Vol. XVIII · Free shipping $75+ · Read the collection
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Facure Matheus - Causal Inference In Python Applying Causal Inference In The Tech Industry - Paperback RnB/Swing " - - Tom Dorsey

Facure Matheus - Causal Inference In Python Applying Causal Inference In The Tech Industry - Paperback RnB/Swing " - - Tom DorseyBinding: Paperback Description: In this book author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects. Title: Causal Inference In Python Applying Causal Inference In The Tech Industry Author(s): Facure Matheus Publisher: O'reilly Media Barcode: 9781098140250 Pages: 400 Pages Publication Date: 8 22 2023 Category: Machine Learning

SKU: 19165428663 · From southroadsurgery.com.au

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" - - Tom Dorsey President Dorsey Wright & Associates and author Point & Figure Charting " You should buy this book just for the super job Charles does in explaining everything you need to know about charts graphs and the other 'voodoo of technical analysis that he makes so simple to understand

Barcode: 602455242532

Offering step - by - step instructions visual inspirations and even a library of unique colors and textures the author covers all the necessary materials tools and know - how from adding color and using existing photos to create unique personal art

After two centuries of conflicting medical advice most authorities today believe that those with diabetes can have the same dietary freedom enjoyed by the rest of us leaving the job of controlling their disease to insulin therapy and other blood - sugar - lowering medications

Author(s): Barnas Marie

Facure Matheus - Causal Inference In Python Applying Causal Inference In The Tech Industry - Paperback RnB/Swing " - - Tom DorseyBinding: Paperback Description: In this book author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects. Title: Causal Inference In Python Applying Causal Inference In The Tech Industry Author(s): Facure Matheus Publisher: O'reilly Media Barcode: 9781098140250 Pages: 400 Pages Publication Date: 8 22 2023 Category: Machine Learning

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