English | 2022 | ISBN: 3031071948 | 181 pages | True PDF EPUB | 5.79 MB
What made it possible for the human species to conquer the world, build a global digital economy, and still want more? What drives technological progress and economic growth in the long run and on a global scale? And how will technological progress, economic growth, and the overall prosperity of human civilization unfold in the future?

I Wish I'd Known This: 6 Career-Accelerating Secrets for Women Leaders by Brenda Wensil, Kathryn Heath
English | August 16th, 2022 | ISBN: 152300097X | 216 pages | True EPUB | 1.64 MB

Carole Griggs PhD and Ted Strauss, "iConscious: Accelerating Human Potential"
English | 2019 | ISBN: 1712930990 | ASIN: B0824VQ1YD | EPUB | pages: 279 | 2.8 mb
Do you want to awaken your consciousness, accelerate your personal development, or help others grow quickly? This book is a compact, comprehensive, engaging, and easy-to-understand overview of the full extent and depth of conscious human development as seen through the iConscious model. It offers clear definitions and hundreds of examples, quotes, images, anecdotes, and practices to help you understand how to most directly evolve through 14 different stages in the domains of Consciousness, Uniqueness, Mind, Emotions, and Body. Reading this book will simplify and streamline your personal development, remove obstacles, and open doorways to deep and lasting fulfillment.

English | 2022 | ISBN: 0367693410 | 442 pages | True PDF | 91.33 MB
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field.

English | 2022 | ISBN: 1801815690 | 284 pages | True PDF EPUB | 17.61 MB
Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud

English | 2022 | ISBN: 1801070911 | 320 pages | True PDF EPUB | 48.94 MB
Drive digital transformation for nonprofits with well-organized volunteer management, donor engagement, fundraising, and grantmaking using the intelligent and powerful capabilities of Salesforce Nonprofit Cloud

English | 2022 | ISBN: 1803248602 | 520 pages | True PDF EPUB | 61.32 MB
Build high-performance CI/CD pipelines that are powered by AWS and the most cutting-edge tools and techniques

English | 2022 | ISBN: 1801818967 | 560 pages | True PDF EPUB | 53.11 MB
Implement modern DevOps techniques to increase business productivity, agility, reliability, security, and scalability

English | 2021 | ISBN: 180020521X | 243 pages | True (PDF,EPUB)+ Code | 6.84 MB
Get a comprehensive introduction to the major Angular framework rewrite known as Angular Ivy

English | 2022 | ISBN: 9781098118631 | 32 pages | PDF,EPUB | 2.83 MB
Determining the best database infrastructure for digital transformation can be tricky. How your organization stores and provides access to data can determine the success or failure of the entire enterprise. Data silos can't properly serve all your organization's needs. Managing multiple databases requires more maintenance, costs, and complexity. How do you determine the right balance?