Azevedo leonardo (156 Ergebnisse)

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

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

Zustand: New. Azevedo, Leonardo (illustrator).

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

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

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

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

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

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

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

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

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

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

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

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

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

Paperback. Zustand: new. Paperback. What do parents do all day after they say goodbye?In this heartwarming picture book, a young child imagines all the places a parent might go after school drop-off. Through playful rhymes and beautifully illustrated scenes, Where Do You Go When You're Not With Me celebrates the love that remains even when families spend time apart.As the story unfolds, children discover that while parents may have different kinds of work and responsibilities, they are always connected by love, and always looking forward to being together again.Created for children ages 2 to 6, this story opens the door to meaningful conversations about work, family, curiosity, empathy, and the many ways people care for one another. The book concludes with an author's note and simple conversation starters designed to help families, caregivers, and early childhood educators continue the dialogue long after the last page is turned.Perfect for: Working familiesPreschool and kindergarten classroomsBedtime and family readingGifts for new parents, grandparents, and caregiversHelping children navigate daycare, preschool, and time apart with confidenceBecause every goodbye is followed by the joy of coming back together. 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. Zustand: Brand New. 244 pages. 9.00x6.00x0.58 inches. In Stock.

Zustand: New.

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

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

Zustand: As New. Unread book in perfect condition.

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

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

Zustand: New.

Zustand: New.

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

Paperback. Zustand: 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.…

Zustand: New.

Paperback. Zustand: 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.…