Biomedical image understanding : methods and applications / by Lim, Joo Hwee, Ong, Sim Heng, Xiong, Wei, ProQuest Ebook Subscriptions

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Time Series Algorithms Recipes : Implement Machine Learning and Deep Learning Techniques with Python / by Kulkarni, Akshay R., Shivananda, Adarsha, Kulkarni, Anoosh, Krishnan, V. Adithya, Safari Books Online

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Understanding computational Bayesian statistics / by Bolstad, William M., 1943-

Time series analysis and its applications : with R examples / by Shumway, Robert H., Stoffer, David S., SpringerLink (Online service)

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Understanding and learning statistics by computer / by Yang, Mark C. K.

MODERN TIME SERIES FORECASTING WITH PYTHON explore industry-ready time series forecasting using modern machine learning and deep learning / by Manu, Joseph, Safari Books Online

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Forecasting time series data with Prophet : build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool / by Rafferty, Greg, Safari Books Online

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Deep learning in time series analysis / by Gharehbaghi, Arash, 1972-, Safari Books Online

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Understanding atrial fibrillation, the signal processing contribution. by Mainardi, Luca, Synthesis digital library of engineering and computer science

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Understanding atrial fibrillation, the signal processing contribution. by Mainardi, Luca, Synthesis digital library of engineering and computer science

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Data driven model learning for engineers : with applications to univariate time series / by Mercère, Guillaume, SpringerLink (Online service)

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Basic data analysis for time series with R / by Derryberry, DeWayne R., Books24x7, Inc

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Computational methods for understanding bacterial and archaeal genomes / by PALCI EBSCO books

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Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR / by Korstanje, Joos, Safari Books Online

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Understanding supply chain digitalization through actor-network theory : the interplay between blockchain, accounting and management control / by Vitale, Gianluca, SpringerLink (Online service)

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Construction analytics : forecasting and investment valuation / by Shahandashti, Mohsen, Abediniangerabi, Bahram, Zahed, Ehsan, Kim, Sooin, SpringerLink (Online service)

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The insight discipline : crafting new marketplace understanding that makes a difference / by Fahey, Liam, 1951-, PALCI EBSCO books

Table of Contents: “…Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- AMA INTRODUCTION TO BOOK SERIES -- BOOK SERIES OVERVIEW -- 1-The Insight Discipline -- Getting to insight -- What is Insight? …”
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Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / by Petrou, Theodore, Safari Books Online

Table of Contents: “…Pandas foundations -- Dissecting the anatomy of a DataFrame -- Accessing the main DataFrame components -- Understanding data types -- Selecting a single column of data as a series -- Calling series methods -- Working with operators on a series -- Chaining series methods together -- Making the index meaningful -- Renaming row and column names -- Creating and deleting columns -- Essential Chapter 2: DataFrame operations -- Selecting multiple DataFrame columns -- Selecting columns with methods -- Ordering column names sensibly -- Operating on the entire DataFrame -- Chaining DataFrame methds together -- Working with operators on a DataFrame -- Comparing missing values -- Transposing the direction of a DataFrame operation -- Determining college campus diversity -- Chapter 3: Beginning data analysis -- Developing a data analysis routine.…”
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Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python / by Petrou, Theodore, Safari Books Online

Table of Contents: “…Pandas foundations -- Dissecting the anatomy of a DataFrame -- Accessing the main DataFrame components -- Understanding data types -- Selecting a single column of data as a series -- Calling series methods -- Working with operators on a series -- Chaining series methods together -- Making the index meaningful -- Renaming row and column names -- Creating and deleting columns -- Essential Chapter 2: DataFrame operations -- Selecting multiple DataFrame columns -- Selecting columns with methods -- Ordering column names sensibly -- Operating on the entire DataFrame -- Chaining DataFrame methds together -- Working with operators on a DataFrame -- Comparing missing values -- Transposing the direction of a DataFrame operation -- Determining college campus diversity -- Chapter 3: Beginning data analysis -- Developing a data analysis routine.…”
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Essentials of data science and analytics : statistical tools, machine learning, and R-statistical software overview / by Sahay, Amar, BEPress online

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