Category: Computer Science & Computer Engineering

Computer Science & Computer Engineering

Modeling Count Data using Stata [Video] 0

Modeling Count Data using Stata [Video]

Modeling Count Data using Stata [Video] English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 4h 40m | 1.25 GB eLearning | Skill level: All Levels Modeling Count Data using Stata [Video]: Learn Poisson and negative binomial regression techniques The course is divided into two parts. In the first part, you’ll be introduced to the theory behind count models in an intuitive way while keeping the math at a minimum. The course starts with an overview of count tables, where...

Deep Reinforcement Learning in Action 0

Deep Reinforcement Learning in Action

eBook Details: Paperback: 384 pages Publisher: WOW! eBook; 1st edition (May 12, 2020) Language: English ISBN-10: 1617295434 ISBN-13: 978-1617295430 eBook Description: Humans learn best from feedback – we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical...

Machine Learning with R, the tidyverse, and mlr 0

Machine Learning with R, the tidyverse, and mlr

eBook Details: Paperback: 536 pages Publisher: WOW! eBook; 1st edition (March 31, 2020) Language: English ISBN-10: 1617296570 ISBN-13: 978-1617296574 eBook Description: Machine Learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming...

Succeeding with AI 0

Succeeding with AI

eBook Details: Paperback: 288 pages Publisher: WOW! eBook; 1st edition (March 31, 2020) Language: English ISBN-10: 1617296937 ISBN-13: 978-1617296932 eBook Description: Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for Artificial Intelligence (AI) projects to ensure they are predictable, successful, and profitable. It’s filled with...

Build a Career in Data Science 0

Build a Career in Data Science

eBook Details: Paperback: 354 pages Publisher: WOW! eBook; 1st edition (March 24, 2020) Language: English ISBN-10: 1617296244 ISBN-13: 978-1617296246 eBook Description: You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job, to the lifecycle of a data science project, and even how to become a manager. Harvard Business Review called data science “the sexiest job of the 21st century.” From analyzing drug trials...