Materias:

Tabla de Contenidos: “…Photoshop CS4 for Nature Photographers: A Workshop in a Book; Acknowledgments; About the Authors; Contents; Foreword; Introduction; Chapter 1: Thinking Digitally; Chapter 2: Bridge; Chapter 3: Adobe Camera Raw; Chapter 4: Foundations; Chapter 5: Workflows and First Steps; Chapter 6: Exposure Adjustments; Chapter 7: Color Adjustments; Chapter 8: Composites; Chapter 9: Creative Effects; Chapter 10: Output; Chapter 11: Time-Savers; Appendix A: About the Companion CD; Index…”

Tabla de Contenidos: “…Preliminaries; Contents; Acknowledgments; Introduction; 1 The Natural Born Leader Phenomenon; 2 Self-Assessment: The 108 Skills of Natural Born Leaders; 3 Expand Self-Awareness; 4 Build Rapport; 5 Clarify Expectations Direction; 7 Chart a Course of Leadership Action; 8 Develop Others as Leaders; 9 Build the Base to Gain Commitment; 10 Influence Others to Willingly Follow; 11 Create a Motivating Environment; 12 Freedom Is Fulfilling; Appendix: The 108 Natural Born Leader Skills; Bibliography; Index…”

Materias:

Materias:

Materias:

“…Natural hazard events are able to significantly affect the natural and artificial environment. …”

“…Mechanical and hydraulic soil properties are strongly affected by the degree of saturation, with important consequences for earthen embankments, soil–vegetation–atmosphere interactions, geoenvironmental applications, and risk mitigation. …”

Materias:

Tabla de Contenidos: “…Photoshop CS5 for Nature Photographers: A Workshop in a Book; About the Authors; Contents; Foreword; Introduction; Who Should Use This Book; What's Inside; How to Contact the Authors; Chapter 1: Thinking Digitally; Photographic Techniques; Choosing RAW versus JPEG; Understanding Histograms; Exposure; White Balance in Nature Photography; Color Management; Photographing Images to Composite Later; Aperture and Lightroom; Storage Considerations; Chapter 2: Bridge; Customizing Bridge; Downloading Images; Bridge Views and Workspaces; Sorting and Editing; Additional Features; Mini Bridge…”

Tabla de Contenidos: “…Chapter 1: What is Natural Language Processing? -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing…”

Materias: “…Natural language processing (Computer science)…”

Materias: “…Natural language processing (Computer science)…”

Tabla de Contenidos: “…Hands-On Python Natural Language Processing: Explore tools and techniques to analyze and process text with a view to building real-world NLP applications…”

Tabla de Contenidos: “…Basics. Getting started -- Natural language basics -- NLP on Apache Spark -- Deep learning basics -- Part 2. …”

“…The Earned Value Management Maturity Model® gives you the fundamental tools needed to build an effective Earned Value Management System (EVMS). …”

“…In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe ten characteristics of a mature data science capability. After spending years helping clients such as the US government and commercial organizations worldwide build innovative data science capabilities, Peter Guerra and Dr. …”

“…Gain practical hands-on natural language processing experience using Python Understand how to tokenize text so it can be processed as symbols Learn to convert text and words to vectors using TF-IDF and word2vec Explore dependency parsing, sentiment analysis, and LDA topic modeling Learn to find named entities in text and map them to an external knowledge base Understand the capabilities and limitations of natural language text processing Jonathan Mugan is CEO and co-founder of DeepGrammar, a natural language processing company. …”

Tabla de Contenidos: “…Intro -- inside front cover -- Getting Started with Natural Language Processing -- Copyright -- dedication -- contents -- front matter -- preface -- acknowledgments -- about this book -- Who should read this book -- How this book is organized: A road map -- About the code -- liveBook discussion forum -- Other online resources -- about the author -- about the cover illustration -- 1 Introduction -- 1.1 A brief history of NLP -- 1.2 Typical tasks -- 1.2.1 Information search -- 1.2.2 Advanced information search: Asking the machine precise questions -- 1.2.3 Conversational agents and intelligent virtual assistants -- 1.2.4 Text prediction and language generation -- 1.2.5 Spam filtering -- 1.2.6 Machine translation -- 1.2.7 Spell- and grammar checking -- Summary -- Solution to exercise 1.1 -- 2 Your first NLP example -- 2.1 Introducing NLP in practice: Spam filtering -- 2.2 Understanding the task -- 2.2.1 Step 1: Define the data and classes -- 2.2.2 Step 2: Split the text into words -- 2.2.3 Step 3: Extract and normalize the features -- 2.2.4 Step 4: Train a classifier -- 2.2.5 Step 5: Evaluate the classifier -- 2.3 Implementing your own spam filter -- 2.3.1 Step 1: Define the data and classes -- 2.3.2 Step 2: Split the text into words -- 2.3.3 Step 3: Extract and normalize the features -- 2.3.4 Step 4: Train the classifier -- 2.3.5 Step 5: Evaluate your classifier -- 2.4 Deploying your spam filter in practice -- Summary -- Solutions to miscellaneous exercises -- 3 Introduction to information search -- 3.1 Understanding the task -- 3.1.1 Data and data structures -- 3.1.2 Boolean search algorithm -- 3.2 Processing the data further -- 3.2.1 Preselecting the words that matter: Stopwords removal -- 3.2.2 Matching forms of the same word: Morphological processing -- 3.3 Information weighing -- 3.3.1 Weighing words with term frequency…”