Azevedo Leonardo (156 results)

Paperback or Softback. Condition: New. Where Do You Go When You're Not With Me. Azevedo, Leonardo (illustrator). Book.

Paperback or Softback. Condition: New. The World Is Yours. Paiva, Leonardo Azevedo (illustrator). Book.

Condition: New. Azevedo, Leonardo (illustrator).

Condition: New. Paiva, Leonardo Azevedo (illustrator).

Paperback. Condition: New. Azevedo, Leonardo (illustrator).

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Paiva, Leonardo Azevedo (illustrator).

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Paiva, Leonardo Azevedo (illustrator).

Paperback. Condition: Brand New. 30 pages. 8.50x0.08x8.50 inches. In Stock. Azevedo, Leonardo (illustrator).

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: Brand New. 35 pages. 8.50x0.09x11.00 inches. In Stock. Paiva, Leonardo Azevedo (illustrator).

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. New copy - Usually dispatched within 4 working days.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: new. Paperback. After morning drop-off, one child begins to wonder where their mom goes and what she could possibly be doing all day.Maybe she races through the streets in a cape, leads an orchestra with a wand, rides a sparkly snail, or sails the ocean on a jellybean ship.In this warm, playful rhyming picture book, a familiar goodbye opens into a world of imagination. Behind every wonderfully wild possibility is a reassuring truth: when the child is thinking of their mom, their mom is thinking of them too.Where Do You Go When You're Not With Me invites young readers to become curious about the lives of the people who care for them. It helps families talk about what each person's day is like and how love keeps them connected, even when they're apart.It is perfect for children ages 2 to 6 and for families navigating daycare, preschool, workdays, or travel.The book also includes: A personal author's note about the family experiences and desire for connection that helped shape the storyThoughtful questions for families and caregivers to explore togetherAn "Our Day Together" activity for adding a photo of a child learning about a parent's day A heartwarming picture book about where parents go during the day. Perfect for ages 2-6, it includes an author's note and conversation starters to inspire meaningful dialogue at home, in daycare, and in the classroom. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Azevedo, Leonardo (illustrator).…

Paperback. Condition: Brand New. 244 pages. 9.00x6.00x0.58 inches. In Stock.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. Print on Demand. Paiva, Leonardo Azevedo (illustrator).

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. Print on Demand. Paiva, Leonardo Azevedo (illustrator).

Condition: New.

Condition: New.

Paperback. Condition: New. Azevedo, Leonardo (illustrator).

Paperback. Condition: new. Paperback. This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the theoretical background necessary to the understanding of the presented evolutionary algorithms and their shortcomings, while also discussing themes that are pivotal to the successful application of evolutionary algorithms to real-world problems. The theoretical descriptions are illustrated with didactical Python implementations of the algorithms, which not only allow readers to consolidate their understanding, but also provide a sound starting point for those intending to apply evolutionary algorithms to optimization problems in their working fields. Python has been chosen due to its widespread adoption in the Artificial Intelligence community. Those familiar with high level languages such as MATLAB will not have any difficulty in reading the Python implementations of the evolutionary algorithms provided in the book.Instead of attempting to encompass most of the existing evolutionary algorithms, past and present, the book focuses on those algorithms that researchers have recently applied to difficult optimization problems, such as control problems with continuous action spaces and the training of high-dimensional convolutional neural-networks. The basic characteristics of real-world optimization problems are presented, together with recommendations on its proper application to evolutionary algorithms. The applied nature of the book is reinforced by the presentation of successful cases of the application of evolutionary algorithms to optimization problems. This is complemented by Python source codes, giving users an insight into the idiosyncrasies of the practical application of evolutionary algorithms. This book meant for students, scientists and engineers to help in the application of evolutionary algorithms to practical optimization problems. The presentation of theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: New. This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the theoretical background necessary to the understanding of the presented evolutionary algorithms and their shortcomings, while also discussing themes that are pivotal to the successful application of evolutionary algorithms to real-world problems. The theoretical descriptions are illustrated with didactical Python implementations of the algorithms, which not only allow readers to consolidate their understanding, but also provide a sound starting point for those intending to apply evolutionary algorithms to optimization problems in their working fields. Python has been chosen due to its widespread adoption in the Artificial Intelligence community. Those familiar with high level languages such as MATLABT will not have any difficulty in reading the Python implementations of the evolutionary algorithms provided in the book.Instead of attempting to encompass most of the existing evolutionary algorithms, past and present, the book focuses on those algorithms that researchers have recently applied to difficult optimization problems, such as control problems with continuous action spaces and the training of high-dimensional convolutional neural-networks. The basic characteristics of real-world optimization problems are presented, together with recommendations on its proper application to evolutionary algorithms. The applied nature of the book is reinforced by the presentation of successful cases of the application of evolutionary algorithms to optimization problems. This is complemented by Python source codes, giving users an insight into the idiosyncrasies of the practical application of evolutionary algorithms.…

Condition: New.