Ciaburro / Ayyadevara / Perrier Hands-On Machine Learning on Google Cloud Platform

Implementing smart and efficient analytics using Cloud ML Engine
1. Auflage 2018
ISBN: 978-1-78839-887-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 500 Seiten

No detailed description available for "Hands-On Machine Learning on Google Cloud Platform".

Autoren/Hrsg.

Ciaburro, Giuseppe

Ayyadevara, V Kishore

Ayyadevara, Kishore

Perrier, Alexis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Setting up and Securing the Google Cloud Platform
- Interacting with Google Cloud Platform
- Google Cloud Storage
- Querying your data with BigQuery
- Transforming your data
- Essential Machine Learning
- Google Machine Learning APIs
- Creating Machine Learning Applications with Firebase
- Implementing a Feedforward network with TensorFlow and Keras
- Evaluating results with TensorBoard
- Optimizing your model with HyperTune
- Preventing Overfitting with regularization
- Beyond Feedforward networks
- Time series with LSTMs
- Reinforcement Learning with Tensorflow
- Generative neural networks
- Chatbots

Über Autor(innen)

Ciaburro Giuseppe:
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).Ayyadevara V Kishore:
Kishore Ayyadevara is an entrepreneur and a hands-on leader working at the intersection of technology, data, and AI to identify and solve business problems. With over a decade of experience in leadership roles, Kishore has established and grown successful applied data science teams at American Express and Amazon, as well as a top health insurance company. In his current role, he is building a start-up focused on making AI more accessible to healthcare organizations. Outside of work, Kishore has shared his knowledge through his five books on ML/AI, is an inventor with 12 patents, and has been a speaker at multiple AI conferences.Perrier Alexis:
Alexis Perrier is a data science consultant with experience in signal processing and stochastic algorithms. He holds a master's in mathematics from Universit Pierre et Marie Curie Paris VI and a PhD in signal processing from Tlcom ParisTech. He is actively involved in the DC data science community. He is also an avid book lover and proud owner of a real chalk blackboard, where he regularly shares his fascination of mathematical equations with his kids.