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  • Englisch  (6)
  • Berlin VÖBB/ZLB  (6)
  • Stiftung FVV
  • Filmuniversität Babelsberg
  • Singh, Dueep Jyot  (3)
  • Singh, Pramod  (3)
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  • Englisch  (6)
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  • 1
    Online-Ressource
    Online-Ressource
    Learning Basket Weaving : Traditional and Modern Techniques and Methods (2016)
    Mendon Cottage Books
    Details
    UID:
    kobvindex_ZLB34227466
    ISBN: 9781310227639
    Inhalt: "Table of ContentsIntroductionMaterials for Making the BasketsCane BaseTraditional PatternsStakesBy stakesWeaversFoot borderWalingUpsettingSimple RandingPairingJoining WeaversTrimming the EndsMaintaining the Finished ArticlesSome Traditional Patterns And ProjectsMaking a BaseMaterials You Will NeedExamples – Cross designPopular Traditional Latticework DesignCane Fruit BasketPlaitingHandlesChair SeatConclusionWillow BasketFish trapSmaller basketsAuthor BioPublisherIntroductionTraditional cane basket weavingBasket work, basket weaving, or making containers out of cane is possibly one of the earliest crafts known to man. Archaeologists have found traces in digs, more than 7,000 years old in the Middle East, and anywhere where ancient civilizations settled.These vestiges of baskets showed that these people used baskets as the molds for clay cooking pots. That was because the imprint of the basket weave showed clearly on the clay. Plaited basket work has also been found in the Nile Delta some of which date back as early as 8000 BC.Many museums all over the world have a priceless collection of engine basket work usually shown along with ancient and early poetry and the common factor seems to be that baskets have always been made of any material available that is pliable, native, and the design and the type is going to be largely dependent on the availability of the material.The moment anybody talks about a basket you subconsciously associated with bringing home the shopping as these are nearly always used for carrying or holding things. In fact, I would not be surprised if you have one or 2 of these woven examples in your own house in the shape of lobster pots, especially if you are a looking fisherman, potato baskets to hold vegetables, especially if you are a farmer, decorative baskets for crediting a wine bottle, containers to hold flowers and fruit, containers for your table to hold bread rolls, wicker baskets, waste paper baskets, work baskets, lampshades, baby cribs, pet baskets, picnic campers, and houseplant holders... The uses of such baskets are global and infinite bound only by your creativity and imagination!This book is going to tell you all about how you can introduce yourself to this new satisfying craft, and start basket weaving when you have some leisurely time and energy over the weekend. You are definitely not going to be disappointed at the really attractive and soul satisfying final product and who knows, this may be a start of a beautiful new business!"
    Sprache: Englisch
    URL: https://img1.od-cdn.com/ImageType-200/4051-1/{DF0AD502-E8CB-49D0-BE72-977AE43BA3A5}Img200.jpg
    URL: https://img1.od-cdn.com/ImageType-150/4051-1/DF0/AD5/02/{DF0AD502-E8CB-49D0-BE72-977AE43BA3A5}Img150.jpg
    URL: https://samples.overdrive.com/?crid=df0ad502-e8cb-49d0-be72-977ae43ba3a5&.epub-sample.overdrive.com
    URL: https://api.overdrive.com/v1/collections/v1L1BBQ0AAA2_/products/df0ad502-e8cb-49d0-be72-977ae43ba3a5/metadata
    URL: http://voebb.lib.overdrive.com/ContentDetails.htm?ID=DF0AD502-E8CB-49D0-BE72-977AE43BA3A5
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    Online-Ressource
    Berlin VÖBB/ZLB
  • 2
    Online-Ressource
    Online-Ressource
    Zero Waste : Learning More about Zero Waste and Saying No to Plastics (2019)
    Mendon Cottage Books
    Details
    UID:
    kobvindex_ZLB34279806
    ISBN: 9780463586587
    Inhalt: " Table of Contents Introduction Waking up to the Hazards of Plastic DIY projects– shopping bags Old Jeans Shopping Bag A bit about the Concept of Recycling Making a No Plastic Kitchen The idea of Bulk Buying No Plastic No Waste Home Meal Delivery System Making your own natural traditional containers – eating utensils – round the world trip! Calabash bowl Becoming a Zero Waste Zorro Conclusion Author Bio Publisher Introduction Six years ago, the administration in our city decided that there was going to be a complete ban on plastics, as far as shopping bags and food packaging, in local industries and enterprises were concerned. This decision was hailed in the press and approved by the public, but the business section seemed to be disturbed. How would they do without plastics? Especially for packing/storage, and other purposes? That was six years ago and as it happens in a city where the enforcement is not done strictly, the saying no to plastics idea slowly and steadily went back into limbo, and back everybody went to plastic containers, plastic bags, plastic bottles, plastic jars, because after all it was a multibillion dollar industry, it had managed to permeate all over the world, and no silly small city administration was going to implement their own airy fairy arbitrary decisions when the big bucks were out in full force. About 30 years ago, my mother started up a one lady campaign of saying no to plastic, because she had already seen these plastic bags choking up the rivers of her mountain state. And when she told people that they were not biodegradable and they would never decompose like natural products are going to do, she got looks of lady, going senile, so humor her and listen to what she has to say, with a poker face. And that was the time when she decided that her house was going to be 0 garbage &,0 waste house, the concept of which had not been thought by anybody except the more knowledgeable of environmentalists, who the rest of society called totally weird and crazy. "
    Sprache: Englisch
    URL: https://img1.od-cdn.com/ImageType-200/4051-1/{81FB53C4-4215-4132-A191-685E9C07E06C}Img200.jpg
    URL: https://img1.od-cdn.com/ImageType-150/4051-1/81F/B53/C4/{81FB53C4-4215-4132-A191-685E9C07E06C}Img150.jpg
    URL: https://samples.overdrive.com/?crid=81fb53c4-4215-4132-a191-685e9c07e06c&.epub-sample.overdrive.com
    URL: https://api.overdrive.com/v1/collections/v1L1BBQ0AAA2_/products/81fb53c4-4215-4132-a191-685e9c07e06c/metadata
    URL: http://voebb.lib.overdrive.com/ContentDetails.htm?ID=81FB53C4-4215-4132-A191-685E9C07E06C
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    Online-Ressource
    Berlin VÖBB/ZLB
  • 3
    Buch
    Buch
    Learn TensorFlow 2.0 : implement machine learning and deep learning models with Python (2020)
    New York : Apress
    Details
    UID:
    kobvindex_ZLB34377338
    Umfang: 180 Seiten
    Ausgabe: 1st edition
    ISBN: 9781484255605
    Inhalt: Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters. You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.What You'll LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers.
    Anmerkung: Englisch
    Sprache: Englisch
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    Buch
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  • 4
    Buch
    Buch
    Machine learning with PySpark : with natural language processing and recommender systems (2021)
    New York : Apress
    Details
    UID:
    kobvindex_ZLB34833485
    Umfang: 238 Seiten , 25 cm
    Ausgabe: second edition
    ISBN: 9781484277768
    Inhalt: Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You'll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You'll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You'll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering. A section on Natural Language Processing (NLP) covers text processing, text mining, and embeddings for classification. This new edition also introduces Koalas in Spark and how to automate data workflow using Airflow and PySpark's latest ML library. After completing this book, you will understand how to use PySpark's machine learning library to build and train various machine learning models, along with related components such as data ingestion, processing and visualization to develop data-driven intelligent applications. What you will learn: Build a spectrum of supervised and unsupervised machine learning algorithms. Use PySpark's machine learning library to implement machine learning and recommender systems. Leverage the new features in PySpark's machine learning library. Understand data processing using Koalas in Spark. Handle issues around feature engineering, class balance, bias and variance, and cross validation to build optimally fit models. Who This Book Is For: Data science and machine learning professionals.
    Anmerkung: Englisch
    Sprache: Englisch
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  • 5
    Online-Ressource
    Online-Ressource
    Indoor Gardening for Beginners : Creating Your First Garden Indoors (2016)
    Mendon Cottage Books
    Details
    UID:
    kobvindex_ZLB34478717
    ISBN: 9781370056170
    Inhalt: "Table of ContentsIntroductionThe Right Soil for Your PlantsA Bit of Sand Wanted Right Now!Should I or Should I Not Buy Garden Potted Soil?No Heating/SterilizingPots, Pans, and Saucers...Proper DrainageRe-potting and Potting your PlantsConclusionAuthor BioPublisherIntroductionThis book is for all the people who have always wished to have a garden of their own. But perhaps, due to lack of space outdoors, or maybe a lack of chance to get an opportunity to start gardening, they have not managed to start up on this soul satisfying activity, until now.Somewhere in the 1850s up to the 1900s, children were encouraged in schools to grow gardens under the close supervision of their teachers. That is because it was taken for granted that there was plenty of land outside, where gardening could be taught to the tiny tots, and thus, they could learn all about the delights of gardening outbuildings, at a very young age. For many of these children, gardening became a pleasant activity when they grew up, because they were so used to doing things in the garden, since childhood.But as time went by, and school curriculums changed, teachers began to concentrate more on teaching children ABC's and 123's, rather than encouraging them in outdoor activities. Outdoor activities began to be restricted only to physical training classes and exercises and gardening took a backseat.At home, these children probably did not learn anything about gardening, because their own family members did not have any interest in grubbing in the soil. In fact, even today, if a city child who has never been exposed to gardening is taken into a garden, given a trowel or three-pronged fork and told to dig in the mud, he might consider it to be a very messy business!"
    Sprache: Englisch
    URL: https://img1.od-cdn.com/ImageType-200/4051-1/{63B857F2-263E-4BFD-9888-C9B9645156A4}Img200.jpg
    URL: https://img1.od-cdn.com/ImageType-150/4051-1/63B/857/F2/{63B857F2-263E-4BFD-9888-C9B9645156A4}Img150.jpg
    URL: https://samples.overdrive.com/?crid=63b857f2-263e-4bfd-9888-c9b9645156a4&.epub-sample.overdrive.com
    URL: https://api.overdrive.com/v1/collections/v1L1BBQ0AAA2_/products/63b857f2-263e-4bfd-9888-c9b9645156a4/metadata
    URL: http://voebb.lib.overdrive.com/ContentDetails.htm?ID=63B857F2-263E-4BFD-9888-C9B9645156A4
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  • 6
    Buch
    Buch
    Machine learning with PySpark (2019)
    New York : APress
    Details
    UID:
    kobvindex_ZLB34184053
    Umfang: 223 Seiten , 23,5 cm
    ISBN: 9781484241301
    Inhalt: Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark.Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You'll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification.After reading this book, you will understand how to use PySpark's machine learning library to build and train various machine learning models. Additionally you'll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications.What You Will LearnBuild a spectrum of supervised and unsupervised machine learning algorithmsImplement machine learning algorithms with Spark MLlib librariesDevelop a recommender system with Spark MLlib librariesHandle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit modelWho This Book Is ForData science and machine learning professionals.
    Anmerkung: Englisch
    Sprache: Englisch
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