Leading Agile Teams is a practical and engaging guide to help your organization embrace a more agile mindset. Most organizations work in large groups when trying to find solutions for big problems. Agile teams are different. They get more done by having a small self-organized team focus on the highest priority items. Each big problem is broken down and solved by a small, stable group of dedicated professionals. This book will give you the knowledge and tools you need to create and sustain ...

Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business.Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical think...

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and BeyondArtificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching a...

Learn all about the note-taking technique that improves memory and learning, concentration, time management, and creativity.Included:IntroductionChapter One: The Science of Mind MappingChapter Two: Guidelines for the Mind Mapping ProcessChapter Three: The Structure of the Mind Mapping ProcessChapter Four: Mind Mapping CharacteristicsChapter Five: Understanding the Architecture of Your BrainChapter Six: Uses for Mind MappingCha...

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each ...

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatab...

200+ pages of valuable content!Machines can LEARN?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a wor...

Stay one step ahead of your competitors with proven tips, strategies, and insights from over 30 Kaggle Masters and Grandmasters and become a better data scientist. This new edition features updated content and new chapters on Kaggle Models, time series, and Generative AI competitions. Key FeaturesLearn how Kaggle works to make the most of every competition with winning strategies from 30+ expert KagglersSharpen your modeling skills with feature engineer...

In offices, colleges, and living rooms across the globe, learners of all ages are logging into virtual laboratories, online classrooms, and 3D worlds. Kids from kindergarten to high school are honing math and literacy skills on their phones and iPads. If that weren’t enough, people worldwide are aggregating internet services (from social networks to media content) to learn from each other in “Personal Learning Environments.” Strange as it sounds, the future of education is now as much in t...

Artificial Intelligence is the future that's already here, and it's going to change everything!ChatGPT has exploded onto the scene, and the need to harness the immense power of this phenomenal AI technology is right now!In this book, you'll discover everything you need to know about ChatGPT and how to use it to your advantage and gain a head start on everyone else… before they find out about it too!Including:What is ChatGPT an...

The Evolution of Data Science and the Information Age.Data science is a large vast time period that encompasses a variety of disciplines and standards which includes big data, Artificial Intelligence (AI), data mining and machine learning. The self-discipline of analyzing giant volumes of data recognized as ‘data science’, is relatively new and has grown hand-in-hand with the improvement and widespread adoption of computers. Prior to computers, records used to be ca...

A straightforward, non-technical guide to the next major marketing toolArtificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and a...