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spark mllib
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convert and grow your customer
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attract your customers
advocacy
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methodology lean six sigma
fundamentals of digital analytics
how to segment data and create lists
introduction to audience types
location and language targeting
campaign types budget and reach
ad extensions
ad testing
advanced ad features
creating compelling ads
keyword research
negative keywords and managing search terms
keyword match types
understanding keyword organisation
buying funnel
psychology of search
adwords video advertising
adwords mobile advertising
adwords display advertising
adwords search advertising
google adwords fundamentals
advanced web analytics
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facebook marketing and advertising
youtube and video marketing
advanced social media marketing
social media foundations
conversions and onboarding
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replication and sharding
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hadoop ecosystem
ubuntu
cloudera hadoop
performance matrix
artifical intelligence
deep learning with keras
sequential modeling
keras
backpropagation and gradient descent
tensor flow object detection api
deep learning platforms
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deep learning frameworks
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deep learning libraries
training neural networks
spark core processing
scala
pig
distributed processing mapreduce
etl
regularisation
pca
k nearest clustering
svm
naive bayes
reinforcement learning
principal component analysis
k nearest neighbours
support vector maching
time series analysis in r
hierarchical clustering in r
random forest in r
decision tree in r
data visualisation in r
data manipulation in r dplyr and r tidyr
flow control
matrix and data frames in r
vectors and lists in r
ariable data types and logical operators in r
r programming
cfg
structuring sentences
text preprocessing
text extraction
data preprocessing
recommender systems
ai
feature engineering
ensemble learning
time series modeling
unsupervised learning
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Presentations
(26)Tags
startup
data science
machine learning
lean startup
digital humanities
neural network
yarn
hadoop
k means clustering
text mining
supervised learning
mental health
yoga
python
scale
finance
customer experience
branding
retention and expansion
privacy and ethics
pyspark
spark mllib
indexing and aggregation
sqoop
hadoop mapreduce
hdfs
big data
machine learning workflow
convolutional neural network
recurrent neural network
image recognition
tensorflow object detection
data flow graph
apache hive
unsupervised learning algorithms
random forest
decision tree
logistic regression
support vector machine in r
linear regression in r
natural language processing
mathematics
health
selfcare
healthcare
meditation
nidra
personal care
physical health
workout
discipline
self care
text analysis
research question
harvardx
harvard
cleaning data
collecting data
voyant
transformation
digital
lawtech
technology
law
employment
strategy
talent
talent management
advisors
mentors
company profiles
team
investment
performance
marketing
career
mentor
logo
digital marketing
online business
business
convert and grow your customer
engage with your customers
connect with your customers
attract your customers
advocacy
managing analytics
methodology lean six sigma
fundamentals of digital analytics
how to segment data and create lists
introduction to audience types
location and language targeting
campaign types budget and reach
ad extensions
ad testing
advanced ad features
creating compelling ads
keyword research
negative keywords and managing search terms
keyword match types
understanding keyword organisation
buying funnel
psychology of search
adwords video advertising
adwords mobile advertising
adwords display advertising
adwords search advertising
google adwords fundamentals
advanced web analytics
advanced content marketing
social media tools
facebook marketing and advertising
youtube and video marketing
advanced social media marketing
social media foundations
conversions and onboarding
digital analytics
web analytics
content marketing
search engine optimization
b2c marketing
b2b marketing
engaging content
customer intent
content marketing strategy
business case
vision for content marketing
power bi
tableau
excel
hive and pig
apache hbase
mongodb
positional array modification
update operations
document retrieval in mongodb
data modification in mongodb
spark sql
sparksql
spark streaming
applications of spark
spark architecture
mongodb cluster operations
developing java and nodejs applications
replication and sharding
crud operations
nosql databases
hbase
flume
hadoop ecosystem
ubuntu
cloudera hadoop
performance matrix
artifical intelligence
deep learning with keras
sequential modeling
keras
backpropagation and gradient descent
tensor flow object detection api
deep learning platforms
deep learning applications
deep learning frameworks
tensorflow
deep learning libraries
training neural networks
spark core processing
scala
pig
distributed processing mapreduce
etl
regularisation
pca
k nearest clustering
svm
naive bayes
reinforcement learning
principal component analysis
k nearest neighbours
support vector maching
time series analysis in r
hierarchical clustering in r
random forest in r
decision tree in r
data visualisation in r
data manipulation in r dplyr and r tidyr
flow control
matrix and data frames in r
vectors and lists in r
ariable data types and logical operators in r
r programming
cfg
structuring sentences
text preprocessing
text extraction
data preprocessing
recommender systems
ai
feature engineering
ensemble learning
time series modeling
unsupervised learning
See more