Shailendra Kadre – författare

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Understand the principles and practices of machine learning and deep learning 

This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.

Coverage includes:

Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory

Understand the principles and practices of machine learning and deep learning

This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.

Coverage includes:

Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory

Going Corporate: A Geek's Guide shows technology workers how to gain the understanding and skills necessary for becoming an effective, promotable manager or sought-after consultant or freelancer. Technology professionals typically dive deeply into small pieces of technology—like lines of code or the design of a circuit. As a result, they may have trouble seeing the bigger picture and how their work supports an organization’s goals. But ignoring or dismissing the business or operational aspects of projects and products can lead to career stagnation. In fact, understanding the larger business environment is essential for those who want a management job, a consulting gig, or to one day start a business. It’s also essential for those who have been promoted and find themselves flailing for lack of a business education. Going Corporate: A Geek's Guide to the rescue! This book is designed to help readers gain management skills, insight, and practical understanding of essential business and operational topics. Readers will learn to develop project and program management skills, deliver service efficiently and improve processes, implement governance, analyze financial statements, and much more. After reading this book, technology professionals will understand such things as enterprise architecture, IT operations management, strategic and financial management—and how each relates to the others. Detailed case studies help cement an understanding of how an IT organization and its workers succeed in the 21st century. This book: Illustrates how pieces of the business puzzle fit together to form a robust enterprise Prepares readers to get promoted into management Explains the key management skills and knowledge required for a successful IT career

Going Corporate: A Geek''s Guide shows technology workers how to gain the understanding and skills necessary for becoming an effective, promotable manager or sought-after consultant or freelancer.

Technology professionals typically dive deeply into small pieces of technology—like lines of code or the design of a circuit. As a result, they may have trouble seeing the bigger picture and how their work supports an organization’s goals. But ignoring or dismissing the business or operational aspects of projects and products can lead to career stagnation. In fact, understanding the larger business environment is essential for those who want a management job, a consulting gig, or to one day start a business. It’s also essential for those who have been promoted and find themselves flailing for lack of a business education.

Going Corporate: A Geek''s Guide to the rescue! This book is designed to help readers gain management skills, insight, and practical understanding of essential business and operational topics. Readers will learn to develop project and program management skills, deliver service efficiently and improve processes, implement governance, analyze financial statements, and much more. After reading this book, technology professionals will understand such things as enterprise architecture, IT operations management, strategic and financial management—and how each relates to the others. Detailed case studies help cement an understanding of how an IT organization and its workers succeed in the 21st century. This book:

Illustrates how pieces of the business puzzle fit together to form a robust enterprise Prepares readers to get promoted into management Explains the key management skills and knowledge required for a successful IT career

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations.

The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life.

Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes:

More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries.Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.

Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life.Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes:More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries.Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

This book is a comprehensive guide to mastering Natural Language Processing (NLP), a rapidly growing field in AI-powered text and data analytics. It equips you with tools and techniques to extract valuable insights from both structured and unstructured data, enabling you to uncover insights beyond the reach of traditional data analysis methods and stay competitive in this evolving domain.The book starts with foundational concepts, such as collecting and extracting data for NLP projects, before progressing to advanced topics like applications of transfer learning in NLP and Large Language Models (LLMs). Each chapter emphasizes real-world applications and includes practical case studies to ensure the knowledge is immediately applicable. Throughout the book, readers will find Python code demonstrations, hands-on projects, and detailed explanations of key concepts. Special features include business use cases from industries like healthcare and customer service, practice exercises to reinforce learning, and explorations of emerging NLP technologies. These elements make the book not only informative but also highly engaging and interactive.By the end of the book, the reader will have a solid foundation in Generative AI techniques to apply them to complex challenges. Whether you’re a budding data scientist or a seasoned professional, this guide will help you harness the power of AI-driven text and data analytics effectively.What you will learn:Understand NLP with easy-to-follow explanations, examples, and Python implementations.Explore techniques such as transformers, word embeddings, and pragmatic analysis in real-world contexts.Work with real-world datasets and apply pre-processing, tokenization, and text extraction using NLP libraries.How to build complete NLP pipelines from data collection to model implementation, including sentiment analysis and chatbots.Learn state-of-the-art methods like deep learning techniques in NLP, large language models (LLMs), and zero-shot learning in NLP.Who this book is for:This book is tailored for data scientists, machine learning engineers, AI practitioners, and software developers seeking to learn NLP techniques and apply them to solve problems.