{"product_id":"practical-automated-machine-learning-on-azure-using-azure-machine-learning-to-quickly-build-ai-solutions-paperback","title":"Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions - Paperback","description":"\u003cp\u003eby \u003cb\u003eDeepak Mukunthu\u003c\/b\u003e (Author), \u003cb\u003eParashar Shah\u003c\/b\u003e (Author), \u003cb\u003eWee Hyong Tok\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDevelop smart applications without spending days and weeks building machine-learning models. With this practical book, youâ ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. \u003c\/p\u003e\u003cp\u003e Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, youâ ll understand how to apply Automated Machine Learning to your data right away. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn how companies in different industries are benefiting from Automated Machine Learning \u003c\/li\u003e\n\u003cli\u003eGet started with Automated Machine Learning using Azure \u003c\/li\u003e\n\u003cli\u003eExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuning \u003c\/li\u003e\n\u003cli\u003eUnderstand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiences \u003c\/li\u003e\n\u003cli\u003eLearn how to get started using Automated Machine Learning for use cases including classification and regression. \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDeepak Mukunthu\u003c\/strong\u003e is a product leader with more than 16 years of experience. With his experience in big data, analytics, and AI, Deepak has played instrumental leadership roles in helping organizations and teams become data-driven and to adopt machine learning. He brings a good mix of thought leadership, customer understanding, and innovation to design and deliver compelling products that resonate well with customers. In his current role of principal program manager of the automated ML in Azure AI platform group at Microsoft, Deepak drives product strategy and roadmap for Automated ML with the goal of accelerating AI for data scientists and democratizing AI for other personas interested in machine learning. In addition to shaping the product direction, he also plays an instrumental role in helping customers adopt Automated ML for their business-critical scenarios. Prior to joining Microsoft, Deepak worked at Trilogy where he played multiple roles--consultant, business development, program manager, engineering manager--successfully leading distributed teams across the globe and managing technical integration of acquisitions.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eParashar Shah\u003c\/strong\u003e is a senior program\/product manager on the Azure AI engineering team at Microsoft, leading big data and deep learning projects to help increase adoption of AI in enterprises especially automated ML with Spark. At Microsoft and at Alcatel-Lucent\/Bell Labs prior to that, his contributions increased global adoption of AI\/analytics platform contributing to customers' growth in retail, manufacturing, telco, and oil and gas verticals. Parashar has an MBA from the Indian Institute of Management Bangalore and a B.E. (E.C.) from Nirma Institute of Technology, Ahmedabad. He also cofounded a carpool startup in India. He has also coauthored \u003cem\u003eHands-On Machine Learning with Azure: Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence\u003c\/em\u003e (Packt), published in November 2018. He has filed for five patents. He has presented at multiple Microsoft and external conferences, including Spark summit and KDD. His interests span the subjects of photography, AI, machine learning, automated ML, big data, and the internet of things (IoT).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWee Hyong Tok\u003c\/strong\u003e is part of the AzureCAT team at Microsoft. He has extensive leadership experience leading multidisciplinary team of engineers and data scientists, working on cutting-edge AI capabilities that are infused into products and services. He is a tech visionary with a background in product management, machine learning\/deep learning and working on complex engagements with customers. Over the years, he has demonstrated that his early thought leadership whitepapers on tech trends have become reality, and deeply integrated into many products. His ability to strategize, and turn strategy to execution, and hunting for customer adoption has enabled many projects that he works on to be successful. He is continuously pushing the boundaries of products for machine learning and deep learning. His team works extensively with deep learning frameworks, ranging from TensorFlow, CNTK, Keras, and PyTorch. Wee Hyong has worn many hats in his career--developer, program\/product manager, data scientist, researcher, and strategist--and his range of experience has given him unique superpowers to lead and define the strategy for high-performing data and AI innovation teams. Throughout his career, he has been a trusted advisor to the C-suite, from Fortune 500 companies to startups.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 196\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.42 x 9.19 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 29, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51760661463328,"sku":"9781492055594","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/4c5109552f4146f810eee8a610fe1067.webp?v=1780186142","url":"https:\/\/ebocreations.com\/products\/practical-automated-machine-learning-on-azure-using-azure-machine-learning-to-quickly-build-ai-solutions-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}