Books with author Pat Jacobs

A highly popular and long-running series that explores the questions that young readers ask about the world around them in an unrivalled child-friendly style. The conversational format is perfect for delivering solid information in a natural, amusing and imaginative way. I Wonder Why Penguins Can't Fly by Pat Jacobs takes a look at the coldest places on Earth – the Poles. Readers will learn about animals that live at the Poles, such as polar bears, penguins and seals; and also discover how plants survive at the Poles, why the polar ice caps are in danger of melting, and how scientists gather important information about the climate and more in the harshest environment.

Learning is a crucial factor in intelligence. The realization of intelligent systems by computers, which are not programmed but trained, is the goal of Artificial Intelligence. Machine learning deals with the necessary methods and algorithms to provide artificial intelligence. These formulate different learning objectives, address diverse application areas, and make different demands on existing data.Anyone who wants to intelligently use more substantial amounts of data to generate added value from them needs an overview of machine learning. On the other hand, a deeper algorithmic understanding is required to estimate effort and to increase success rates through adjustments. The aim of the book is, therefore, to make learners fit for machine learning (theoretical and practical). We will work with Python and related libraries offering open-source and state-of-the-art implementations. Also, we look at aspects of machine learning in the cloud with concrete examples.The "Advanced Machine Learning with Python" teaches the formalization of learning problems, methods for dimensionality reduction and input engineering as well as ensemble methods. Participants will be familiar with the Python Machine Learning tools following the training.Machine learning, as part of artificial intelligence, is about using the right features to construct the right models for solving a specific task. Models are nothing more than the output of algorithms applied to the data.We learn which algorithms exist for which tasks and how we can use them with Scikit-learn in Python. We’ll go through advanced aspects, such as scalability of solutions and the combination of models, as well as discussing deep learning, currently the hottest topic in machine learning.Machine learning doesn’t work for any particular industry; instead, it works in virtually all of them in some way. We have aimed the further education module at all those who are already analyzing data or would like to do more in the future and would like to acquire more competences. If you want to understand how Python can help answer critical questions about your data, you've come to the right place. Whether you are a beginner or want to deepen your knowledge in the field of data science, this book is an indispensable source of information and well worth the time it will take to read. Now is your chance to advance your knowledge of machine learning with the use of Python. What are you waiting for? Get started now!

I Wonder Why Pirates Wore Earrings by Pat JacobsThis brand-new addition to the IWW series is a whirlwind journey through the history of pirates and smugglers, from ancient times all the way to the present day. Readers will learn all about life on board a pirate ship, the jobs that pirates did, how they attacked other ships and stole their cargo, how they were caught and punished, and answers to many more of the best pirate questions. The question and answer format, entertaining illustrations, and open-anywhere format make this perfect for reluctant readers and pirate lovers alike. Arrgh!

Learning is a crucial factor in intelligence. The realization of intelligent systems by computers, which are not programmed but trained, is the goal of Artificial Intelligence. Machine learning deals with the necessary methods and algorithms to provide artificial intelligence. These formulate different learning objectives, address diverse application areas, and make different demands on existing data.Anyone who wants to intelligently use more substantial amounts of data to generate added value from them needs an overview of machine learning. On the other hand, a deeper algorithmic understanding is required to estimate effort and to increase success rates through adjustments. The aim of the book is, therefore, to make learners fit for machine learning (theoretical and practical). We will work with Python and related libraries offering open-source and state-of-the-art implementations. Also, we look at aspects of machine learning in the cloud with concrete examples.The "Advanced Machine Learning with Python" teaches the formalization of learning problems, methods for dimensionality reduction and input engineering as well as ensemble methods. Participants will be familiar with the Python Machine Learning tools following the training.Machine learning, as part of artificial intelligence, is about using the right features to construct the right models for solving a specific task. Models are nothing more than the output of algorithms applied to the data.We learn which algorithms exist for which tasks and how we can use them with Scikit-learn in Python. We’ll go through advanced aspects, such as scalability of solutions and the combination of models, as well as discussing deep learning, currently the hottest topic in machine learning.Machine learning doesn’t work for any particular industry; instead, it works in virtually all of them in some way. We have aimed the further education module at all those who are already analyzing data or would like to do more in the future and would like to acquire more competences. If you want to understand how Python can help answer critical questions about your data, you've come to the right place. Whether you are a beginner or want to deepen your knowledge in the field of data science, this book is an indispensable source of information and well worth the time it will take to read. Now is your chance to advance your knowledge of machine learning with the use of Python. What are you waiting for? Get started now!

Professor Philip Mortimer has decided to spend his holidays in Cairo with his trusty servant, Nasir. There he plans to meet his old friend, Professor Ahmed Rassim Bey, who offers him the fantastic opportunity of satisfying his passion for Egyptology. Professor Bey has invited him to take part in deciphering his latest discoveries—in this case, some papyrus coming from mummies of the Ptolemaic age. Mortimer and Bey soon realize that one of the fragments deals with the “Chamber of Horus,” a fabled crypt that could contain priceless treasures...

From where they sleep to what they eat and how you can make them feel safe and at home, this book gives you all the pet care advice you need to become a hamsters best pal. Learn the inside information on how hamsters communicate, what games they like to play, and how to understand their behavior, so you can build a bond with your pet that will last a lifetime.

What is a mammal? What did the first mammals look like? How do mammals survive in their environments? This book is sure to answer many readers’ questions about the evolution of mammals and how they can be classified. Readers will learn important life science concepts from life cycles to migration. The book discusses mammal adaptations, such as polar bears keeping warm and fennec foxes keeping cool. Color photographs supplement fascinating text to hook readers’ attention. Diagrams and sidebars are sure to add to the learning experience. From huge elephants to tiny bumblebee bats, this book gives a great overview of the magnificent world of mammals.

From ostriches to pigeons, there are many kinds of birds on Earth. How did they evolve? How have they changed to fit their environment? This book answers these questions and more as it brings readers face to face with birds of all sizes, shapes, and abilities. Readers will learn about early birds, such as the Archaeopteryx, and what we’ve learned from their fossils. They’ll also learn about the classifications for birds that are alive today, such as perching birds, raptors, and flightless birds. Colorful pictures, diagrams, and sidebars take readers on an adventure to meet these amazing feathered friends.