MystoreMystore® is an ONDC connected marketplace built in India for Indian sellers. Mystore is the first ONDC network participant to connect as a Buyer and Seller NP.  You can register as a seller on Mystore and upload your catalogue. You will have a dedicated Seller page (digi-catalog) along with a Unique QR Code for your page that you can market to your buyers. Your catalogue will also appear on the ONDC network through the Mystore Buyer App and other buyer apps catering to related product domains. Mystore provides a comprehensive seller dashboard to manage your products, orders, and payouts. Mystore also facilitates seamless online shopping across categories with its Mystore Buyer App.https://www.mystore.in/s/62ea2c599d1398fa16dbae0a/66defda954ce55002beebf8c/mystore-logo-480x480.png
9th Floor, Tower A, Spaze iTech Park, Sector 49122018Gurgaon DivisionIN
Mystore
9th Floor, Tower A, Spaze iTech Park, Sector 49Gurgaon Division, IN
+918010412412https://www.mystore.in/s/62ea2c599d1398fa16dbae0a/66defda954ce55002beebf8c/mystore-logo-480x480.png"[email protected]
68998c2089abd3167b9f13daMachine Learning for Absolute Beginners: A Plain English Introduction (Third Edition)Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home. Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.9789362056863
INR399In Stock
Sanage Publishing House
9789362056863

Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition)

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding ex...

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Key Attributes

Country of originIndia
BrandSanage Publishing House
Net Quantity1 count
Product Dimensions20.3L x 25.4W x 4.7H cm
Manufacturer or packer nameSanage Publishing House
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Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home. Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.

Country of originIndia
BrandSanage Publishing House
Common nameMachine Learning for Absolute Beginners: A Plain English Introduction (Third Edition)
Net Quantity1 count
Weight250 g
Package Dimension22.86L x 15.24W x 1.7H cm
Product Dimensions20.3L x 25.4W x 4.7H cm
Manufacturer or packer nameSanage Publishing House
Manufacturer or packer addressIN
Manufacturing Date3-2024
ISBN9789362056863
EAN9789362056863
contact details consumer careTechshresta Solutions Private Limited, [email protected], +919900235519