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Data Science for Managers (Data Visualization (JavaScript based (D3.js…
Data Science for Managers
Math and Statistics
Probability theory
Discrete distributions
Continuous distributions
Classical statistics
Math analysis
Multivariable calculus
Linear algebra
Decision theory
Data analytics
Marketing analysis
Financial analysis
Data exploration
Visual analytics
Geospital analysis
Statistical analysis
Model Visualization
Business administration
BI
Tableau
Qlik
Klipfolio
PowerBI
Google data studio
Data engineering
Data scraping
Selenium
Scrapy
Search Engines
Elastic Search
Solr
Data ingestion
Data cleaning
Big data
Data streaming
RabbitMQ
Spark
Storm
Flink
Kafka
KStreams
Druid.io
Data Flow
Airflow
Nifi
Hadoop
Pig
Zookeeper
Hive
Data storages
SQL databases
SQLite
MySQL
PostgreSQL
NoSQL databases
MongoDb
Redis
HBase
Cassandra
Cloud Databases
Amazon RDS
Google BigTable
Amazon DynamoDB
Cloud storages
Amazon Glacier
Amazon S3
Data Visualization
Maps
OpenStreetMap \ Leaflet.js
Mapbox
Google Maps API
JavaScript based
D3.js
NVD3.js
Highcharts
Timeline.js
Chart.js
Programming languages based
Python
Plotly
matplotlib
Seaborn
R and RShiny
Excel
SAS Visual Analytics
Tableau
Programming languages
Lua
R
Python
MatLab, Octave
Scala
Julia
Data Science
Machine learning
Recommendation systems
Hybrid systems
Content-based filtering
Collaborative filtering
Unsupervised learning
Clustering
DBSCAN
Spectral clustering
kmeans
Anomaly detection
Isolation forest
One-class SVM
Cluster analysis
Dimensionality reduction
LDA
Factorization matrices
PCA
Supervised learning
Regression
Linear regression
Ridge
Lasso
Random forest regression
Gradient boosting regression
SVM
k nearest neighbors
Classification
Logistic regression
k nearest neighbors
Random forest
Decision trees
SVM
Naive Bayes
Gradient boosting
Deep learning
Deep Boltzman machines
Deep belief networks
Generative adversarial networks
Convolutional neural networks
Recurrent neural networks
Bi-directional RNN
GRU
Hopfield network
Continuous-time RNN
LSTM
Sequence-to-sequence
Artificial neural networks
Fully connected neural network
Perceptron
Backpropagation
Time series
Autoregressive
ARMA
Moving average
ARIMA
GARCH
Natural language processing
Parsing
Tagging
Machine translation
Named entity recognition
Natural language generation
Text-to-Speech
Speech recognition
Summarization
Natural language understanding
Sentiment analysis
Question answering
Optical character recognition
Computer vision
Object identification
LeNet
AlexNet
GoogLeNet
VGGNet
ResNet
DenseNet
InceptionNet
Instance segmentation
Object recognition
Emotion detection
Motion analysis
Object detection
R-CNN
Fast R-CNN
Faster R-CNN
R-FCN
YOLO
SSD
Scene reconstruction
Object segmentation
U-Net
Fully Convolutional Networks
RefineNet
DeepLab
Conditional Random Field
SegNet
PSPNet
Reinforcement learning
Temporal difference methods
Q-Learning
Monte Carlo methods
Robotics
Self-Supervised Learning
Dynamics and Control
Vision Intelligence
Decision-Making