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Bhattacharya A Applied Machine Learning Explainability Tech

Category: eBooks



Bhattacharya A Applied Machine Learning Explainability Tech


pdf | 7.58 MB | English | Isbn:‎ 979-8665818672 | Author: Daneyal Anis | Year: 2020



Description:


*Start your Data Science career using Python today!*

Are you ready to start your new exciting career? Ready to master artificial intelligence and deep learning concepts?
Are you overwhelmed with complexity of the books on this subject?
Then let this breezy and fun little book on Python, Machine Learning and Deep Learning models make you a Data Scientist in 7 days!
This book continues from where the first book in the series, Ultimate Step by Step Guide to Machine Learning Using Python, left of. In the first book you were introduced to Python concepts such as:•Data Structures like Pandas •Foundational libraries like Numpy, Seaborn and Scikit-Learn•Regression analysis•Classification•Clustering•Association Learning•Dimension ReductionThis book builds on those concepts to expand on Machine Learning algorithms like:•Linear and Logistical regression•Decision tree•Support vector machines (SVM)After that, this book takes you on a journey into Deep Learning and Neural Networks with important concepts and libraries like:•Convolutional and Recurrent Neural Networks•TensorFlow•Keras•PyTorch•Keras•Apache MXNet•Microsoft Cognitive Toolkit (CNTK)The final part of the book covers all foundational concepts that are required for Amazon Web Services (AWS) Certified Machine Learning Specialization by explaining how to deploy your models at scale on Cloud technologies. While AWS is used in the book for illustrative purposes, Microsoft Azure and Google Cloud are also introduced as alternative cloud technologies. After reading this book you will be able to:•Code in Python with confidence•Build new machine learning and deep learning models from scratch•Know how to clean and prepare your data for analytics•Speak confidently about statistical analysis techniquesData Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world!
If you are on the fence about making the leap to a new and lucrative career, this is the book for you!
What sets this book apart from other books on the topic of Python and Machine learning: •Step by step code examples and explanation•Complex concepts explained visually•Real world applicability of the machine learning and deep learning models introduced What do I need to get started? You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and artificial intelligence and start a lucrative and rewarding career! Ready to dive in to the exciting world of Python and Deep Learning? Then scroll up to the top and hit that BUY BUTTON!


Category:SNMP Networking, Optical Character Recognition Software, COM, DCOM & ATL Programming



   
   
   


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