Wydawca: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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Mastering Adobe Captivate 6. Take your e-learning content to the next level with this fantastic guide to mastering Adobe Captivate. You\'ll learn by completing three sample projects that cover everything. If you can use Windows or Mac you can do this course

Damien Bruyndonckx

Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling

Jesus Salcedo

Mastering JavaScript Functional Programming. Write clean, robust, and maintainable web and server code using functional JavaScript and TypeScript - Third Edition

Federico Kereki

BackTrack 5 Wireless Penetration Testing Beginner's Guide. Master bleeding edge wireless testing techniques with BackTrack 5

Vivek Ramachandran

Business Process Driven SOA using BPMN and BPEL. BPMN and BPEL - Go from Business Process Modeling to Orchestration and Service Oriented Architecture with this book and

Matjaz B. Juric, Kapil Pant, Matjaz B Juric

Time Series Analysis with Python Cookbook. Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Tarek A. Atwan

Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis

Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti

Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow

Sudharsan Ravichandiran