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Read More: Mastering C# and MSSQL

Free Download Andrea Ciani, "Making It Big: Why Developing Countries Need More Large Firms"
English | ISBN: 1464815577 | 2020 | 176 pages | PDF | 3 MB
Economic and social progress requires a diverse ecosystem of firms that play complementary roles. Making It Big: Why Developing Countries Need More Large Firms constitutes one of the most up-to-date assessments of how large firms are created in low- and middle-income countries and their role in development. It argues that large firms advance a range of development objectives in ways that other firms do not: large firms are more likely to innovate, export, and offer training and are more likely to adopt international standards of quality, among other contributions. Their particularities are closely associated with productivity advantages and translate into improved outcomes not only for their owners but also for their workers and for smaller enterprises in their value chains. The challenge for economic development, however, is that production does not reach economic scale in low- and middle-income countries. Why are large firms scarcer in developing countries? Drawing on a rare set of data from public and private sources, as well as proprietary data from the International Finance Corporation and case studies, this book shows that large firms are often born large―or with the attributes of largeness. In other words, what is distinct about them is often in place from day one of their operations. To fill the "missing top" of the firm-size distribution with additional large firms, governments should support the creation of such firms by opening markets to greater competition. In low-income countries, this objective can be achieved through simple policy reorientation, such as breaking oligopolies, removing unnecessary restrictions to international trade and investment, and establishing strong rules to prevent the abuse of market power. Governments should also strive to ensure that private actors have the skills, technology, intelligence, infrastructure, and finance they need to create large ventures. Additionally, they should actively work to spread the benefits from production at scale across the largest possible number of market participants. This book seeks to bring frontier thinking and evidence on the role and origins of large firms to a wide range of readers, including academics, development practitioners and policy makers.

Free Download Make a Node.js Package for Easy App Making by Christopher Topalian
English | November 16, 2024 | ISBN: N/A | ASIN: B0DNC3TNZR | PDF | 6.91 Mb
Node.js makes package making easy. We get to make complex applications with ease, because we can easily package our functions together and link to them anytime we want. This way we only have to change our package one time and all of our project can benefit from any updates to our functions.

Free Download Make a Node.js Package Using Class by Reference by Christopher Topalian
English | November 16, 2024 | ISBN: N/A | ASIN: B0DNDC35ZL | PDF | 6.99 Mb
We utilize Class by reference, which means we are free to name our functions how we like, since we are making a namespace for ourselves. But, we are not stuck making everything in one file. Instead, class by reference means we can build our class by importing the functions into the class file and making our class this way using static.

Magick for Transformation Rituals and alchemy for manifesting your wildest dreams

Read More: Machine Learning with Python

Machine Learning for Imbalanced Data Tackle imbalanced datasets using machine learning and deep learning techniques

Free Download Machine Learning for Imbalanced dаta: Tackle imbalanced datasets using machine learning and deep learning techniques by Kumar Abhishek, Dr Mounir Abdelaziz
English | November 30, 2023 | ISBN: 1801070830 | 344 pages | EPUB | 14 Mb
Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced dataKey FeaturesUnderstand how to use modern machine learning frameworks with detailed explanations, illustrations, and code samplesLearn cutting-edge deep learning techniques to overcome data imbalanceExplore different methods for dealing with skewed data in ML and DL applicationsPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description

Mastering C# and MSSQL

Making It Big Why Developing Countries Need More Large Firms

Make a Node.js Package for Easy App Making

Make a Node.js Package Using Class by Reference

Make It Punchy How to Write Simple Tech Messaging That Wins Hearts, Minds & Markets

Magick for Transformation Rituals and alchemy for manifesting your wildest dreams

Machine Learning with Python

Machine Learning for Imbalanced Data Tackle imbalanced datasets using machine learning and deep learning techniques

Lua for the Curious A Gentle Introduction to Programming

Lua Computer Science