{"product_id":"machine-learning-with-python-mark-j-branson-9781712506578","title":"Machine Learning with Python: A Step-By-Step Guide in Learning from Scratch Machine Learning and Deep Learning with Python, a Practical Learning wit","description":"\u003cstrong\u003eThis book explicitly gives the reader layman's introduction to machine learning \u003c\/strong\u003e\u003cstrong\u003ewith implementation in python libraries particularly using scikit learn and \u003c\/strong\u003e\u003cstrong\u003eTensor flow.\u003c\/strong\u003e \u003cem\u003eWe will learn about machine learning and its subset deep learning in detail along with program codes that will give a good overview for the developers. We will also discuss in detail about different machine learning algorithms like support vector machine, Linear regression method in detail with python examples. In the second part of the book, we will deal with neural networks and implement them using Tensor Flow. This book is easily understood and deals with complex concepts explained in a simple way such that beginners can understand it easily. \u003c\/em\u003e\u003cstrong\u003eHere we describe the most important topics explained in the book in no particular order: \u003c\/strong\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- A brief introduction to machine learning with a small known history andterminology that is closely related to machine learning.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- We will then give a brief project structure of machine learning that can beused to understand the process that goes on with a data science project.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- Then the book describes in detail about regularization and how to fit amodel into the data.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e - In the next chapter, we will deal with gradient descent and optimizationwith python implementation.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- We will then learn about feature engineering, data preprocessing methods, cross-validation, and hyperparameter tuning in detail with python codeimplementation.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- The last section of the first part deals with machine learning algorithmsand their implementation in detail.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- The second part starts with a brief introduction to neural networks andneurons\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- The next two chapters will help us understand the complexity andimportance of neural networks. We will also build a neural network usingpython in this chapter.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e- The last chapter deals with huge data sets like webpages. We will introducepage ranking algorithm and its simplicity.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cstrong\u003eWhat are you waiting for? BUY NOW this machine learning book for data science.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Mark J. Branson\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1712506579\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781712506578\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/27\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 216\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.65lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.46d","brand":"Mark J. Branson","offers":[{"title":"Paperback","offer_id":43941594857727,"sku":"9781712506578","price":14.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_4923accd-6a93-4186-8cf1-de9ae0466159.jpg?v=1681453831","url":"https:\/\/www.whiterainbookhouse.com\/products\/machine-learning-with-python-mark-j-branson-9781712506578","provider":"WR Book House","version":"1.0","type":"link"}