Download or read book Just an Awesome Data Scientist with Goals 2022 Planner written by Rob Publishing and published by . This book was released on 2021-08-24 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2022 Planner is perfect as a personal notebook, journal, or diary. You can use it to set goals, important dates, or deadlines, as well as jotting down notes and ideas. It's also a wonderful gift for a birthday or any other occasion. This planner includes: 2022 calendar (January to December) Important dates page Birthday tracker Beautiful at a glance monthly spread view; 1 month on two pages. For every day, space to write down your goals, tasks, and appointments Password and contact pages Lined & Dot Grid Pages for Notes Details: Large Size 8.5 X 11 inches. High-quality paper. Premium matte cover design 180 pages Get Yours Today!
Download or read book Data Scientist Planner Monthly 2022 written by Elmo Philipe and published by . This book was released on 2021-08-25 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a 2022 day timer planner? This classic planner will help you schedule your appointments and daily activities, plan events, set goals, and get things done. It will also make a great gift for family and friends The Book Contains: 12 months monthly planner 2022 : start from January 2022 to December 2022 Monthly Planner 2022 : One month per each two page spread Printed on quality paper Premium matte cover design Perfectly Large sized at 8.5" x 11" Paperback Best for Christmas gift and New Year gift. It's a perfect gift for family and friends Pages Book Included: * Save Important Contacts : Name, Phone, Mail, Address * Save Important Websites : Domaine name, User Name, Password, Notes * Yearly Birthday Log * Yearly Calendar * Yearly Goals * Monthly Goals * Weekly Vision : To Do task, Appointments, Goals For The week * Vision Board : Date, Task, Notes.... Scroll to the top of the page and click the Add to Cart button.
Download or read book Busy Doing Data Scientist Stuff Planner written by Rs Job Planner and published by . This book was released on 2019-12-23 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Weekly Planner For Data Scientist.Perfect birthday or Christmas Gift or New year Gift for Job Holder Men, Women, Boss, Client, Buyer and Well Wisher.Specifications: Large Letter Size 8.5x11 inches (approximate A4) Slim and light to carry, 115 pages.Have a Great Planner for your Professional Success!
Download or read book I m a Data Scientist to Save Time Let s Assume I m Always Right written by Funny Notebooks and published by . This book was released on 2019-11-06 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Still searching for Big Data Science Data Analyst Programmer design? Make a statement with this I'm A Data Scientist To Save Time Let's Just Assume I'm Always Right design. Makes a great gift for data scientists. Awesome for adults, men, women, kids, boys and girls. A great gift for thanksgiving, a birthday, an anniversary, or any other present occasion. Get this present for the data scientist in your life.
Download or read book The Manager s Path written by Camille Fournier and published by "O'Reilly Media, Inc.". This book was released on 2017-03-13 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager. From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization. Begin by exploring what you expect from a manager Understand what it takes to be a good mentor, and a good tech lead Learn how to manage individual members while remaining focused on the entire team Understand how to manage yourself and avoid common pitfalls that challenge many leaders Manage multiple teams and learn how to manage managers Learn how to build and bootstrap a unifying culture in teams
Download or read book Personalized written by Mark Abraham and published by Harvard Business Press. This book was released on 2024-10-15 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where consumers expect more—instantly and seamlessly—personalization is a strategic imperative. Consumers want personalized experiences, but few companies are rising to the challenge. Those that succeed in personalization build trusted relationships with millions of customers and engage with them at every step throughout their journey. Through the power of AI, they rethink their operations and unleash the creativity of their teams to fine-tune every interaction, delighting customers in the process. But most companies are not doing personalization well, leading to wasted money, squandered effort, and missed expectations. To be done effectively, personalization must be a critical element of an organization's strategy. Personalized is a playbook for delivering true personalization at scale. In this book, Boston Consulting Group's Mark Abraham and Harvard Business School's David C. Edelman describe Five Promises of Personalization: Empower Me: Understand each customer's needs and how best to meet them. Know Me: Win customers' trust and permission to use their data to improve their experience. Reach Me: Reach out to the right customer, in the right channel, at the right time. Show Me: Tailor unique content to be relevant to each customer, enabled by generative AI. Delight Me: Design new ways of working and ensure continuous improvement, so a customer's experience feels magical. With detailed examples across industries—including retail, health care, banking, technology, and travel—this book will help executives learn how to put personalization at the center of their strategy, accelerate growth, and capture their share of the $2 trillion personalization prize.
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Download or read book Understanding by Design written by Grant P. Wiggins and published by ASCD. This book was released on 2005 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is understanding and how does it differ from knowledge? How can we determine the big ideas worth understanding? Why is understanding an important teaching goal, and how do we know when students have attained it? How can we create a rigorous and engaging curriculum that focuses on understanding and leads to improved student performance in today's high-stakes, standards-based environment? Authors Grant Wiggins and Jay McTighe answer these and many other questions in this second edition of Understanding by Design. Drawing on feedback from thousands of educators around the world who have used the UbD framework since its introduction in 1998, the authors have greatly revised and expanded their original work to guide educators across the K-16 spectrum in the design of curriculum, assessment, and instruction. With an improved UbD Template at its core, the book explains the rationale of backward design and explores in greater depth the meaning of such key ideas as essential questions and transfer tasks. Readers will learn why the familiar coverage- and activity-based approaches to curriculum design fall short, and how a focus on the six facets of understanding can enrich student learning. With an expanded array of practical strategies, tools, and examples from all subject areas, the book demonstrates how the research-based principles of Understanding by Design apply to district frameworks as well as to individual units of curriculum. Combining provocative ideas, thoughtful analysis, and tested approaches, this new edition of Understanding by Design offers teacher-designers a clear path to the creation of curriculum that ensures better learning and a more stimulating experience for students and teachers alike.
Download or read book AI Assisted Programming written by Tom Taulli and published by "O'Reilly Media, Inc.". This book was released on 2024-04-10 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs
Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.
Download or read book Python for Data Science written by Ted Wolf and published by Ted Wolf. This book was released on 2022-04-26 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a Python for Data Science crash course and want to come up easily with your first project from scratch in no time? Are you constantly looking for information on social networks (like FB groups) and you don't know where to start with Python programming? If so, then read on! Python is often used in data science today because it is a mature programming language that has excellent properties for beginning programmers. Some of the most notable of these properties are the easy-to-read password, suppression of optional delimiters, dynamic writing, and the use of dynamic memory. Data science uses science strategies to process data and separate information from it. It moves away from an idea similar to Big Data and Data Mining. It requires innovative equipment along with useful calculation and programming to deal with data problems or process data to gain substantial learning from them. The improvement and highly useful research in the world of Computing and Technology have increased the importance of its most basic and essential concepts in a thousand aspects. This notion of principle is what we continuously refer to as data, and that data is the only thing that opens the way for everything in the world. The world's largest organizations and companies have built their creation and their philosophies and determine a unique portion of their pay through data. The value and importance of data can be understood with the simple certainty that a legitimate data storage/distribution center is a million times more profitable than the pure gold mine in the advanced world. However, learning all the required skills to master data science and machine learning could certainly be challenging. BUT DON’T WORRY: In this complete Guide we have condensed all the knowledge you need in a simple and practical way. Through his revolutionary and systematic approach, you will skyrocket your skills, regardless of your previous experience, with the best techniques to manipulate and process datasets, learn in deep the principles of Python programming, and their real-world applications. In this book you are ready to discover: · How to move your first steps in the world of “Python”. I will explain you, with easy to follow visuals, how to exactly install Python on the Mac OS X , Windows and Linux systems. · How to easily setting up your first Data Science project from scratch with Python in less than 7 days. · Practical codes and exercises to use Python. I will explain you the step-by-step process to create games like: “magic 8 ball” and “hangman game”. · How works the regression algorithms used in data science and what are the best tips and tricks to work with them. · How Scikit-Learn library is used in the development of a machine learning algorithm. · And much more! Even if you're still a beginner struggling on how to start projects with Python, this book will surely give you the right information to skyrocket your programming skills to the next level. Keep in mind: “Real progress happens only when advantages of a new technology become available to everybody” (H. Ford). Pick up your own copy today by clicking the BUY NOW button at the top of the page!
Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Download or read book Operating AI written by Ulrika Jagare and published by John Wiley & Sons. This book was released on 2022-04-19 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you’ll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.
Download or read book Great Minds in Regional Science Vol 2 written by Peter Batey and published by Springer Nature. This book was released on 2023-01-01 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second volume in a new series on 'Great Minds in Regional Science,' which seeks to present a contemporary view on the scientific relevance of the work done by great thinkers in regional science. This volume presents, among others, Adam Smith, Johann Heinrich von Thünen, and Alan Wilson. Each chapter combines factual biographical information about the ‘Great Mind,’ a description of their major contributions, and a discussion of the broader context of their work, as well as an assessment of its current relevance, scientific recognition, and policy impact. The book attempts to fill a gap in our knowledge and to respond to the growing interest in the formation and development of the field of regional science and its key influential figures.
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Download or read book Broken Code written by Jeff Horwitz and published by Doubleday. This book was released on 2023-11-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: By an award-winning technology reporter for The Wall Street Journal, a behind-the-scenes look at the manipulative tactics Facebook used to grow its business, how it distorted the way we connect online, and the company insiders who found the courage to speak out "A page-turning narrative of immense importance.” —James B. Stewart, Pulitzer Prize-winning investigative journalist and New York Times bestselling author Once the unrivaled titan of social media, Facebook held a singular place in culture and politics. Along with its sister platforms Instagram and WhatsApp, it was a daily destination for billions of users around the world. Inside and outside the company, Facebook extolled its products as bringing people closer together and giving them voice. But in the wake of the 2016 election, even some of the company’s own senior executives came to consider those claims pollyannaish and simplistic. As a succession of scandals rocked Facebook, they—and the world—had to ask whether the company could control, or even understood, its own platforms. Facebook employees set to work in pursuit of answers. They discovered problems that ran far deeper than politics. Facebook was peddling and amplifying anger, looking the other way at human trafficking, enabling drug cartels and authoritarians, allowing VIP users to break the platform’s supposedly inviolable rules. They even raised concerns about whether the product was safe for teens. Facebook was distorting behavior in ways no one inside or outside the company understood. Enduring personal trauma and professional setbacks, employees successfully identified the root causes of Facebook's viral harms and drew up concrete plans to address them. But the costs of fixing the platform—often measured in tenths of a percent of user engagement—were higher than Facebook's leadership was willing to pay. With their work consistently delayed, watered down, or stifled, those who best understood Facebook’s damaging effect on users were left with a choice: to keep silent or go against their employer. Broken Code tells the story of these employees and their explosive discoveries. Expanding on “The Facebook Files,” his blockbuster, award-winning series for The Wall Street Journal, reporter Jeff Horwitz lays out in sobering detail not just the architecture of Facebook’s failures, but what the company knew (and often disregarded) about its societal impact. In 2021, the company would rebrand itself Meta, promoting a techno-utopian wonderland. But as Broken Code shows, the problems spawned around the globe by social media can’t be resolved by strapping on a headset.
