Boeken Machine Learning Engineer
Het beroep van Machine Learning Engineer is specialistisch. Het komt erop neer dat er geen duidelijke doorgroeifuncties zijn. Dat gezegd hebbende is het bij de meeste bedrijven natuurlijk mogelijk dat naarmate je kennis en ervaring ontwikkelt op andere gebieden, zoals management of technisch, je alsnog kunt groeien en carrière maken.
Er zijn een hoop verschillende manieren om je te verdiepen in het beroep Machine Learning Engineer. Je kan een opleiding volgen, maar er zijn nog andere laagdrempelige manieren om aan die kennis te komen. Hieronder kan je diverse boeken, Ebooks of DVDs vinden waarmee je meer kan leren over de functie en de inhoud van het beroep Machine Learning Engineer. Er zijn boeken voor de beginner of voor de Machine Learning Engineer die verder wilt ontwikkelen binnen het vakgebied.De 95 beste boeken voor een Machine Learning Engineer:
Machine Learning Design Patterns
Machine Learning Design Patterns - Engels | Paperback | 9781098115784 | 31 oktober 2020 | 400 pagina'sThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will …
Interperetable AI
Interperetable AI - Engels | Paperback | 9781617297649 | 17 oktober 2022 | 275 pagina'sInterpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting-edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and open source libraries. With examples from all major machine learning approaches, this book demonstrates why some approaches …
Python Machine Learning
Python Machine Learning - Engels | Paperback | 9781789955750 | 31 december 2019 | 772 pagina'sThis third edition is updated with TensorFlow 2 and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: reinforcement learning and generative adversarial networks.
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines - Engels | Paperback | 9781098118952 | 30 april 2022 | 446 pagina'sLearn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a …
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch - Engels | Paperback | 9781839213472 | 27 november 2020 | 824 pagina'sStarting from the basics of neural networks, this book covers over 50 applications of computer vision and helps you to gain a solid understanding of the theory of various architectures before implementing them. Each use case is accompanied by a notebook in GitHub with ready-to-execute code and self-assessment questions.
Mastering Machine Learning Algorithms
Mastering Machine Learning Algorithms - Engels | E-book | 9781838821913 | 31 januari 2020 | Adobe ePubUpdated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book …
Machine Learning with R
Machine Learning with R - Engels | Paperback | 9781788295864 | 27 december 2019 | 458 pagina'sA hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition is fully updated to R 3.6 and features newer and better libraries, advice on ethical and …
How to Speak Machine
How to Speak Machine - Engels | E-book | 9780241976616 | 19 november 2019 | Adobe ePubJohn Maeda is one of the world's preeminent thinkers on technology and design, and in How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Machines are already more powerful than we can comprehend, and getting more powerful at …
Machine Learning
Machine Learning - Engels | Hardcover | 9780262018029 | 24 augustus 2012 | 1096 pagina'sA comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers …
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development - Engels | Paperback | 9780443186387 | 25 mei 2023 | 768 pagina'sCheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of …