Index
A
Activation functions
Apache Spark
Application programming interface (API)
Artificial intelligence (AI)
Automated machine learning
advanced editor
association rules
attributes
cancer data set
call classification function
prediction result
Changed Type
Chiclet slicer
creating function, Power Query
customer purchasing behavior
data set, transformation
duplicate data set
final code
importing data set
parameters setting
permission request
Power Query Editor
Power Query filter value
prediction analysis
report
result analysis
rpart library
R scripts editor
RStudio
run R Script
selecting columns
titanic data set
Azure Databricks
chart option
cluster page
environment module
import data
launch workspace
new cell creation
R notebook creation
run code
Scala language
scheduling a process
Azure Data Lake
Analytics sample scripts
create resource
creating Analytics resource
Data Explorer option
definition
Microsoft Cloud components
R scripts in U-SQL language
into RStudio
Active Directory, create connection
Azure Active Directory, application registration
Azure Active Directory, create
Azure Active Directory, Directory ID (Tenant ID)
Azure Active Directory, getting client Secret ID
iris data in adlsbook
U-SQL
Azure Data Lake Analytics
Azure Data Lake Store (ADLS), s
ee
Azure Data Lake
Azure Machine Learning (AML)
API model
package
Azure ML Studio
creating web service
API in Excel
information page
input and output
sample code
testing
Titanic problem
environment
executing R scripts
experiment
algorithms
Clean Missing Data
creating
importing data
score model output
setting up
Split Data
visualizing data set
features
Azure ML workbench
vs.
Azure ML Studio
components
creating workspace
definition
importing data
iris classification result
iris data (text file)
Jupyter Notebook
options
installation
iris classification project
model main page
Azure SQL database
Azure storage explorer
Azure Stream Analytics
Analytics job
application
Azure ML
access keys and URL
model
web service creation
components
create function
creation
definition
Event Hub service
initialization
live data in Power BI
outputs
setting up configuration
shared access policies
Visual studio
B
Blob storage
Bot creation, Azure
Build section
channel
Form option
.NET application
online code editor
test changes
Web App Bot
Web Chat
Business intelligence (BI)
Business problem
analysis and information
machine learning (
see
Machine learning (ML))
C
Cluster analysis
Clustering
custom visuals
k-means
Power Query
comparison data
data cleaning
funnel chart option
household power consumption data set
visualizations panel
Cognitive services
Azure accounts
categories
features
language category
Collaborative filtering
Content-based systems
Custom visuals, Power BI
command prompt creation
JSON file
pbiviz command
in power BI
account sign in
analytics time series
forecasting
import data
import visuals
RADACAD web site
R code
script file
D
Data acquisition
Databricks environment, Azure,
see
Azure Databricks
Data mining approaches
Data Science Virtual Machine (DSVM)
creation
environment
Jupyter Notebook
authentication key, Azure ML studio
fetching workspace ID
model creation
R code
R ML Code publish
web service
overview
R and python tools
RDP file
RStudio
set up
size
Dataset variable
Data transformation, Power Query
change data type
group by
using R scripts
Data warehousing
Data wrangling
ETL
merging
reshaping
selecting
Decision-making process
Decision tree
analysis
custom visuals, Power BI
Power BI account
power query filter value
predictive analysis
root node
tree branching
visualization panel
Deep learning
Deployment
Descriptive analysis
data mining approaches
operation reports
statistical analysis
Discrete class label
Drag-and-drop environment
E
Emulator
Event Hub
Extract, transform, and load (ETL)
F, G
Face recognition
API key
Azure
BrowseButton function
code, change
face description
face emotion
image emotion
installing Face API
vision category
Windows application
Forced-directed graph
H
HDInsight
cloud-based service
cluster
Azure Data Lake Store Gen1
creation
environment
Jupyter Notebook
set up
I, J
Integrated development environments (IDEs)
Internet of things (IoT)
K
Key performance indicators (KPIs)
K-nearest neighbors (KNN)
L
lapply function
M
Machine learning (ML)
AI
approaches
supervised learning
unsupervised learning
descriptive analysis
languages and platforms
life cycle
predictive analysis
prescriptive analysis
Matplotlib
merge function
Microsoft Cognitive Toolkit (CNTK)
case study
actual data
DSVM
Jupyter Notebook
random data
definition
neural networks
activation functions
classifying data
deep learning
DSVM environment
model
synapsis
topologies
setup
Microsoft machine learning
custom AI tools
data platform tools
ETL
IOT
pre-built AI tools
prototype
voice analytics
N, O
Neural networks
computer system architecture
concrete data set
package library command
machine learning with R
mountain climbing, comparison
normalization
output data set
Power BI report
prediction result
Python codes, pivot
structure
training data set
Normalization
MinMax approach
normalized data
R scripts
NuGet packages
P
Packages, R
installation
machine learning
Power BI
data visualization
R code
CSV file, import
ggplot function
mpg data set
Python environment
scatter chart result
script editor
whitespace area
setting up R
Power Query Editor
data resources
data transformation
home tab
power BI
R scripts
Power query filter value
Predictive analysis
classification analysis
regression analysis
time series forecasting
Prescriptive analysis
PyCharm
Python
dimensions
IDE
machine learning
package installation
statistical distribution
visualization
Q
Query Editor
Question-and-answer (QnA) chatbot
embed code
FAQs
HTTP request
knowledge database
Maker service
QnA Pair
qnmaker.ai web site
testing
Web App Bot service
R
RADACAD web site
R, data structure
data frames
lists
vector—C()
Regression approach
Remote Desktop Protocol (RDP)
Reshaping data
data table, creation
entering data manually
pivoting data
pivot table
specifying type/values
type column pivot option
RevoScaleR package
Rodeo
rpart package
R scripts
configuration options
creating visuals
chart in SSRS
input data
library path
R code section
return data
SSRS
packages
Azure ML
RevoScaleR
rxLinMode
run
in SQL Server 2016
in SQL Server 2017
RStudio, installation
R visualization
custom visuals (
see
Custom visuals, Power BI)
features
RStudio
slice and dice
power BI
rxLinMode package
S
Slice and dice
Spyder
SQL scripting language
SQL server
SQL server reporting services (SSRS)
Statistical analysis, R
Supervised learning
Support-vector machine (SVM)
T
Team data science process (TDSP)
Text analytics
create function
blank query
Power BI Query Editor
sentiment analysis
data set
pricing tiers
set up
URL and key
U
UCI machine learning repository
User interface (UI)
V, W, X, Y, Z
Visualization, R
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