Download or read book Developing Kaggle Notebooks written by Gabriel Preda and published by Packt Publishing Ltd. This book was released on 2023-12-27 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in Color Develop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impact Leverage the power of Generative AI with Kaggle Models Purchase of the print or Kindle book includes a free PDF eBook Key Features Master the basics of data ingestion, cleaning, exploration, and prepare to build baseline models Work robustly with any type, modality, and size of data, be it tabular, text, image, video, or sound Improve the style and readability of your Notebooks, making them more impactful and compelling Book DescriptionDeveloping Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques. For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable. Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.What you will learn Approach a dataset or competition to perform data analysis via a notebook Learn data ingestion and address issues arising with the ingested data Structure your code using reusable components Analyze in depth both small and large datasets of various types Distinguish yourself from the crowd with the content of your analysis Enhance your notebook style with a color scheme and other visual effects Captivate your audience with data and compelling storytelling techniques Who this book is for This book is suitable for a wide audience with a keen interest in data science and machine learning, looking to use Kaggle Notebooks to improve their skills and rise in the Kaggle Notebooks ranks. This book caters to: Beginners on Kaggle from any background Seasoned contributors who want to build various skills like ingestion, preparation, exploration, and visualization Expert contributors who want to learn from the Grandmasters to rise into the upper Kaggle rankings Professionals who already use Kaggle for learning and competing

Download or read book Find Your Center written by Cloud Tower and published by . This book was released on 2019-08-09 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing notebook for yourself or someone who loves donuts and practicing yoga. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover

Download or read book Cloud Computing for Science and Engineering written by Ian Foster and published by MIT Press. This book was released on 2017-09-29 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.

Download or read book Happy Little Clouds written by Cute Notebook Cute Notebook Factory and published by Createspace Independent Publishing Platform. This book was released on 2018-09-12 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: For anyone who likes white fluffy clouds and for fans of PBS painting shows... hint hint nudge nudge... you know who you are ;) Happy little trees... happy little clouds... 6X9 inch, 107 pages, lightly lined, quality paper, matte softcover finish. Cute Notebook Factory makes wide variety of beautiful journals and note books for girls, perfect for school, work and home. Please click our name to see all of our listings.

Download or read book Trailblazer written by Marc Benioff and published by Currency. This book was released on 2019-10-15 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • The founder and co-CEO of Salesforce delivers an inspiring vision for successful companies of the future—in which changing the world is everyone’s business. “The gold standard on how to use business as a platform for change at this urgent time.”—Ray Dalio, founder of Bridgewater Associates and author of Principles: Life and Work What’s the secret to business growth and innovation and a purpose-driven career in a world that is becoming vastly more complicated by the day? According to Marc Benioff, the answer is embracing a culture in which your values permeate everything you do. In Trailblazer, Benioff gives readers a rare behind-the-scenes look at the inner workings of one of the world’s most admired companies. He reveals how Salesforce’s core values—trust, customer success, innovation, and equality—and commitment to giving back have become the company’s greatest competitive advantage and the most powerful engine of its success. Because no matter what business you’re in, Benioff says, values are the bedrock of a resilient company culture that inspires all employees, at every level, to do the best work of their lives. Along the way, he shares insights and best practices for anyone who wants to cultivate a company culture positioned to thrive in the face of the inevitable disruption ahead. None of us in the business world can afford to sit on the sidelines and ignore what’s going on outside the walls of our workplaces. In the future, profits and progress will no longer be sustainable unless they serve the greater good. Whether you run a company, lead a small team, or have just draped an ID badge around your neck for the first time, Trailblazer reveals how anyone can become an agent of change. Praise for Trailblazer “A guide for what every business and organization must do to thrive in this period of profound political and economic change.”—Jamie Dimon, chairman and CEO of JPMorgan Chase “In Trailblazer, Benioff explores how companies can nurture a values-based culture to become powerful platforms for change.”—Susan Wojcicki, CEO of YouTube

Download or read book Fantasy Notebook written by Cloud Tower and published by Independently Published. This book was released on 2019-07-27 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing shark pirate wolf notebook for yourself or someone who loves cute animals. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover

Download or read book Fantasy Notebook written by Cloud Tower and published by Independently Published. This book was released on 2019-07-27 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing bunny notebook for yourself or someone who loves cute animals. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover

Download or read book Natural Language Processing with Transformers Revised Edition written by Lewis Tunstall and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Download or read book Fantasy Notebook written by Cloud Tower and published by Independently Published. This book was released on 2019-07-27 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing bunny notebook for yourself or someone who loves cute animals. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover

Download or read book Fantasy Notebook written by Cloud Tower and published by . This book was released on 2019-08-08 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing t-rex dinosaur notebook for yourself or someone who loves fantasy stories. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover

Download or read book Python Data Analysis written by Armando Fandango and published by Packt Publishing Ltd. This book was released on 2017-03-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply powerful data analysis techniques with popular open source Python modules About This Book Find, manipulate, and analyze your data using the Python 3.5 libraries Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects. Who This Book Is For This book is for programmers, scientists, and engineers who have the knowledge of Python and know the basics of data science. It is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst. What You Will Learn Install open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms Prepare and clean your data, and use it for exploratory analysis Manipulate your data with Pandas Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5 Visualize your data with open source libraries such as matplotlib, bokeh, and plotly Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian Understand signal processing and time series data analysis Get to grips with graph processing and social network analysis In Detail Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries. Style and approach The book takes a very comprehensive approach to enhance your understanding of data analysis. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work. Packed with clear, easy to follow examples, this book will turn you into an ace data analyst in no time.

Download or read book Structure and Interpretation of Classical Mechanics second edition written by Gerald Jay Sussman and published by MIT Press. This book was released on 2015-02-06 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of a classic text that concentrates on developing general methods for studying the behavior of classical systems, with extensive use of computation. We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic. It weaves recent discoveries in nonlinear dynamics throughout the text, rather than presenting them as an afterthought. Explorations of phenomena such as the transition to chaos, nonlinear resonances, and resonance overlap to help the student develop appropriate analytic tools for understanding. The book uses computation to constrain notation, to capture and formalize methods, and for simulation and symbolic analysis. The requirement that the computer be able to interpret any expression provides the student with strict and immediate feedback about whether an expression is correctly formulated. This second edition has been updated throughout, with revisions that reflect insights gained by the authors from using the text every year at MIT. In addition, because of substantial software improvements, this edition provides algebraic proofs of more generality than those in the previous edition; this improvement permeates the new edition.

Download or read book The Sketchbook written by Gerd Presler and published by XinXii. This book was released on 2017-06-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sketchbooks are an outstanding feature in more than a few exhibitions: they have a downright prominent place in showcases, above them monitors where all sheets can be seen on touch screens – a visual pleasure and an exciting event. Unfortunately, however, many people continue to be rather baffled by sketchbooks. What goes on there? Most are convinced that the purpose of a sketchbook is to prepare for a work – typically a painting. Its pages contain impressions of a preliminary nature, sketched in a few strokes, which are completed at another time and another place. But things have changed, and this is a development we have to examine at long last in greater depth: sketchbooks can accomplish more; they plough a field other than that of “pre-liminarity”! To date there is no publication that explores their true significance within the creative process. Is it not called for to take a close look at the weight artists attach to the “silent companion in their jacket pocket”? This is the purpose of this book.

Download or read book Building Machine Learning and Deep Learning Models on Google Cloud Platform written by Ekaba Bisong and published by Apress. This book was released on 2019-09-27 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

Download or read book Practical Machine Learning for Computer Vision written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2021-07-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

Download or read book HowExpert Guide to Cloud Spotting written by HowExpert and published by HowExpert. This book was released on with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to discover the enchanting world of clouds, HowExpert Guide to Cloud Spotting is your comprehensive guide. This guide covers everything you need to become an expert cloud spotter, from understanding cloud formations to capturing their beauty in art and photography. Introduction to Cloud Spotting - Begin your journey into cloud spotting, learn its benefits, what you'll gain, how to use this guide, and get inspired for your cloud spotting adventure. Chapter 1: Welcome to the World of Clouds - Discover the joy and benefits of cloud spotting, how it enhances your life, and get an overview of the book's structure and resources. Part 1: The Magic of Clouds Chapter 2: Why Clouds Matter - Understand the role of clouds in weather and climate, their cultural and historical significance, and read personal stories from cloud spotters. Chapter 3: Types of Clouds: An Introduction - Identify high-level, mid-level, low-level clouds, and clouds with vertical development. Part 2: Mastering Cloud Identification Chapter 4: Tools and Techniques for Cloud Spotting - Learn about essential gear, advanced techniques, and how to keep a cloud spotting journal. Chapter 5: In-Depth Cloud Identification - Recognize shapes, textures, and colors of clouds, understand seasonal and regional variations, and learn about cloud dynamics and formation. Part 3: The Science of Clouds Chapter 6: The Basics of Cloud Formation - Learn about the water cycle, atmospheric layers, and the impact of temperature, pressure, and humidity on cloud formation. Chapter 7: Advanced Meteorology for Cloud Spotters - Understand meteorological instruments, use satellite imagery and Doppler radar, and learn to predict weather through clouds. Part 4: Cloud Spotting as a Lifestyle Chapter 8: Starting Your Cloud Spotting Journey - Discover the best times and places for cloud spotting, the benefits of solo vs. group spotting, and safety tips. Chapter 9: Capturing the Beauty of Clouds - Get photography tips, learn sketching techniques, and share your experiences online. Part 5: The Artistic and Cultural Side of Clouds Chapter 10: Clouds in Art and Media - Explore famous paintings and photographs, literature and film depictions, and how clouds inspire creativity. Chapter 11: Creating Cloud-Inspired Art - Engage in DIY projects, host art shows, and collaborate with others. Part 6: Exploring Rare and Extraordinary Clouds Chapter 12: Chasing Rare Cloud Formations - Tips for spotting and photographing rare formations, personal accounts from experienced spotters, and understanding optical phenomena. Chapter 13: Cloud Spotting Around the World - Discover famous locations for cloud spotting globally, travel tips, and connecting with communities. Part 7: The Future of Cloud Spotting Chapter 14: Clouds and Climate Change - Learn about the impact of climate change on clouds, contribute to citizen science, and explore innovations in observation. Chapter 15: Inspiring Future Cloud Spotters - Teach kids about cloud spotting, start clubs, and build communities. Conclusion: Embracing the Sky - Reflect on the beauty and importance of cloud observation, maintain your interest, and share your passion for cloud spotting. Appendices - Access a glossary of cloud terms, recommended resources, a cloud spotting checklist, and a personal cloud spotting log template. Unlock the beauty and mystery of the skies with HowExpert Guide to Cloud Spotting. Whether you're a beginner or an experienced enthusiast, this guide provides all the tools and knowledge you need to elevate your cloud spotting adventures. Get your copy of HowExpert Guide to Cloud Spotting today and start exploring the ever-changing canvas above! HowExpert publishes how to guides on all topics from A to Z.

Download or read book Fantasy Notebook written by Cloud Tower and published by . This book was released on 2019-08-08 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grab this amazing dog notebook for yourself or someone who loves cute pets. The paperback notebook consists of 120 pages, size 6x9 inches.- 6x9 Notebook- 120 Pages Count- Paperback Cover