Yuxi (461 results)

Condition: Good. Good condition ex-library book with usual library markings and stickers. Gunter Grossholz; Yuxi Wan (illustrator).

Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Gunter Grossholz; Yuxi Wan (illustrator).

Condition: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects. Gunter Grossholz; Yuxi Wan (illustrator).

Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Gunter Grassholz (illustrator).

Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Gunter Grossholz; Yuxi Wan (illustrator). …

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: Good. Take tiny steps to enter the big world of data science through this interesting guide About This Book ? Learn the fundamentals of machine learning and build your own intelligent applications ? Master the art of building your own machine learning systems with this example-based practical guide ? Work with important classification and regression algorithms and other machine learning techniques Who This Book Is For This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed. What You Will Learn ? Exploit the power of Python to handle data extraction, manipulation, and exploration techniques ? Use Python to visualize data spread across multiple dimensions and extract useful features ? Dive deep into the world of analytics to predict situations correctly ? Implement machine learning classification and regression algorithms from scratch in Python ? Be amazed to see the algorithms in action ? Evaluate the performance of a machine learning model and optimize it ? Solve interesting real-world problems using machine learning and Python as the journey unfolds In Detail Data 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. This 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. Through 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. Style and approach This book is an enticing journey that starts from the very basics and gradually picks up pace as the story unfolds. Each concept is first succinctly defined in the larger context of things, followed by a detailed explanation of their application. Every concept is explained with the help of a project that solves a real-world problem, and involves hands-on work?giving you a deep insight into the world of machine learning. With simple yet rich language?Python?you will understand and be able to implement the examples with ease.…

Condition: New. Multiple Copies Available - New Condition - Never Used - DOES NOT INCLUDE ANY CDs OR ACCESS CODES IF APPLICABLE. Gunter Grossholz; Yuxi Wan (illustrator).

Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Gunter Grassholz (illustrator).

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Liao, Yuxi (illustrator).

hardcover. Condition: Very Good. Dust Jacket Condition: Includes dust jacket. Gunter Grassholz (illustrator).

Condition: New. Liao, Yuxi (illustrator).

Paperback. Condition: new. Paperback. Countess-turned-advice columnist Amelia Amesbury has a wedding to plan alongside a new murder in this charmingly deadly historical mystery.Countess Amelia Amesbury has her work cut out. As well as balancing her alter ego-secret advice columnist, Lady Agony-and the blackmailer threatening to reveal her real identity, her sister has also announced she's getting married. It's joyous news, but places all the planning for a high society wedding firmly at Amelia's door.Luckily, her good friend and local vicar Mr. Cross has agreed to the expedited nuptials, so that's one less thing to worry about. Until Cross is found dead at the church. Now in between bridal arrangements, Amelia must follow the clues Mr. Cross left behind.Clearly, he'd made some enemies during his parishioner work, as strange mishaps begin to occur wherever Amelia goes. But when the danger becomes all too real, Amelia must rely on her friends and the handsome Simon Bainbridge to help solve the murder, save the wedding, and Amelia's life too . . .Perfect for fans of witty historical mystery and Regency romances with a similar feel to Verity Bright and T.E. Kinsey. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Liao, Yuxi (illustrator).…

Paperback or Softback. Condition: New. Murder in Matrimony. Liao, Yuxi (illustrator). Book.

Paperback. Condition: New. Main. Liao, Yuxi (illustrator).

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Liao, Yuxi (illustrator).

Paperback. Condition: New. Main. Liao, Yuxi (illustrator).

Condition: As New. Unread book in perfect condition. Liao, Yuxi (illustrator).

Condition: New. Liao, Yuxi (illustrator).

Paperback. Condition: New. This book unites Chinese and Western embroidery techniques to create gorgeous practical beadwork jewelry with floral elements that are rich in Chinese culture. The projects range from simple to difficult, giving you a basic yet comprehensive grasp of bead embroidery, and teaching you how to create nearly twenty pieces of unique bead embroidery jewelry to embellish your daily outfits. With this book, you will: ·Master the use of bead embroidery tools, understand the characteristics of different bead embroidery materials, and get started easily. ·Acquire rich hand sewing and hook needle techniques, including more than 20 techniques to lay a solid foundation for making beaded jewelry. ·Learn to embroider nearly 20 different kinds of flowers using a combination of bead embroidery techniques through illustrated tutorials, and make jewelry that incorporates Chinese aesthetics, including earrings, bracelets, necklaces, brooches, hairbands, and clutch bags, bringing the art of bead embroidery into your daily life. ·Experience the beauty of beaded flowers from a Chinese aesthetic perspective, to broaden your creativity and inspire you.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Liao, Yuxi (illustrator).

paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week.

Condition: new. Liao, Yuxi (illustrator).

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. This book unites Chinese and Western embroidery techniques to create gorgeous practical beadwork jewelry with floral elements that are rich in Chinese culture. The projects range from simple to difficult, giving you a basic yet comprehensive grasp of bead embroidery, and teaching you how to create nearly twenty pieces of unique bead embroidery jewelry to embellish your daily outfits. With this book, you will: ·Master the use of bead embroidery tools, understand the characteristics of different bead embroidery materials, and get started easily. ·Acquire rich hand sewing and hook needle techniques, including more than 20 techniques to lay a solid foundation for making beaded jewelry. ·Learn to embroider nearly 20 different kinds of flowers using a combination of bead embroidery techniques through illustrated tutorials, and make jewelry that incorporates Chinese aesthetics, including earrings, bracelets, necklaces, brooches, hairbands, and clutch bags, bringing the art of bead embroidery into your daily life. ·Experience the beauty of beaded flowers from a Chinese aesthetic perspective, to broaden your creativity and inspire you.…

hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.