{"product_id":"building-machine-learning-and-deep-learning-models-on-google-cloud-platform-a-comprehensive-guide-for-beginners-paperback","title":"Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEkaba Bisong\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTake 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.\u003c\/p\u003e\u003cp\u003eAuthor 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eBuilding Machine Learning and Deep Learning Models on Google Cloud Platform\u003c\/i\u003e\u003c\/b\u003e 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.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand 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 results\u003c\/li\u003e\n\u003cli\u003eKnow the programming concepts relevant to machine and deep learning design and development using the Python stack\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBuild and interpret machine and deep learning models\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBe aware of the different facets and design choices to consider when modeling a learning problem\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProductionalize machine learning models into software products\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBeginners 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\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTake 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.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAuthor 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.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBuilding 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.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou will: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand 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 results\u003c\/li\u003e\n\u003cli\u003eKnow the programming concepts relevant to machine and deep learning design and development using the Python stack\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBuild and interpret machine and deep learning models\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBe aware of the different facets and design choices to consider when modeling a learning problem\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProductionalize machine learning models into software products\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEkaba Bisong\u003c\/b\u003e is a Data Science Lead at T4G. He previously worked as a data scientist\/data engineer at Pythian. In addition, he maintains a relationship with the Intelligent Systems Labs at Carleton University with a research focus on learning systems (encompassing learning automata and reinforcement learning), machine learning, and deep learning. He is a Google Certified Professional Data Engineer and a Google Developer Expert in machine learning.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 709\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.48 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 28, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212673433849,"sku":"9781484244692","price":59.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/UkxpVTFud2Z2S1dqcUtPc2w1TmVsZz09.webp?v=1768094969","url":"https:\/\/bookscloud.io\/products\/building-machine-learning-and-deep-learning-models-on-google-cloud-platform-a-comprehensive-guide-for-beginners-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}