Showing results for "Doing Data Science English"

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.This book:Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software...

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share n...

Are you wasting around 70% of your data science time on pointless preprocessing? Are your complex machine learning models consistently outperformed by simpler ones? You're not alone—the standard practice is broken.In today's data-driven world, the standard machine learning process is a recipe for inefficiency and bias. Teams spend the majority of their project time "cleaning" and manipulating data, often destroying its most informative natural patterns before a model is even built....

★☆**If you are looking to start a new career that is in high demand, then you need to continue reading!**★☆Data scientists are changing the way big data is used in different institutions.Big data is everywhere, but without the right person to interpret it, it means nothing.So where do business find these people to help change their business?You could be that person!It has become a universal truth that businesses are full of data....

Are you ready to dive into the exciting world of Data Science? In today's data-driven society, understanding and harnessing the power of information has become essential for success in any field.This comprehensive guide takes you on a journey through the core principles, methodologies, and applications of Data Science.Topics:Data VisualizationMachine LearningData MiningNatural Language ProcessingArtificial Intelligence

Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key FeaturesMaster the concepts of statistics and ML to interpret models and guide decisionsIdentify valuable AI use cases and manage data science projects from start to finishEmpower top data science teams to solve complex problems and build AI productsPurchase of the print Kind...

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills to use immediatelyPurchase of the print ...

How to compute results with a predefined privacy budget? Are your data science teams using agile approaches (ex: DataOps) for building and deploying data products? Where does data science fit in? How well developed is the vision for Data Science in your organization? Is it sensible to pursue your organization in purely business analysis and data science?This valuable Data Science self-assessment will make you the entrusted Data Science domain assessor by revealing just what you nee...

The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solvin...

This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of ...

Are you thinking of learning more about Machine Learning using R?The overall aim of this book is to give you an overview of the data science applications using R.Data science is the practice of transforming data into knowledge, and R is the most popular open-source programming language used for data science. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary as it's revolutionizing ...

Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platformsKey FeaturesGain a full understanding of the model production and deployment processBuild your first machine learning model in just five minutes and get a hands-on machine learning experienceUnderstand how to deal with common challenges in data science projectsBook DescriptionWhere there’s data, there’...