{"product_id":"9781789806076","title":"Data Science Algorithms in a Week : Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition (2ND)","description":"\u003cp\u003eBuild a strong foundation of machine learning algorithms in 7 days\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eUse Python and its wide array of machine learning libraries to build predictive models\n\u003cbr\u003eLearn the basics of the 7 most widely used machine learning algorithms within a week\n\u003cbr\u003eKnow when and where to apply data science algorithms using this guide\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionMachine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well.\n\u003cbr\u003eData Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and time-series analysis.\n\u003cbr\u003eBy the end of this book, you will understand how to choose machine learning algorithms for clustering, classification, and regression and know which is best suited for your problemWhat you will learn\u003c\/p\u003e\n\n\u003cp\u003eUnderstand how to identify a data science problem correctly\n\u003cbr\u003eImplement well-known machine learning algorithms efficiently using Python\n\u003cbr\u003eClassify your datasets using Naive Bayes, decision trees, and random forest with accuracy\n\u003cbr\u003eDevise an appropriate prediction solution using regression\n\u003cbr\u003eWork with time series data to identify relevant data events and trends\n\u003cbr\u003eCluster your data using the k-means algorithm\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forThis book is for aspiring data science professionals who are familiar with Python and have a little background in statistics. You'll also find this book useful if you're currently working with data science algorithms in some capacity and want to expand your skill set\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":48813893386475,"sku":"00000_00000_00000_00000","price":84.21,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9781789806076-1.jpg?v=1781704248","url":"https:\/\/kinokuniya.com.sg\/ja\/products\/9781789806076","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}