Über den Autor
Yuxi (Hayden) Liu is a Software Engineer, Machine Learning at Google. He is developing and improving machine learning models and systems for ads optimization on the largest search engine in the world.
Klappentext
Take tiny steps to enter the big world of data science through this interesting guidennnKey Features:Learn the fundamentals of machine learning and build your own intelligent applicationsnMaster the art of building your own machine learning systems with this example-based practical guidenWork with important classification and regression algorithms and other machine learning techniquesnnnnnBook Deillegalscription:nData science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.nnnThis book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms - they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques.nnnThrough this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal.nnnWhat You Will Learn:Exploit the power of Python to handle data extraction, manipulation, and exploration techniquesnUse Python to visualize data spread across multiple dimensions and extract useful featuresnDive deep into the world of analytics to predict situations correctlynImplement machine learning classification and regression algorithms from scratch in PythonnBe amazed to see the algorithms in actionnEvaluate the performance of a machine learning model and optimize itnSolve interesting real-world problems using machine learning and Python as the journey unfoldsnnnnnWho this book is for:nThis book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed.
