Grigorev alexey (16 Ergebnisse)

Paperback. Zustand: Good. The only way to learn is to practice! In   Machine Learning Bookcamp, you?ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you?ve learned in previous chapters. By the end of the bookcamp, you?ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technologyMachine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that?s exactly what you?ll be doing in   Machine Learning Bookcamp. about the bookIn   Machine Learning Bookcamp  you?ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you?ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You?ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you?re done working through these fun and informative projects, you?ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.   what's inside Code fundamental ML algorithms from scratchCollect and clean data for training modelsUse popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlowApply ML to complex datasets with images and textDeploy ML models to a production-ready environment about the readerFor readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev  has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.…

Paperback. Zustand: Very Good. The only way to learn is to practice! In   Machine Learning Bookcamp, you?ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you?ve learned in previous chapters. By the end of the bookcamp, you?ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technologyMachine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that?s exactly what you?ll be doing in   Machine Learning Bookcamp. about the bookIn   Machine Learning Bookcamp  you?ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you?ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You?ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you?re done working through these fun and informative projects, you?ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.   what's inside Code fundamental ML algorithms from scratchCollect and clean data for training modelsUse popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlowApply ML to complex datasets with images and textDeploy ML models to a production-ready environment about the readerFor readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev  has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.…

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New.

Zustand: Very Good.

Zustand: New. In English.

Zustand: New. 2017. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. pap/psc edition. 448 pages. 9.25x7.50x1.00 inches. In Stock.

Zustand: NEW.

Zustand: New.

Zustand: New. In English.