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Making Data Meaningful with Business Intelligence
Data Engineering
ELT
Python & Anaconda
SQL and Database
ETL Tools. Extract Transform Load (ETL) is a category of technologies that move data between systems.
SQL and Database
Python & Anaconda
SQL and Database
Structured Query Language (SQL) is the standard language for querying relational databases.
Python & Anaconda
Python & Anaconda
Python & Anaconda
Python. Python is a general purpose programming language used in Data Science. Anaconda open-source ecosystem, the platform of choice for Python data science.
Spark and Hadoop
Spark and Hadoop
Python & Anaconda
Spark and Hadoop work with large datasets on clusters of computers.
Data Lake
Spark and Hadoop
Data Security
Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.
Data Security
Spark and Hadoop
Data Security
Data Security Knowledge of data protection to proactively prevent stolen data and ransomware.
Data Science
Data Mining
Dynamic Visualization
Data Mining
Data mining Public Data Sets is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.
Big Data
Dynamic Visualization
Data Mining
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software
Dynamic Visualization
Dynamic Visualization
Dynamic Visualization
Dynamic Visual is a representation of the data and use of interactive web based charts and graphs. It gives the user insight to make knowledge-based decisions.
Data Warehouse
Quantum Data Science
Dynamic Visualization
Data Warehouse (DW) a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources.
ML and IA
Quantum Data Science
Quantum Data Science
Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of AI
Quantum Data Science
Quantum Data Science
Quantum Data Science
Quantum Data Scientists may also be motivated to learn more quantum computing in order to study quantum machine learning.
US Data Population Visualization
US Population Data
Compare State by State
Compare State by State
Map the year over year population growth by state with interactive maps
Compare State by State
Compare State by State
Compare State by State
Select any number of states to compare data side by side with other states
Data Tables
Compare State by State
Data Tables
See the data organized in table format to easily compare and view data
Cancer Visualization Data By State
Cancer Data
Year Over Year Growth Charts
Year Over Year Growth Charts
Building Cancer Data Models To Help Join the Fight Against Cancer
Year Over Year Growth Charts
Year Over Year Growth Charts
Year Over Year Growth Charts
See How Cancer is Effecting the Unites States by Trending growth Sate by State
Cancer Heat Map by Type
Year Over Year Growth Charts
Cancer Heat Map by Type
Unites States Heat Map of Cancer by Types Calculated Per-Capita
TensorFlow Deep Learning Technology
The Software
Deep Learning Technology
The Software
TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
The hardware
Deep Learning Technology
The Software
Nvidia is the leader ACCELERATED MACHINE LEARNING Hardware. GPU Deep Learning Increases model accuracy and directly impact the bottom line with highly optimized machine learning pipelines.
Deep Learning Technology
Deep Learning Technology
Deep Learning Technology
Heavily used by data scientists, software developers, and educators, TensorFlow is an open-source platform for machine learning using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture allows m
Heavily used by data scientists, software developers, and educators, TensorFlow is an open-source platform for machine learning using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture allows machine learning algorithms to be described as a graph of connected operations. They can be trained and executed on GPUs, CPUs, and TPUs across various platforms without rewriting code, ranging from portable devices to desktops to high-end servers.
CPU vs. GPU
Intel CPU
CPU's (central processing units) are genral purpose processors found in laptops, desktops, and servers. They are known as all-purpose processing units.
Nvidia GPU
GPU's (Graphic Processing Unit) GPU's are indispensable for machine learning. Training models is a hardware intensive task, and a decent GPU will make sure the computation of neural networks goes smoothly. Compared to CPUs, GPUs are way better at handling machine learning tasks, thanks to their several thousand cores.