BOOKS - OS AND DB - Becoming a Data Head How to Think, Speak, and Understand Data Sci...
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning - Alex J. Gutman, Jordan Goldmeier 2021 PDF Wiley BOOKS OS AND DB
ECO~14 kg CO²

1 TON

Views
98149

Telegram
 
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Author: Alex J. Gutman, Jordan Goldmeier
Year: 2021
Pages: 268
Format: PDF
File size: 10.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Python for Data Analysis Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Data Sketches A journey of imagination, exploration, and beautiful data visualizations (AK Peters Visualization Series)
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
Core Data for iOS Developing Data-Driven Applications for the iPad, iPhone, and iPod touch
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Tuning the Snowflake Data Cloud: Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Python for Data Analysis The Ultimate Beginner|s Guide to Data Analytics, Deep Learning
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data (Early Release)
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Python for Data Analysis Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, Early Release
Web Data APIs for Knowledge Graphs Easing Access to Semantic Data for Application Developers
Handbook of Research on Big Data and the IoT (Advances in Data Mining and Database Management (ADMDM))
Data Analytics for Pandemics A COVID-19 Case Study (Intelligent Signal Processing and Data Analysis)
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Data Action Using Data for Public Good (The MIT Press)
Critical Data Literacies Rethinking Data and Everyday Life
Azure Data Factory by Example: Practical Implementation for Data Engineers
Data Smart: Using Data Science, 2nd Ed. Jordan Goldmeier
Sharing Big Data Safely Managing Data Security
Automating Data Quality Monitoring: Going Deeper Than Data Observability
Data Fluency Empowering Your Organization with Effective Data Communication
Data Analytics for Organisational Development: Unleashing the Potential of Your Data