As a way of saying thanks you for your purchase, AI Sciences Publishing Company offering you a free eBook in Machine Learning with Python written by the data scientist Alain Kaufmann.
Authors Biography
Daniel Nedal is a data scientist and long-time user of the Python. He currently works as a computer scientist and as a research director at one of the biggest University in Paris.
Peters Morgan is a lecturer at the Data Science Institute at Melbourne University and a long-time user and developer of the Python. He is one of the core developers of some data science libraries in Python. Peter worked also as Machine Learning Scientist at Google for many years.
Book Objectives This book will help you:
Have an appreciation for machine learning and deep learning and an understanding of their fundamental principles.
Have an elementary grasp of machine learning concepts and algorithms. Have achieved a technical background in machine learning and also deep learning
Why this book?
This book is written to help you learn machine learning using Python programming. If you are an absolute beginner in this field, you’ll find that this book explains complex concepts in an easy to understand manner without math or complicated theorical elements. If you are an experienced data scientist, this book gives you a good base from which to explore machine learning application. Topics are carefully selected to give you a broad exposure to machine learning application. While not overwhelming you with information overload. The example and cases studies are carefully chosen to demonstrate each algorithm and model so that you can gain a deeper understand of machine learning. Inside the book and in the appendices at the end of the book we provide you a convenient references.
Download Link:-https://drive.google.com/uc?id=1hnfdwIDd-KpXAhc9NBBcAMeK0WJ-olTr&export=download
Authors Biography
Daniel Nedal is a data scientist and long-time user of the Python. He currently works as a computer scientist and as a research director at one of the biggest University in Paris.
Peters Morgan is a lecturer at the Data Science Institute at Melbourne University and a long-time user and developer of the Python. He is one of the core developers of some data science libraries in Python. Peter worked also as Machine Learning Scientist at Google for many years.
Book Objectives This book will help you:
Have an appreciation for machine learning and deep learning and an understanding of their fundamental principles.
Have an elementary grasp of machine learning concepts and algorithms. Have achieved a technical background in machine learning and also deep learning
Why this book?
This book is written to help you learn machine learning using Python programming. If you are an absolute beginner in this field, you’ll find that this book explains complex concepts in an easy to understand manner without math or complicated theorical elements. If you are an experienced data scientist, this book gives you a good base from which to explore machine learning application. Topics are carefully selected to give you a broad exposure to machine learning application. While not overwhelming you with information overload. The example and cases studies are carefully chosen to demonstrate each algorithm and model so that you can gain a deeper understand of machine learning. Inside the book and in the appendices at the end of the book we provide you a convenient references.
Download Link:-https://drive.google.com/uc?id=1hnfdwIDd-KpXAhc9NBBcAMeK0WJ-olTr&export=download
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