{"product_id":"practical-machine-learning-with-python-a-problem-solvers-guide-to-building-real-world-intelligent-systems-paperback","title":"Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems - 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\u003eDipanjan Sarkar\u003c\/b\u003e (Author), \u003cb\u003eRaghav Bali\u003c\/b\u003e (Author), \u003cb\u003eTushar Sharma\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eA complete guide of theoretical, technical, and hands-on implementations for practical applications of machine learning across diverse domains in the industry\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eShows how data science and machine learning projects are executed in the real world\u003c\/p\u003e\u003cp\u003eProvides readers with the essential skills to tackle their own real-world problems with machine learning \u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMaster the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. \u003c\/p\u003e\u003cp\u003eThe concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. \u003ci\u003ePractical Machine Learning with Python\u003c\/i\u003e follows a structured and comprehensive three-tiered approach packed with hands-on examples and code.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003ePart 1 focuses on understanding machine learning concepts and tools. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePractical Machine Learning with Python\u003c\/i\u003e will empower you to start solving your own problems with machine learning today!\u003c\/p\u003eYou will: \u003cul\u003e\n\u003cli\u003eExecute end-to-end machine learning projects and systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eImplement hands-on examples with industry standard, open source, robust machine learning tools and frameworks\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eReview case studies depicting applications of machine learning and deep learning on diverse domains and industries\u003c\/li\u003e\n\u003cli\u003eApply a wide range of machine learning models including regression, classification, and clustering.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDipanjan Sarkar\u003c\/b\u003e is a Data Scientist at Intel, on a mission to make the world more connected and productive. He primarily works on data science, analytics, business intelligence, application development, and building large-scale intelligent systems. He holds a master of technology degree in Information Technology with specializations in Data Science and Software Engineering from the International Institute of Information Technology, Bangalore. He is also an avid supporter of self-learning, especially Massive Open Online Courses and also holds a Data Science Specialization from Johns Hopkins University on Coursera. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eDipanjan has been an analytics practitioner for several years, specializing in statistical, predictive, and text analytics. Having a passion for data science and education, he is a Data Science Mentor at Springboard, helping people up-skill on areas like Data Science and Machine Learning. Dipanjan has also authored several books on R, Python, Machine Learning and Analytics, including \u003ci\u003eText Analytics with Python, Apress 2016\u003c\/i\u003e. Besides this, he occasionally reviews technical books and acts as a course beta tester for Coursera. Dipanjan's interests include learning about new technology, financial markets, disruptive start-ups, data science and more recently, artificial intelligence and deep learning. \u003cbr\u003e\u003cp\u003e \u003cb\u003eRaghav Bali\u003c\/b\u003e has a master's degree (gold medalist) in Information \u003c\/p\u003eTechnology from International Institute of Information Technology, Bangalore. He is a Data Scientist at Intel, where he works on analytics, business intelligence, and application development to develop scalable machine learning-based solutions. He has also worked as an analyst and developer in domains such as ERP, finance, and BI with some of the leading organizations in the world.\u003cp\u003e\u003c\/p\u003e \u003cp\u003eRaghav is a technology enthusiast who loves reading and playing around with new gadgets and technologies. He has also authored several books on R, Machine Learning and Analytics. He is a shutterbug, capturing moments when he isn't busy solving problems.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTushar Sharma\u003c\/b\u003e has a master's degree from International Institute of Information Technology, Bangalore. He works as a Data Scientist with Intel. His work involves developing analytical solutions at scale using enormous volumes of infrastructure data. In his previous role, he has worked in the financial domain developing scalable machine learning solutions for major financial organizations. He is proficient in Python, R and Big Data frameworks like Spark and Hadoop.\u003cp\u003e\u003c\/p\u003e \u003cp\u003eApart from work Tushar enjoys watching movies, playing badminton and is an avid reader. He has also authored a book on R and social media analytics.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 530\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.14 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 December 22, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212705251577,"sku":"9781484232064","price":129.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/QVZtcnkyK0R1QUJjNUVPSW1FWFZrZz09.webp?v=1768095112","url":"https:\/\/bookscloud.io\/products\/practical-machine-learning-with-python-a-problem-solvers-guide-to-building-real-world-intelligent-systems-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}