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:

Time Series Forecasting in Python
Time Series Forecasting in Python - Engels | Paperback | 9781617299889 | 10 november 2022 | 456 pagina'sTime Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use …

Radically Human
Radically Human - Engels | E-book | 9781647821098 | 26 april 2022 | Adobe ePubTechnology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom …

Interpretable Machine Learning
Interpretable Machine Learning - Engels | Paperback | 9780244768522 | 28 februari 2020 | 318 pagina'sThis book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining …

The Hundred-Page Machine Learning Book
The Hundred-Page Machine Learning Book - Engels | Paperback | 9781999579500 | 01 januari 2019 | 160 pagina's
Python Artificial Intelligence Projects for Beginners
Python Artificial Intelligence Projects for Beginners - Engels | Paperback | 9781789539462 | 31 juli 2018 | 162 pagina'sThis book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Engels | Paperback | 9781801819312 | 23 december 2022 | 774 pagina'sFully updated with PyTorch 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: transformers and graph neural networks.

Freehand Machine Embroidery
Freehand Machine Embroidery - Engels | Paperback | 9781446301869 | 02 augustus 2012 | 128 pagina'sBreak the rules with a sewing style that's all about irresistibly rough edges, uneven stitching and mismatched fabric!

Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning - Engels | Paperback | 9781491989388 | 30 april 2018 | 300 pagina'sThis practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction …

Probabilistic Machine Learning
Probabilistic Machine Learning - Engels | Hardcover | 9780262046824 | 01 maart 2022 | 944 pagina'sA detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), …

How to Grow a Robot
How to Grow a Robot - Engels | Hardcover | 9780262043731 | 28 april 2020 | 384 pagina'sHow to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery-but they aren't good conversationalists. It's difficult to make eye contact. If the …