Introduction to Blender 3.0Master the basics of 3D modeling for art, architecture, and design by exploring Blender 3.0. This book explains modeling, materials, lighting, painting, and more with Blender and other external tools.
You will configure a 3D architectural environment and set up the workflow of an art and design project within Blender. You will use Blender's main tools - mesh modeling and sculpting - to create virtual objects and environments. And, you will explore building materials and light scenes, followed by drawing and virtual painting. Chapters cover rendering scenes and transforming them into 2D images or videos. You will learn to use Blender 3.0 for video editing as a compositor and video sequence editor (VSE or sequencer) with a wide range of effects available through the nodal system.
On completing this book, you will have the knowledge to create art, design, and architecture with this 3D modeler. ...
Fundamentals of Deep Learning, 2nd EditionWe're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.
The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.
Learn the mathematics behind machine learning jargon; Examine the foundations of machine learning and neural networks; Manage problems that arise as you begin to make networks deeper; Build neural networks that analyze complex images; Per ...
Software Architecture MetricsSoftware architecture metrics are key to the maintainability and architectural quality of a software project and they can warn you about dangerous accumulations of architectural and technical debt early in the process. In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know.
This isn't a book about theory. It's more about practice and implementation, about what has already been tried and worked. Detecting software architectural issues early is crucial for the success of your software: it helps mitigate the risk of poor performance and lowers the cost of repairing those issues. Written by practitioners for software architects and software developers eager to explore successful case studies, this guide will help you learn more about decision and measurement effectiveness.
Through contributions from 10 prominent practitioners, this book shares key software architecture metrics to help you set the ...
How to Lead in Data ScienceHow to Lead in Data Science is full of techniques for leading data science at every seniority level - from heading up a single project to overseeing a whole company's data strategy. Authors Jike Chong and Yue Cathy Chang share hard-won advice that they've developed building data teams for LinkedIn, Acorns, Yiren Digital, large asset-management firms, Fortune 50 companies, and more. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and highlight development areas.
Lead your data science teams and projects to success! To make a consistent, meaningful impact as a data science leader, you must articulate technology roadmaps, plan effective project strategies, support diversity, and create a positive environment for professional growth. This book delivers the wisdom and practical skills you need to thrive a ...
R in Action, 3rd EditionR in Action, 3rd Edition makes learning R quick and easy. That's why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you'll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package.
Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical prob ...
Automated Deep Learning Using Neural Network IntelligenceOptimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.
The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results. The book dives into optimization tuners and the search algorithms they are based on: Evolution search, Annealing search, and the Bayesian Optimization approach. The Neural Architecture Search is covered and you will learn how to develop deep learning models from scratch. Multi-trial and one-shot searching approaches of automatic neural network design ...
Beginning Ansible Concepts and ApplicationLearn the concepts and develop the skills to be a true Ansible artist and use it inside and outside the box. This book applies key concepts immediately while building up your Ansible skills layer by layer through easy to grasp examples and engaging projects. You'll also think about security, why testing is important, and how to use version control safely.
As a beginner to Ansible, you'll be guided step-by-step through creating your first Ansible playbook to deploying your first server and writing more complex cross-dependency playbooks. From the first line of code to the last, you'll constantly iterate and simplify your playbooks, iwhile taking on more complex topics as you construct a full Wordpress website stack consisting of a database, web servers, and load balancer. This book will prompt you to think about how these fit together and will explain what to do to ensure maintainability long into the future.
Don't just use Ansible. Completely change how you go about provisioning, ...
The Conversion Code, 2nd EditionIn this revision, The Conversion Code: A Step-by-Step Guide to Marketing and Sales that Will Grow Your Business Faster, 2nd Edition, digital marketing and lead conversion expert Chris Smith delivers the ultimate exploration of the marketing and advertising tactics that are successfully generating higher quality leads that are easier for salespeople to convert. Smith researches and tests the latest and most popular platforms, including TikTok, YouTube and Instagram, while also studying the most effective sales techniques, tools, and scripts.
In this book, you'll learn to: Increase your lead conversion rate, reduce your cost per lead and improve your overall ROI from marketing and sales; Generate an endless supply of high-quality leads from social media that are easy to convert into closed sales; Stop chasing leads and start attracting clients with amazing marketing and clever ads; Adapt to the consumer privacy changes that have made targeting ads and getting leads to answer the phone ...
The Professional Agile LeaderTo leverage the immense opportunities associated with accelerating change, organizations need teams capable of trying new ideas quickly, learning from their experiences, and adapting based on that learning. Helping these teams to grow and thrive requires agile leaders who support, inspire, and encourage, and who can leave behind the management skills of directing, monitoring, and rewarding or punishing.
The Professional Agile Leader is a realistic, practical guide, written by experienced agile leaders who share their collective experiences in helping agile leaders to grow responsive and adaptive teams. They structure powerful lessons around a case study based on decades of experience helping agile leaders achieve and sustain agile transformation. Best of all, they never settle for high-level hand-waving-they show you how it's really done.
Reignite once-successful organizations that have lost their way; Form cross-functional teams and empower them with purpose; Learn to let go, as ...
Open Workbook of CryptologyEveryone needs a little cryptology.
The problem with crypto is that it has a reputation of being very hard and mysterious, as well as very easy to get wrong. While there are aspects of crypto that are connected to quite modern and complex theories - such as number theory, an old and deep branch of mathematics; complexity theory, a new(er) and subtle branch of computer science; and even quantum computation, a quite new wrinkle on a 100 year-old version of physics which is famously counter-intuitive - that are not particularly friendly to the novice, much of the over-all framing of crypto is perfectly easy to comprehend and to use.
We contend, further, that this straightforward comprehension of the important basics of cryptology is most easily acquired by actually working with cryptographic primitives, by doing actual coding projects to implement, or use others' implementations of, basic cryptographic ideas.
That is the subject of this book.
This version uses Python and some ...