ROCK CRITIC CONFIDENTIAL is the profusely illustrated anthology of rock 'n' roll writing and photography by veteran CREEM Magazine editor Jeffrey Morgan, who is also the authorized biographer of both Alice Cooper and Iggy Pop & The Stooges. This full colour hard cover coffee table size book draws from an extraordinary wealth of Jeffrey Morgan's innovative CREEM Magazine pieces. Discovered in 1974 by influential journalist Lester Bangs, Morgan ended up being CREEM's longest-serving rock critic. Morgan's writing appeared in every single issue of America's Only Rock 'n' Roll Magazine from October 1975 to November 1988, for a grand total of 158 consecutive monthly issues lasting more than thirteen years, plus another seven years writing for the magazine's original website, resulting in a CREEM rock writing reign of over twenty years. ROCK CRITIC CONFIDENTIAL'S centerpiece is Jeffrey Morgan's extensive and definitive interviews, many of which have never been published before in their complete uncensored form. Morgan is well known for taking command of an interview and getting his subjects to open up in a way that they never would for anyone else, as evidenced by his close encounters with heavyweight sparring partners, further enhanced by the added inclusion of dozens of rare, never before seen rock photographs taken by Morgan during the '70s and '80s, including previously unpublished portraits of The Who, Bob Dylan, Elton John, The Rolling Stones, David Bowie, Jeff Beck, Freddie Mercury, KISS, Miles Davis, Paul McCartney, and many others-all captured in their youthful prime. ROCK CRITIC CONFIDENTIAL regenerates the genre by being the first book by a rock critic published in a copiously illuminated paradigm-defining hardcover coffee table edition that sets new nonpareil standards of excellence against which all other rock writing books will forever be gauged. That's not hyperbole, that's a fact because it ain't bragging if you can back it up. Compromising Photos. Third Degree Interrogations. If there's a safe space for rock stars... This isn't it. "Jeffrey, you're a smartass-watch it!" - Iggy Pop, embittered Godfather of Punk "Lies! Lies! Lies!" - Alice Cooper, embittered living legend "Tell Jeffrey from me if he comes to see me personally some time, I'll return the compliment." - Pete Townshend, embittered founding guitarist of The Who "I cordially invite Jeffrey to join us at our Tae Kwan-Do class any day of the week just to say hello to all the guys up here." - Bob Ezrin, embittered record producer of Pink Floyd, Peter Gabriel, Lou Reed, KISS "One of the finest music writers on Earth." - RocksBackpages.com, embittered online library of rock 'n' roll

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business's customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.

An Introduction to Data Science is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using the R programming language and RStudio (R) from the ground up. Short chapters allow instructors to group concepts together for a semester course and provide students with manageable amounts of information for each concept. By taking students systematically through the R programming environment, the book takes the fear out of data science and familiarizes students with the environment so they can be successful when performing advanced functions. The authors cover statistics from a conceptual standpoint, focusing on how to use and interpret statistics, rather than the math behind the statistics. This text then demonstrates how to use data effectively and efficiently to construct models, predict outcomes, visualize data, and make decisions. Accompanying digital resources provide code and datasets for instructors and learners to perform a wide range of data science tasks.

Many companies applying lean use a top-down approach - a person or small group defines the business process in general terms and progressively expands it into more detailed elements. This method fails when the person or small group defining the process lacks the detailed knowledge of the tasks involved to sequence them correctly. Creating Lean Corporations, by Jeffrey Morgan, however, utilizes a bottom-up approach in which the employees who perform the tasks are empowered to create and manage their own portions of the business process. Each task is defined using a task model that indicates the input-output relationships between tasks -- it dictates the sequence that the tasks should be performed within the business process. This approach is essential for creating and improving business processes that are large and complex but still efficient.The author presents three concepts in applying lean principles to an organization: (1) Hierarchies for managing large, complex systems and processes -- A template for all lean organizations is presented that allows functional (horizontal) and process-oriented (vertical) groups to be integrated into a single organizational hierarchy where command-and-control is clear and direct. (2) The use of process models to define the organization's business processes -- A standard method of process modeling that allows business processes to be represented and managed as hierarchies. The benefit of this approach is that process management is implemented in a hierarchical fashion where the level of detail increases as you move down the levels in the hierarchy. (3) A lean, bottom-up approach to business process reengineering - this works much better than traditional top-down approaches on larger, more complex business processes. This lean approach was successfully applied at a major automotive manufacturing company and was awarded the Charles F. Boss Kettering Award as one of the most important technological innovations in 2000.This book is for business process managers (especially lean leaders) who seek to reengineer their business processes using lean principles.