Sex Tips for Pandas

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Author :
Publisher : Lulu.com
ISBN 13 : 1447860985
Total Pages : 295 pages
Book Rating : 4.4/5 (478 download)

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Book Synopsis Sex Tips for Pandas by : Brian Luff

Download or read book Sex Tips for Pandas written by Brian Luff and published by Lulu.com. This book was released on 2011-09-15 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special edition of this popular paperback with bonus photo section and a brand new final chapter which brings the story up to date. When scriptwriters Georgina Sowerby and Brian Luff began recording podcasts in their spare bedroom in 2005, they had no way of knowing what an adventure they were embarking upon. Sex Tips for Pandas is the story of a couple from London whose podcasts touched the hearts of thousands and propelled them on a bizarre and comical trip around the world. It's also an intimate, often confessional book about a relationship, and a tantalizing glimpse at the none-too-glamorous side of the entertainment industry. For Brian and Georgina podcasting was an obsessive shared interest, a form of escapism from the real world which became the very glue that held their often difficult and complicated relationship together. Sprinkled throughout with showbiz anecdotes and bitchy behind-the-scenes gossip, Sex Tips For Pandas will amuse you, entertain you and ultimately inspire you.

Pandas for Everyone

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Author :
Publisher : Addison-Wesley Professional
ISBN 13 : 0134547055
Total Pages : 1093 pages
Book Rating : 4.1/5 (345 download)

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Book Synopsis Pandas for Everyone by : Daniel Y. Chen

Download or read book Pandas for Everyone written by Daniel Y. Chen and published by Addison-Wesley Professional. This book was released on 2017-12-15 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning

Deep Learning for Data Architects

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Author :
Publisher : BPB Publications
ISBN 13 : 9355515391
Total Pages : 251 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Deep Learning for Data Architects by : Shekhar Khandelwal

Download or read book Deep Learning for Data Architects written by Shekhar Khandelwal and published by BPB Publications. This book was released on 2023-08-16 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to building and deploying deep learning models with Python KEY FEATURES ● Acquire the skills to perform exploratory data analysis, uncover insights, and preprocess data for deep learning tasks. ● Build and train various types of neural networks, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). ● Gain hands-on experience by working on practical projects and applying deep learning techniques to real-world problems. DESCRIPTION “Deep Learning for Data Architects” is a comprehensive guide that bridges the gap between data architecture and deep learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and deep learning. The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations. By the end of the book, you will be able to use deep learning to solve real-world problems. WHAT YOU WILL LEARN ● Develop a comprehensive understanding of neural networks' key concepts and principles. ● Gain proficiency in Python as you code and implement major deep-learning algorithms from scratch. ● Build and implement predictive models using various neural networks ● Learn how to use Transformers for complex NLP tasks ● Explore techniques to enhance the performance of your deep learning models. WHO THIS BOOK IS FOR This book is for anyone who is interested in a career in emerging technologies, such as artificial intelligence (AI), data analytics, machine learning, deep learning, and data science. It is a comprehensive guide that covers the fundamentals of these technologies, as well as the skills and knowledge that you need to succeed in this field. TABLE OF CONTENTS 1. Python for Data Science 2. Real-World Challenges for Data Professionals in Converting Data Into Insights 3. Build a Neural Network-Based Predictive Model 4. Convolutional Neural Networks 5. Optical Character Recognition 6. Object Detection 7. Image Segmentation 8. Recurrent Neural Networks 9. Generative Adversarial Networks 10. Transformers

Hands-on Scikit-Learn for Machine Learning Applications

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Author :
Publisher : Apress
ISBN 13 : 1484253736
Total Pages : 247 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Hands-on Scikit-Learn for Machine Learning Applications by : David Paper

Download or read book Hands-on Scikit-Learn for Machine Learning Applications written by David Paper and published by Apress. This book was released on 2019-11-16 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine. All applied math and programming skills required to master the content are covered in this book. In-depth knowledge of object-oriented programming is not required as working and complete examples are provided and explained. Coding examples are in-depth and complex when necessary. They are also concise, accurate, and complete, and complement the machine learning concepts introduced. Working the examples helps to build the skills necessary to understand and apply complex machine learning algorithms. Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning. Students of this book will learn the fundamentals that are a prerequisite to competency. Readers will be exposed to the Anaconda distribution of Python that is designed specifically for data science professionals, and will build skills in the popular Scikit-Learn library that underlies many machine learning applications in the world of Python. What You'll LearnWork with simple and complex datasets common to Scikit-Learn Manipulate data into vectors and matrices for algorithmic processing Become familiar with the Anaconda distribution used in data scienceApply machine learning with Classifiers, Regressors, and Dimensionality Reduction Tune algorithms and find the best algorithms for each dataset Load data from and save to CSV, JSON, Numpy, and Pandas formats Who This Book Is For The aspiring data scientist yearning to break into machine learning through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming and very basic applied linear algebra will make learning easier, although anyone can benefit from this book.

Data Visualization with Python and JavaScript

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098111842
Total Pages : 569 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Data Visualization with Python and JavaScript by : Kyran Dale

Download or read book Data Visualization with Python and JavaScript written by Kyran Dale and published by "O'Reilly Media, Inc.". This book was released on 2022-12-07 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries

Python for Data Analysis

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449323626
Total Pages : 466 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2012-10-08 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serves as an introduction to Python for data-intensive applications.

Bayesian Analysis with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1785889850
Total Pages : 282 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Bayesian Analysis with Python by : Osvaldo Martin

Download or read book Bayesian Analysis with Python written by Osvaldo Martin and published by Packt Publishing Ltd. This book was released on 2016-11-25 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power and flexibility of the Bayesian framework About This Book Simplify the Bayes process for solving complex statistical problems using Python; Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises; Learn how and when to use Bayesian analysis in your applications with this guide. Who This Book Is For Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed. What You Will Learn Understand the essentials Bayesian concepts from a practical point of view Learn how to build probabilistic models using the Python library PyMC3 Acquire the skills to sanity-check your models and modify them if necessary Add structure to your models and get the advantages of hierarchical models Find out how different models can be used to answer different data analysis questions When in doubt, learn to choose between alternative models. Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression. Learn how to think probabilistically and unleash the power and flexibility of the Bayesian framework In Detail The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems. Style and approach Bayes algorithms are widely used in statistics, machine learning, artificial intelligence, and data mining. This will be a practical guide allowing the readers to use Bayesian methods for statistical modelling and analysis using Python.

Sex on Earth

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1408193426
Total Pages : 246 pages
Book Rating : 4.4/5 (81 download)

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Book Synopsis Sex on Earth by : Jules Howard

Download or read book Sex on Earth written by Jules Howard and published by Bloomsbury Publishing. This book was released on 2014-10-23 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: A journey of discovery through the ins and outs of reproduction in the animal kingdom 'Written with Bill Bryson–like wit' Booklist 'A writer who blends professional expertise in zoology with charm, wit, and a cockeyed sense of humor. What better guide through nature's red-light district could one ask for?' Natural History Magazine 1,000 million years ago, a sexual revolution occurred on Earth. Sex happened for the first time; from this moment the world became ever more colourful and bizarre, ringing with elaborate songs and dances, epic battles, and rallying cries as the desires of males and females collided, generation after generation. All of your ancestors took part and succeeded – an unbroken chain of sex right back to the dawn of complex life on Earth. Well done you. Well done everything. The world in which we live rings, bleeds, and howls with sex. It's everywhere. Right now warring hordes are locking horns, preening feathers, rampaging lustfully across the savanna, questioning the fidelity of the ones they love. Birds are singing, flowers bloom. A million females choose; a billion penises ejaculate (or snap off); a trillion sperm battle, block and tackle. Written in a brilliantly engaging style by biologist Jules Howard, this fascinating and highly readable work covers the how and why of sex on Earth, in all its diversity. From sperm wars to cuckoldry, hermaphrodites and virgin births, spent males, racy harems, clitoral births, hips, breasts and birdsong, penis-percussion, and those riskiest and most elusive of all traits, monogamy and true love, all this and more is discussed in Sex on Earth, as Jules takes us on a voyage of discovery of the ins and outs of animal reproduction.

From Fu Manchu to Kung Fu Panda

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Author :
Publisher : Hong Kong University Press
ISBN 13 : 9888208691
Total Pages : 281 pages
Book Rating : 4.8/5 (882 download)

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Book Synopsis From Fu Manchu to Kung Fu Panda by : Naomi Greene

Download or read book From Fu Manchu to Kung Fu Panda written by Naomi Greene and published by Hong Kong University Press. This book was released on 2014-06-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the twentieth century, American filmmakers have embraced cinematic representations of China. Beginning with D.W. Griffith’s silent classicBroken Blossoms (1919) and ending with the computer-animated Kung Fu Panda (2008), this book explores China’s changing role in the American imagination. Taking viewers into zones that frequently resist logical expression or more orthodox historical investigation, the films suggest the welter of intense and conflicting impulses that have surrounded China. They make clear that China has often served as the very embodiment of “otherness”—a kind of yardstick or cloudy mirror of America itself. It is a mirror that reflects not only how Americans see the racial “other” but also a larger landscape of racial, sexual, and political perceptions that touch on the ways in which the nation envisions itself and its role in the world. In the United States, the exceptional emotional charge that imbues images of China has tended to swing violently from positive to negative and back again: China has been loved and—as is generally the case today—feared. Using film to trace these dramatic fluctuations, author Naomi Greene relates them to the larger arc of historical and political change. Suggesting that filmic images both reflect and fuel broader social and cultural impulses, she argues that they reveal a constant tension or dialectic between the “self” and the “other.” Significantly, with the important exception of films made by Chinese or Chinese American directors, the Chinese other is almost invariably portrayed in terms of the American self. Placed in a broader context, this ethnocentrism is related both to an ever-present sense of American exceptionalism and to a Manichean world view that perceives other countries as friends or enemies. “From Fu Manchu to Kung Fu Panda chronicles the struggle within Hollywood film to come to grips with American ambivalence toward China as a nation against the backdrop of its current economic and geopolitical ascendancy on the world stage. Reaching back to early film portrayals of Chinatown, Christian missionaries, warlords, and perverse villains bent on world domination, Greene moves from the ‘yellow peril’ to the ‘red menace’ as she examines WWII and Cold War cinema. She also explores the range of film fantasies circulating today, from films about Tibet to Chinese American independent features and the global popularity of kung fu cartoons. This accessible book allows these films to speak to the post 9-11/Occupy Wall Street generation and makes a welcome contribution to debates about Hollywood Orientalism and transnational Chinese film connections.” —Gina Marchetti, author of The Chinese Diaspora on American Screens: Race, Sex, and Cinema “A significant work of filmography, Naomi Greene’s book explores the exotic, at times menacing, but always fantastic images of China flickering on the silver screen of the American imagination. The author writes lucidly, jargon-free, and with the sure-footedness of a seasoned scholar.” —Yunte Huang, author of Charlie Chan: The Untold Story of the Honorable Detective and His Rendezvous with American History

Numerical Computing with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789957222
Total Pages : 676 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Numerical Computing with Python by : Pratap Dangeti

Download or read book Numerical Computing with Python written by Pratap Dangeti and published by Packt Publishing Ltd. This book was released on 2018-12-21 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key FeaturesUse the power of Pandas and Matplotlib to easily solve data mining issuesUnderstand the basics of statistics to build powerful predictive data modelsGrasp data mining concepts with helpful use-cases and examplesBook Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: Statistics for Machine Learning by Pratap DangetiMatplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin YimPandas Cookbook by Theodore PetrouWhat you will learnUnderstand the statistical fundamentals to build data modelsSplit data into independent groups Apply aggregations and transformations to each groupCreate impressive data visualizationsPrepare your data and design models Clean up data to ease data analysis and visualizationCreate insightful visualizations with Matplotlib and SeabornCustomize the model to suit your own predictive goalsWho this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.

The Sex Instruction Manual

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Author :
Publisher : Quirk Books
ISBN 13 : 1594747725
Total Pages : 212 pages
Book Rating : 4.5/5 (947 download)

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Book Synopsis The Sex Instruction Manual by : Felicia Zopol

Download or read book The Sex Instruction Manual written by Felicia Zopol and published by Quirk Books. This book was released on 2014-11-18 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: At Last! A Comprehensive Guide to Sexual Intercourse! Sex is as old as human civilization—so why, after all these years, are the secrets of a rewarding sex life so elusive? Fortunately, The Sex Instruction Manual is here to answer all of your most pressing questions: Why do men fall asleep after achieving orgasm? What’s the G-spot and where can I find it? How can I introduce sex toys into my relationship? Are there really condoms designed for women? And what in the world is “doorknobbing”? You’ll find answers to all of these questions and more, courtesy of author and celebrated “sexpert” Felicia Zopol.

Python Fundamentals for Data Analytics

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Author :
Publisher : BPB Publications
ISBN 13 : 9365892317
Total Pages : 338 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis Python Fundamentals for Data Analytics by : Dr Chandrika M

Download or read book Python Fundamentals for Data Analytics written by Dr Chandrika M and published by BPB Publications. This book was released on 2024-10-24 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Python is a simple, easy-to-learn, and one of the top programming languages across the globe. As a result of advancements in AI, data mining, and numerical computing fields, Python has become a popular programming language catering to various stakeholders. It is a powerful tool for working with a variety of data. This book provides the basics of Python and an introduction to data analytics. This book offers a complete introduction to Python programming, covering everything from the basics to the advanced topics. It starts by explaining core concepts like syntax and the Python interpreter, then dives into data structures, control flow, functions, and modules. You will also learn about data analysis and visualization with popular libraries like NumPy, Pandas, Matplotlib, and Seaborn. It wraps up with practical case studies, showing how to apply Python in real-world scenarios effectively. The book serves as a step-by-step guide to performing data analysis. Its content is designed so that even a novice can learn and perform data analysis and visualization simply by following the instructions in the book. KEY FEATURES ● The book covers a wide range of topics, from Python fundamentals to advanced data analysis techniques. ● It includes practical exercises and real-world case studies to illustrate the applications of Python for data analysis. ● The book explains complex concepts in a clear and understandable manner. WHAT YOU WILL LEARN ● Understand the basics of programming languages and the role of the Python interpreter. ● Read about different data structures like lists, sets, tuples, and dictionaries, and understand their applications. ● Learn how to work with files in Python, including reading, writing, and appending data. ● Discover how to use NumPy and Pandas for efficient data manipulation and analysis. ● Learn how to create informative visualizations using Matplotlib and Seaborn. WHO THIS BOOK IS FOR This book is designed for students studying UG or PG courses in the computer science and applications domain. Learning Python is a simple way to begin the journey of data analytics. One of the in-demand domains in the job market, and research is data analytics. This book will be helpful for students interested in this domain. TABLE OF CONTENTS 1. Programming Languages and Python Interpreter 2. Python Fundamentals 3. Project Jupyter and JupyterLab Environment 4. Collection Types 5. Conditional Branching 6. Iterating Constructs 7. Functions and Methods 8. Modules 9. File Operations 10. Working with Data 11. Data Visualization 12. Case Studies Appendix I: Abbreviations

The Last Panda

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Author :
Publisher : University of Chicago Press
ISBN 13 : 9780226736280
Total Pages : 350 pages
Book Rating : 4.7/5 (362 download)

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Book Synopsis The Last Panda by : George B. Schaller

Download or read book The Last Panda written by George B. Schaller and published by University of Chicago Press. This book was released on 1993-04-15 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recounts the author's five year study of giant pandas and the problems facing those who are trying to save the species from extinction.

Giant Pandas

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Author :
Publisher : Univ of California Press
ISBN 13 : 0520930169
Total Pages : 329 pages
Book Rating : 4.5/5 (29 download)

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Book Synopsis Giant Pandas by : Don Lindburg

Download or read book Giant Pandas written by Don Lindburg and published by Univ of California Press. This book was released on 2004-08-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The much-loved giant panda, a secretive denizen of the dense bamboo forests of western China, has become an icon worldwide of progress in conservation and research. This volume, written by an international team of scientists and conservationists including Chinese researchers whose work has not been available in English, tells the promising story of how the giant panda returned from the brink of extinction. The most important sourcebook on giant pandas to date, it is the first book since 1985 to present current panda research and the first to place the species in its biological, ecological, and political contexts. More than a progress report on a highly endangered species, Giant Pandas: Biology and Conservation details the combination of scientific understanding, local commitment, and government involvement that has been brought into play and asks what more needs to be done to ensure the panda's survival. The book is divided into four parts—Evolutionary History of the Giant Panda, Studies of Giant Panda Biology, Pandas and Their Habitats, and Giant Panda Conservation. It combines the latest findings from the field and the laboratory together with panel and workshop summaries from a recent international conference. Taken together, the chapters highlight how international cooperation has led to better management in the wild and in captivity. The volume also shows how concepts such as buffer zones, links between forest fragments, multiple-use areas, and cooperation with local people who have a stake in the resources—highly relevant concepts for conservation problems around the world—have been key to the panda's survival.

The Nixon Tapes, 1971-1972

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Author :
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544274156
Total Pages : 797 pages
Book Rating : 4.5/5 (442 download)

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Book Synopsis The Nixon Tapes, 1971-1972 by : Douglas Brinkley

Download or read book The Nixon Tapes, 1971-1972 written by Douglas Brinkley and published by Houghton Mifflin Harcourt. This book was released on 2014 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: The infamous Nixon White House taping system captured 3,700 hours of Oval Office, Cabinet Room, and Camp David conversations between 1971 and 1973, automatically taping every single word spoken. These audio recordings have finally been released over the past decade by the National Archives, yet only fewer than 5% of them have been transcribed and published--until now.

Journey to Become a Google Cloud Machine Learning Engineer

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1803239417
Total Pages : 330 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Journey to Become a Google Cloud Machine Learning Engineer by : Dr. Logan Song

Download or read book Journey to Become a Google Cloud Machine Learning Engineer written by Dr. Logan Song and published by Packt Publishing Ltd. This book was released on 2022-09-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer. The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional. The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together. The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

The Panda's Thumb: More Reflections in Natural History

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Author :
Publisher : W. W. Norton & Company
ISBN 13 : 039334083X
Total Pages : 356 pages
Book Rating : 4.3/5 (933 download)

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Book Synopsis The Panda's Thumb: More Reflections in Natural History by : Stephen Jay Gould

Download or read book The Panda's Thumb: More Reflections in Natural History written by Stephen Jay Gould and published by W. W. Norton & Company. This book was released on 2010-11-29 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Gould is a natural writer; he has something to say and the inclination and skill with which to say it." —P. B. Medawar, New York Review of Books With sales of well over one million copies in North America alone, the commercial success of Gould's books now matches their critical acclaim. The Panda's Thumb will introduce a new generation of readers to this unique writer, who has taken the art of the scientific essay to new heights. Were dinosaurs really dumber than lizards? Why, after all, are roughly the same number of men and women born into the world? What led the famous Dr. Down to his theory of mongolism, and its racist residue? What do the panda's magical "thumb" and the sea turtle's perilous migration tell us about imperfections that prove the evolutionary rule? The wonders and mysteries of evolutionary biology are elegantly explored in these and other essays by the celebrated natural history writer Stephen Jay Gould.