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Tag: Probability

  • Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability

    Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability



    Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability

    Price : 23.82

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    Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability

    In the world of machine learning, probabilistic deep learning is a rapidly growing field that focuses on incorporating uncertainty into deep learning models. By treating model predictions as probability distributions rather than point estimates, probabilistic deep learning allows for more robust and reliable predictions.

    In this post, we will explore how to implement probabilistic deep learning using Python, Keras, and Tensorflow Probability. We will cover topics such as Bayesian neural networks, variational inference, and uncertainty quantification.

    By the end of this post, you will have a solid understanding of how to leverage probabilistic deep learning techniques in your own projects using popular libraries such as Keras and Tensorflow Probability. Let’s dive in!
    #Probabilistic #Deep #Learning #Python #Keras #Tensorflow #Probability

  • Analytics & Probability: Data Science, Data Analysis and Predictive Analytics for Business & Risk Management, Statistics, Combinations, and Permutations for Business

    Analytics & Probability: Data Science, Data Analysis and Predictive Analytics for Business & Risk Management, Statistics, Combinations, and Permutations for Business


    Price: $0.00
    (as of Dec 26,2024 20:04:55 UTC – Details)



    In today’s data-driven world, analytics and probability play a crucial role in decision-making processes for businesses. From data science and data analysis to predictive analytics for risk management, understanding statistics, combinations, and permutations can provide valuable insights for optimizing operations and maximizing profitability.

    Data science involves extracting meaningful insights from large sets of data, using techniques such as machine learning and artificial intelligence to uncover patterns and trends. By analyzing data, businesses can make informed decisions on everything from marketing strategies to product development.

    Predictive analytics, on the other hand, uses historical data to forecast future outcomes and trends. By utilizing statistical models and algorithms, businesses can anticipate customer behavior, market fluctuations, and potential risks, allowing for proactive decision-making and risk mitigation strategies.

    Statistics, combinations, and permutations are fundamental concepts in probability theory, providing a framework for analyzing and interpreting data. Whether calculating probabilities for business outcomes or assessing the likelihood of different scenarios, a strong understanding of these concepts can help businesses make more accurate predictions and informed decisions.

    Overall, incorporating analytics and probability into business practices can lead to more efficient operations, improved risk management strategies, and ultimately, increased profitability. By leveraging data science, predictive analytics, and statistical methods, businesses can gain a competitive edge in today’s rapidly evolving marketplace.
    #Analytics #Probability #Data #Science #Data #Analysis #Predictive #Analytics #Business #Risk #Management #Statistics #Combinations #Permutations #Business

  • Python for Probability, Statistics, and Machine Learning

    Python for Probability, Statistics, and Machine Learning


    Price: $99.99 – $19.85
    (as of Dec 25,2024 11:47:47 UTC – Details)




    Publisher ‏ : ‎ Springer; 2nd ed. 2019 edition (July 11, 2019)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 398 pages
    ISBN-10 ‏ : ‎ 3030185443
    ISBN-13 ‏ : ‎ 978-3030185442
    Item Weight ‏ : ‎ 1.55 pounds
    Dimensions ‏ : ‎ 6.25 x 1.25 x 9.5 inches


    Python is a powerful programming language that is widely used in the fields of probability, statistics, and machine learning. Its simplicity, readability, and vast array of libraries make it a popular choice for data analysis and modeling.

    In probability and statistics, Python provides libraries such as NumPy, SciPy, and pandas that offer a wide range of functions for data manipulation, statistical analysis, and probability calculations. These libraries make it easy to perform tasks such as hypothesis testing, regression analysis, and data visualization.

    For machine learning, Python offers libraries like scikit-learn, TensorFlow, and Keras that provide tools for building and training machine learning models. These libraries make it easy to implement algorithms such as linear regression, support vector machines, and neural networks.

    Whether you are a student, researcher, or data scientist, Python is a valuable tool for working with probability, statistics, and machine learning. Its versatility and ease of use make it a go-to language for analyzing data and building predictive models.

    So if you are looking to enhance your skills in probability, statistics, and machine learning, consider learning Python and exploring its vast array of libraries and tools. It will open up a world of possibilities for analyzing data and making informed decisions.
    #Python #Probability #Statistics #Machine #Learning

  • Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

    Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics


    Price: $65.99 – $42.99
    (as of Dec 24,2024 20:46:27 UTC – Details)


    From the brand

    oreilly

    oreilly

    Explore more Data Science

    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    Publisher ‏ : ‎ O’Reilly Media; 1st edition (July 5, 2022)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 349 pages
    ISBN-10 ‏ : ‎ 1098102932
    ISBN-13 ‏ : ‎ 978-1098102937
    Item Weight ‏ : ‎ 1.28 pounds
    Dimensions ‏ : ‎ 7 x 0.75 x 9 inches


    Are you looking to take your data science skills to the next level? In order to truly excel in this field, it’s essential to have a strong foundation in math. From understanding complex algorithms to interpreting data accurately, math plays a crucial role in every aspect of data science.

    One of the key areas of math that data scientists must master is linear algebra. This branch of mathematics deals with vectors, matrices, and systems of linear equations, all of which are essential for performing operations on large datasets. By understanding linear algebra, you’ll be able to manipulate and analyze data more efficiently, leading to more accurate insights and predictions.

    Probability and statistics are also vital components of data science. Probability theory allows data scientists to quantify uncertainty and make informed decisions based on the likelihood of certain events occurring. Statistics, on the other hand, helps data scientists make sense of data by analyzing and interpreting patterns and trends. By mastering probability and statistics, you’ll be able to draw meaningful conclusions from your data and make more informed decisions.

    By taking control of your data with fundamental linear algebra, probability, and statistics, you’ll be better equipped to tackle complex data science problems and unlock valuable insights. So if you’re serious about excelling in the field of data science, make sure to brush up on your math skills and take your data analysis to the next level.
    #Essential #Math #Data #Science #Control #Data #Fundamental #Linear #Algebra #Probability #Statistics

  • Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability

    Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability


    Price: $49.99 – $43.84
    (as of Dec 24,2024 10:12:47 UTC – Details)




    Publisher ‏ : ‎ Manning; 1st edition (November 10, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 296 pages
    ISBN-10 ‏ : ‎ 1617296074
    ISBN-13 ‏ : ‎ 978-1617296079
    Item Weight ‏ : ‎ 1.1 pounds
    Dimensions ‏ : ‎ 7.38 x 0.3 x 9.25 inches


    Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability

    In the world of deep learning, there is a growing interest in incorporating uncertainty into neural networks. This is where probabilistic deep learning comes into play, allowing models to not only make predictions, but also quantify the uncertainty around those predictions.

    One popular framework for implementing probabilistic deep learning is TensorFlow Probability, which extends TensorFlow with tools for building and training probabilistic models. Paired with Keras, a high-level neural networks API, you can easily create and train probabilistic models in Python.

    In this post, we will explore how to implement probabilistic deep learning using Python, Keras, and TensorFlow Probability. We will cover topics such as defining probabilistic layers, training models with uncertainty, and evaluating model performance using probabilistic metrics.

    By the end of this post, you will have a solid understanding of how to leverage probabilistic deep learning techniques in your own projects, allowing you to build more robust and reliable models that can account for uncertainty in their predictions. So stay tuned for an in-depth dive into the world of probabilistic deep learning with Python, Keras, and TensorFlow Probability.
    #Probabilistic #Deep #Learning #Python #Keras #TensorFlow #Probability

  • Probability and Statistics for Machine Learning: A Textbook

    Probability and Statistics for Machine Learning: A Textbook


    Price: $69.99 – $65.58
    (as of Dec 24,2024 07:36:52 UTC – Details)




    Publisher ‏ : ‎ Springer; 2024th edition (May 15, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 540 pages
    ISBN-10 ‏ : ‎ 3031532813
    ISBN-13 ‏ : ‎ 978-3031532818
    Item Weight ‏ : ‎ 2.5 pounds
    Dimensions ‏ : ‎ 7 x 1.25 x 10 inches


    Probability and Statistics for Machine Learning: A Textbook

    Are you interested in learning more about how probability and statistics play a crucial role in the field of machine learning? Look no further than our comprehensive textbook on Probability and Statistics for Machine Learning.

    This textbook covers essential topics such as probability theory, statistical inference, and machine learning algorithms. It provides a solid foundation for understanding the principles behind machine learning models and how they make predictions based on data.

    Whether you are a beginner looking to dive into the world of machine learning or an experienced practitioner seeking to deepen your understanding of the underlying mathematics, this textbook is the perfect resource for you.

    With clear explanations, real-world examples, and practical exercises, Probability and Statistics for Machine Learning will help you develop the skills and knowledge needed to succeed in this rapidly growing field.

    Don’t miss out on this invaluable resource – order your copy today and start mastering the fundamentals of probability and statistics in machine learning.
    #Probability #Statistics #Machine #Learning #Textbook

  • AI Algorithm Probability Double Lottery Picker, AI Picker Lottery Selector

    AI Algorithm Probability Double Lottery Picker, AI Picker Lottery Selector



    AI Algorithm Probability Double Lottery Picker, AI Picker Lottery Selector

    Price : 9.49 – 8.16

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    Are you tired of trying to pick the winning lottery numbers on your own? Look no further than our AI Algorithm Probability Double Lottery Picker! Our advanced AI system uses probability analysis to select the most likely winning numbers for you to play.

    With our AI Picker Lottery Selector, you can increase your chances of winning big with just a few clicks. Don’t leave your luck to chance – let our AI do the hard work for you and help you hit the jackpot.

    Try our AI Algorithm Probability Double Lottery Picker today and see how easy it is to play smarter, not harder. Good luck! #lottery #AI #winningnumbers #jackpot
    #Algorithm #Probability #Double #Lottery #Picker #Picker #Lottery #Selector

  • Probability and Statistics Essentials for Data Science and Machine Learning: 200+ examples and pictures

    Probability and Statistics Essentials for Data Science and Machine Learning: 200+ examples and pictures


    Price: $9.99
    (as of Dec 17,2024 03:09:13 UTC – Details)




    ASIN ‏ : ‎ B0CM4391Q5
    Publication date ‏ : ‎ October 29, 2023
    Language ‏ : ‎ English
    File size ‏ : ‎ 43870 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 351 pages


    In the world of data science and machine learning, a strong understanding of probability and statistics is essential. Whether you are analyzing data, building predictive models, or making decisions based on data, a solid foundation in these mathematical concepts is crucial.

    In our latest post, we have compiled over 200 examples and pictures to help you master the essentials of probability and statistics for data science and machine learning. From basic concepts such as probability distributions and hypothesis testing to more advanced topics like Bayesian statistics and machine learning algorithms, this post covers it all.

    By studying these examples and pictures, you will gain a deeper understanding of how to apply probability and statistics in real-world scenarios. Whether you are a beginner looking to build your skills or an experienced data scientist seeking to deepen your knowledge, this post is a valuable resource for anyone working in the field of data science and machine learning.

    So don’t wait any longer – dive into our comprehensive guide to Probability and Statistics Essentials for Data Science and Machine Learning and take your data analysis skills to the next level!
    #Probability #Statistics #Essentials #Data #Science #Machine #Learning #examples #pictures

  • Python for Probability, Statistics, and Machine Learning – Hardcover – Good

    Python for Probability, Statistics, and Machine Learning – Hardcover – Good



    Python for Probability, Statistics, and Machine Learning – Hardcover – Good

    Price : 18.27

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    If you’re looking to deepen your understanding of Python for probability, statistics, and machine learning, look no further than this comprehensive hardcover book. Packed with valuable insights, practical examples, and in-depth explanations, this book is a must-have for anyone looking to expand their knowledge in these areas.

    From foundational concepts to advanced techniques, this book covers everything you need to know to excel in the fields of probability, statistics, and machine learning using Python. Whether you’re a beginner looking to build a solid foundation or an experienced practitioner seeking to enhance your skills, this book has something for everyone.

    With its clear and concise explanations, detailed examples, and hands-on exercises, this book will help you master Python and its applications in probability, statistics, and machine learning. Don’t miss out on this invaluable resource – grab your copy today and take your skills to the next level!
    #Python #Probability #Statistics #Machine #Learning #Hardcover #Good

  • Python for Probability, Statistics, and Machine Learning – Hardcover – VERY GOOD

    Python for Probability, Statistics, and Machine Learning – Hardcover – VERY GOOD



    Python for Probability, Statistics, and Machine Learning – Hardcover – VERY GOOD

    Price : 17.25

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    Are you looking to deepen your understanding of probability, statistics, and machine learning using Python? Look no further than “Python for Probability, Statistics, and Machine Learning” in hardcover format. This book is in VERY GOOD condition, making it a valuable addition to your library.

    In this comprehensive guide, you will learn how to implement various statistical and machine learning techniques using Python. From probability theory to data visualization and modeling, this book covers all the essential topics to help you become proficient in these fields.

    Whether you are a beginner or an experienced practitioner, this book offers valuable insights and practical examples to enhance your skills. Don’t miss out on this opportunity to level up your knowledge in probability, statistics, and machine learning with Python.

    Grab your copy of “Python for Probability, Statistics, and Machine Learning” in hardcover format today and take your understanding to the next level!
    #Python #Probability #Statistics #Machine #Learning #Hardcover #GOOD

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