- Deep Learning for Beginners
- Dr. Pablo Rivas Laura Montoya
- 237字
- 2021-06-11 18:20:10
About the reviewers
Francesco Azzola is an electronic engineer with over 15 years of experience in computer programming and JEE architecture. He is an IoT and machine learning enthusiast. He loves creating IoT projects using Arduino, Raspberry Pi, Android, ESP, and other platforms. He is the author of Android Things Projects, published by Packt Publishing. He has reviewed several Packt books covering IoT and machine learning. He is interested in the convergence of IoT and mobile applications and the convergence of IoT and machine learning. He is SCEA, SCWCD, and SCJP certified. Previously, he worked in the mobile development field for several years. He has a blog called Surviving with Android, where he writes about coding in IoT and machine learning projects.
Jamshaid Sohail is passionate about data science, machine learning, computer vision, and natural language processing and has more than 2 years of experience in industry. He has worked in a Silicon Valley-based start-up named FunnelBeam, as a data scientist. He has worked with founders of FunnelBeam from Stanford University. Currently, he is working as a data scientist at Systems Limited. He has completed over 66 online courses from different platforms. He authored the book Data Wrangling with Python 3.X for Packt Publishing and has reviewed multiple books and courses. He is also developing a comprehensive course on data science at Educative and is in the process of writing books for multiple publishers.
- Arduino入門基礎(chǔ)教程
- The Applied AI and Natural Language Processing Workshop
- 3ds Max Speed Modeling for 3D Artists
- Svelte 3 Up and Running
- 微服務(wù)分布式架構(gòu)基礎(chǔ)與實(shí)戰(zhàn):基于Spring Boot + Spring Cloud
- Arduino BLINK Blueprints
- Intel Edison智能硬件開發(fā)指南:基于Yocto Project
- Blender Game Engine:Beginner's Guide
- 單片機(jī)原理及應(yīng)用:基于C51+Proteus仿真
- Building Machine Learning Systems with Python
- Drupal Rules How-to
- Blender for Video Production Quick Start Guide
- The Machine Learning Workshop
- 詳解FPGA:人工智能時(shí)代的驅(qū)動(dòng)引擎
- 施耐德M241/251可編程序控制器應(yīng)用技術(shù)