Power of AI in Finance: Unlock Artificial Intelligence and Transform Finance with Machine Learning, Algorithmic Trading, Risk Management, and Ethical Consideration (Digital Finance)

    The Power of AI in Finance: Unlock Artificial Intelligence and Transform Finance with Machine Learning, Algorithmic Trading, Risk Management, and Ethical Consideration (Digital Finance)


    Price: $10.99
    (as of Nov 29,2024 00:11:35 UTC – Details)


    From the Publisher

    THE POWER OF AI IN FINANCETHE POWER OF AI IN FINANCE

    Unlock the future of finance with 'The Power of AI in Finance'

    Unlock the future of finance with 'The Power of AI in Finance'

    Stay ahead of the curve by understanding how AI is revolutionizing financial analysis and risk

    Stay ahead of the curve by understanding how AI is revolutionizing financial analysis and risk

    Secure your copy today and empower yourself with the knowledge to navigate and succeed

    Secure your copy today and empower yourself with the knowledge to navigate and succeed

    I'm blown away by the practicality of this bookI'm blown away by the practicality of this book

    Customer Reviews

    4.6 out of 5 stars

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    Price

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    Simple and Accessible Writing Style

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    Well-Organized and Logically Structured

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    Provides Practical Advice

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    Number of Pages
    168 160 312

    2-in-1 Collection

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    Value for Money
    Great Great Excellent

    Publisher ‏ : ‎ Book Bound Studios (April 25, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 160 pages
    ISBN-10 ‏ : ‎ 1923045288
    ISBN-13 ‏ : ‎ 978-1923045286
    Item Weight ‏ : ‎ 10.6 ounces
    Dimensions ‏ : ‎ 6 x 0.37 x 9 inches

    Customers say

    Customers find the book clear, well-researched, and comprehensive. They say it’s a fantastic read and delivers on what the author promises. Readers also mention it’s perfect for young people just starting out.

    AI-generated from the text of customer reviews


    The Power of AI in Finance: Unlock Artificial Intelligence and Transform Finance with Machine Learning, Algorithmic Trading, Risk Management, and Ethical Consideration (Digital Finance)

    Artificial Intelligence (AI) has revolutionized the finance industry in recent years, offering new opportunities for efficiency, accuracy, and innovation. From machine learning algorithms that can predict market trends to automated trading systems that execute trades in milliseconds, AI is reshaping the way financial institutions operate.

    One of the most prominent applications of AI in finance is algorithmic trading, where computer programs analyze market data and execute trades at optimal times and prices. This technology has significantly increased the speed and volume of trading, leading to more liquidity in the markets and reduced transaction costs.

    AI is also being used in risk management, where sophisticated models can analyze vast amounts of data to identify potential risks and opportunities. By leveraging AI, financial institutions can better assess and mitigate risks, leading to more stable and resilient financial systems.

    However, as AI continues to transform the finance industry, it is essential to consider ethical considerations. With the power of AI comes the responsibility to ensure that algorithms are fair, transparent, and accountable. Financial institutions must prioritize ethical considerations to build trust with customers and regulators and avoid potential biases and discrimination.

    In conclusion, the power of AI in finance is undeniable. By unlocking the potential of artificial intelligence through machine learning, algorithmic trading, risk management, and ethical considerations, financial institutions can drive innovation, improve efficiency, and create a more sustainable and inclusive financial system. Embracing AI in finance is not just a choice but a necessity for institutions looking to thrive in the digital age.
    #Power #Finance #Unlock #Artificial #Intelligence #Transform #Finance #Machine #Learning #Algorithmic #Trading #Risk #Management #Ethical #Consideration #Digital #Finance

  • Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python


    Price: $57.99 – $39.74
    (as of Nov 27,2024 20:16:18 UTC – Details)


    From the brand

    Packt's Brand StoryPackt's Brand Story

    Packt LogoPackt Logo

    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

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    Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (July 31, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 822 pages
    ISBN-10 ‏ : ‎ 1839217715
    ISBN-13 ‏ : ‎ 978-1839217715
    Item Weight ‏ : ‎ 3.1 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 1.69 inches


    In today’s fast-paced financial markets, having a competitive edge can make all the difference in the world of algorithmic trading. Machine learning has revolutionized the way traders analyze data and make decisions, allowing them to extract valuable signals from market and alternative data to inform their trading strategies.

    Python, with its powerful libraries such as scikit-learn and TensorFlow, has become a popular choice for building predictive models in algorithmic trading. By leveraging machine learning techniques, traders can uncover patterns in vast amounts of data that humans alone would struggle to identify.

    In this post, we will explore how machine learning can be used to develop systematic trading strategies that are driven by predictive models. These models can analyze historical market data, as well as alternative data sources such as social media sentiment and news articles, to generate signals that inform trading decisions.

    Some common machine learning algorithms used in algorithmic trading include linear regression, decision trees, random forests, and neural networks. These algorithms can be trained on historical data to identify patterns and relationships that can be used to predict future price movements.

    By combining machine learning with algorithmic trading, traders can create more sophisticated and data-driven strategies that can adapt to changing market conditions in real-time. This can lead to more consistent profits and a competitive edge in the crowded world of trading.

    Overall, machine learning has the potential to revolutionize algorithmic trading by allowing traders to extract valuable signals from market and alternative data. By leveraging the power of Python and machine learning algorithms, traders can develop systematic trading strategies that are driven by data-driven insights and predictive models.
    #Machine #Learning #Algorithmic #Trading #Predictive #models #extract #signals #market #alternative #data #systematic #trading #strategies #Python

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