Join us on a literary world trip!
Add this book to bookshelf
Grey

Trust - Responsible AI Innovation Privacy and Data Leadership

Dominique Shelton Leipzig

End of Abundance in Tech - How IT Leaders Can Find Efficiencies to Drive Business Value

Ben DeBow

Shifting the Balance - How Top Organizations Beat the Competition by Combining Intuition with Data

Mark Schrutt

Advanced Data Analytics with AWS - Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources

Joseph Conley

The Machine Learning Solutions Architect Handbook - Practical strategies and best practices on the ML lifecycle system design MLOps and generative AI

David Ping

Ultimate Python Libraries for Data Analysis and Visualization - Leverage Pandas NumPy Matplotlib Seaborn Julius AI and No-Code Tools for Data Acquisition Visualization and Statistical Analysis

Abhinaba Banerjee

Deep Learning for Time Series Cookbook - Use PyTorch and Python recipes for forecasting classification and anomaly detection

Vitor Cerqueira, Luís Roque

Fundamentals of Analytics Engineering - An introduction to building end-to-end analytics solutions

Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira

Mastering Time Series Analysis and Forecasting with Python - Bridging Theory and Practice Through Insights Techniques and Tools for Effective Time Series Analysis in Python

Sulekha AloorRavi

Graph Data Science with Python and Neo4j - Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies

Timothy Eastridge

Cracking the Data Science Interview - Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield

Data Cleaning with Power BI - The definitive guide to transforming dirty data into actionable insights

Gus Frazer

Learn Microsoft Fabric - A practical guide to performing data analytics in the era of artificial intelligence

Arshad Ali, Bradley Schacht

Learn T-SQL Querying - A guide to developing efficient and elegant T-SQL code

Pedro Lopes, Pam Lahoud

Data-Centric Machine Learning with Python - The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen, Nakul Bajaj, Manmohan Gosada

Kibana 8x – A Quick Start Guide to Data Analysis - Learn about data exploration visualization and dashboard building with Kibana

Krishna Shah

Building Interactive Dashboards in Microsoft 365 Excel - Harness the new features and formulae in M365 Excel to create dynamic automated dashboards

Michael Olafusi

Azure Data Factory Cookbook - A data engineer's guide to building and managing ETL and ELT pipelines with data integration

Dmitry Anoshin, Dmitry Foshin, Tonya Chernyshova, Xenia Hertzenberg

Bioinformatics - Algorithms Coding Data Science And Biostatistics

Rob Botwright

Data Warehousing - Optimizing Data Storage And Retrieval For Business Success

Rob Botwright

Ultimate Data Engineering with Databricks - Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables Ingestion Transformation Security and Scalability

Mayank Malhotra

Big Data - Statistics Data Mining Analytics And Pattern Learning

Rob Botwright

Excel 2024 - Mastering Charts Functions Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step GuideMastering Charts Functions Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step Guide

Thomas Reynolds

MLOps with Red Hat OpenShift - A cloud-native approach to machine learning operations

Ross Brigoli, Faisal Masood

Data Labeling in Machine Learning with Python - Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Vijaya Kumar Suda

Managing Data Integrity for Finance - Discover practical data quality management strategies for finance analysts and data professionals

Jane Sarah Lat

Machine Learning Infrastructure and Best Practices for Software Engineers - Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

Bayesian Analysis with Python - A practical guide to probabilistic modeling

Osvaldo Martin

Data Engineering with Scala and Spark - Build streaming and batch pipelines that process massive amounts of data using Scala

Eric Tome, Rupam Bhattacharjee, David Radford

Principles of Data Science - A beginner's guide to essential math and coding skills for data fluency and machine learning

Sinan Ozdemir