Only the Greatest Data Scientist Has a Beard Notebook PDF Download
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Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676199762
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Science ? Do you Love Data ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676199762
Category :
Languages : en
Pages : 112
Get Book Here
Book Description
Are you passionate about Science ? Do you Love Data ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676166146
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Analytics ? Do you Love Statistics ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676173151
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Analytics ? Do you Love Data Statistics ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676170129
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Technology ? Do you Love Science ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676170082
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Programming ? Do you Love Working with Computers? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781651942628
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Digital Work ? Do you Love Programming & Developing? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: David Mertz
Publisher: Packt Publishing Ltd
ISBN: 1801074402
Category : Mathematics
Languages : en
Pages : 499
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Book Description
Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses. What you will learnIngest and work with common data formats like JSON, CSV, SQL and NoSQL databases, PDF, and binary serialized data structuresUnderstand how and why we use tools such as pandas, SciPy, scikit-learn, Tidyverse, and BashApply useful rules and heuristics for assessing data quality and detecting bias, like Benford’s law and the 68-95-99.7 ruleIdentify and handle unreliable data and outliers, examining z-score and other statistical propertiesImpute sensible values into missing data and use sampling to fix imbalancesUse dimensionality reduction, quantization, one-hot encoding, and other feature engineering techniques to draw out patterns in your dataWork carefully with time series data, performing de-trending and interpolationWho this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, teachers, and students who work with data. If you want to improve your rigor in data hygiene or are looking for a refresher, this book is for you. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676215073
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Mathematics ? Do you Love Learning? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Bearded Job Utility Journal Notebooks
Publisher:
ISBN: 9781676163404
Category :
Languages : en
Pages : 112
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Book Description
Are you passionate about Coding ? Do you Love Programming ? Are you good at your Job but can not remember everything? No Problem. This Notebook will help you remember it all! It comes with: - 110 Pages - 6 x 9 inch size - beautiful matte cover - simple yet elegant design An awesome Gift Idea for Birthdays, Christmas, Anniversaries, Graduation or any other present giving occasion.
Author: Chris Fregly
Publisher: "O'Reilly Media, Inc."
ISBN: 1492079367
Category : Computers
Languages : en
Pages : 524
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Book Description
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more
