{"product_id":"fundamentals-of-data-science-part-iii-machine-learning-9781941043134","title":"Fundamentals of Data Science Part III: Machine Learning","description":"\u003cp\u003e\u003cstrong\u003eIn \u003c\/strong\u003e\u003cstrong\u003ePart III\u003c\/strong\u003e\u003cstrong\u003e of this series, we cover the fundamentals of machine learning, focusing on: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003evalidation methodology (reprint)\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003enearest neighbor, \u003cem\u003ek\u003c\/em\u003e-means, support vector machines, principal component analysis\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003etree-based methods: decision trees, bagging, random forest, boosting, XGBoost\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eartificial neural networks and deep learning\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ereinforcement learning\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eThe focus is on algorithmic development and programming. We code each technique from scratch in Python, using an object-oriented approach. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e","brand":"Cayenne Canyon Press","offers":[{"title":"Default Title","offer_id":50864441786642,"sku":"9781941043134","price":36.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_d06285a4-e295-4463-8b5b-92e5d0cf0db3.jpg?v=1737655692","url":"https:\/\/surprise-castle.myshopify.com\/products\/fundamentals-of-data-science-part-iii-machine-learning-9781941043134","provider":"Surprise Castle","version":"1.0","type":"link"}