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Author: Mike Bugembe Publisher: ISBN: 9781781333334 Category : Business & Economics Languages : en Pages : 0
Book Description
Every organisation needs to do something with data to remain competitive. You can hire the most technically competent team, pay for all the top technology, build the most sophisticated algorithms, and yet still fail to see value from data. This book introduces the leadership keys to enable you to meet your strategic objectives.
Author: Mike Bugembe Publisher: ISBN: 9781781333334 Category : Business & Economics Languages : en Pages : 0
Book Description
Every organisation needs to do something with data to remain competitive. You can hire the most technically competent team, pay for all the top technology, build the most sophisticated algorithms, and yet still fail to see value from data. This book introduces the leadership keys to enable you to meet your strategic objectives.
Author: Maverick Lin Publisher: ISBN: 9781710680133 Category : Languages : en Pages : 120
Book Description
Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics.
Author: Jim Mellon Publisher: John Wiley & Sons ISBN: 1119969379 Category : Business & Economics Languages : en Pages : 363
Book Description
Everything you need to know about the most important trend in the history of the world Within most people's lifetimes, the developments in the biotechnology sector will allow us to live increasingly long and healthy lives, as well as provide us with technological innovations that will transform the way we live. But these innovations offer more than just hope for a better life, but hope for better returns too. Financial returns of incredible magnitude await savvy investors and businesspeople who can see the massive changes on the horizon. This book details these fast-moving trends and innovations and offers extensive advice on how to profit from them in business and investing.
Author: Gayle Laakmann McDowell Publisher: CreateSpace ISBN: 9781466208681 Category : Computer programmers Languages : en Pages : 0
Book Description
Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.
Author: Kedeisha Bryan Publisher: Packt Publishing Ltd ISBN: 1837631077 Category : Computers Languages : en Pages : 196
Book Description
Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers Key Features Develop your own brand, projects, and portfolio with expert help to stand out in the interview round Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey. The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions. By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.What you will learn Create maintainable and scalable code for unit testing Understand the fundamental concepts of core data engineering tasks Prepare with over 100 behavioral and technical interview questions Discover data engineer archetypes and how they can help you prepare for the interview Apply the essential concepts of Python and SQL in data engineering Build your personal brand to noticeably stand out as a candidate Who this book is for If you’re an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite.
Author: Rick Mewis Publisher: Independently Published ISBN: Category : Languages : en Pages : 0
Book Description
Are you ready to dive into the exciting world of data science? In today's information-driven society, harnessing the power of data is the key to success. "Introduction to Data Science" is your comprehensive guide to understanding and mastering the fundamentals of this transformative field. In this engaging and accessible book, you will embark on a journey that demystifies data science, taking you from novice to expert in no time. Whether you're a student, a professional seeking a career change, or a curious mind eager to explore the realms of big data, this book is the perfect starting point. With clarity and precision, this book explores the essential concepts, techniques, and tools that form the backbone of data science. From data collection and preprocessing to exploratory data analysis and predictive modeling, you'll gain a solid foundation in every step of the data science workflow. Inside "Introduction to Data Science," you'll discover: 1. Practical explanations: Complex concepts are broken down into easy-to-understand terms, ensuring you grasp the core principles effortlessly. 2. Real-world examples: Engaging case studies and examples from diverse industries bring data science to life, showing you how it is applied in various domains. 3. Hands-on exercises: Put your knowledge into practice with step-by-step exercises and projects that reinforce your learning and sharpen your skills. 4. Cutting-edge techniques: Stay up to date with the latest trends in data science, including machine learning, deep learning, and natural language processing. 5. Ethical considerations: Understand the ethical implications of data science and learn how to navigate privacy concerns, bias, and other ethical challenges. Whether you're interested in predicting stock prices, understanding consumer behavior, or solving complex problems using data, this book equips you with the tools and knowledge to tackle any data science endeavor. Don't miss out on the opportunity to unlock the secrets hidden within data. Grab your copy of "Introduction to Data Science" today and embark on a journey of discovery, innovation, and limitless possibilities. Get ready to unleash the power of data and pave the way for a successful future.
Author: Britannica Educational Publishing Publisher: Britanncia Educational Publishing ISBN: 1622750365 Category : Juvenile Nonfiction Languages : en Pages : 98
Book Description
While cracking a code might seem like something few of us would encounter in our daily lives, it is actually far more prevalent than we may realize. Anyone who has had personal information taken because of a hacked email account can understand the need for cryptography and the importance of encryptionessentially the need to code information to keep it safe. This detailed volume examines the logic and science behind various ciphers, their real world uses, how codes can be broken, and the use of technology in this oft-overlooked field.
Author: Al Sweigart Publisher: No Starch Press ISBN: 1593278225 Category : Computers Languages : en Pages : 419
Book Description
Learn how to program in Python while making and breaking ciphers—algorithms used to create and send secret messages! After a crash course in Python programming basics, you’ll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère cipher. You’ll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, the type of encryption used to secure today’s online transactions, including digital signatures, email, and Bitcoin. Each program includes the full code and a line-by-line explanation of how things work. By the end of the book, you’ll have learned how to code in Python and you’ll have the clever programs to prove it! You’ll also learn how to: - Combine loops, variables, and flow control statements into real working programs - Use dictionary files to instantly detect whether decrypted messages are valid English or gibberish - Create test programs to make sure that your code encrypts and decrypts correctly - Code (and hack!) a working example of the affine cipher, which uses modular arithmetic to encrypt a message - Break ciphers with techniques such as brute-force and frequency analysis There’s no better way to learn to code than to play with real programs. Cracking Codes with Python makes the learning fun!
Author: Mike Bugembe
Author: Mike Bugembe
Author: Maverick Lin
Author: Jim Mellon
Author: Gayle Laakmann McDowell
Author: Kedeisha Bryan
Author: Rick Mewis
Author: Chinmoy Mukherjee
Author: Britannica Educational Publishing
Author: VIJAY MOTIRAM KHADSA
Author: Al Sweigart