Why Build No-Code Apps? with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso

DataCamp · Intermediate ·🛠️ AI Tools & Apps ·1y ago
Birago Jones in the CEO at Pienso, Pienso is an AI platform that empowers subject matter experts in various enterprises, such as business analysts, to create and fine-tune AI models without coding skills. Prior to Pienso, Birago was a Venture Partner at Indicator Ventures and a Research Assistant at MIT Media Lab where he also founded the Media Lab Alumni Association. Karthik Dinakar is a computer scientist specializing in machine learning, natural language processing, and human-computer interaction. He is the Chief Technology Officer and co-founder at Pienso. Prior to founding Pienso, Karthi…
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1 SQL Server Tutorial: Date manipulation
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2 R Tutorial: Intermediate Interactive Data Visualization with plotly in R
R Tutorial: Intermediate Interactive Data Visualization with plotly in R
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3 R Tutorial: Adding aesthetics to represent a variable
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4 R Tutorial: Moving Beyond Simple Interactivity
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5 Python Tutorial: Why use ML for marketing? Strategies and use cases
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6 Python Tutorial: Preparation for modeling
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7 Python Tutorial: Machine Learning modeling steps
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8 R Tutorial: The prior model
R Tutorial: The prior model
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9 R Tutorial: Data & the likelihood
R Tutorial: Data & the likelihood
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10 R Tutorial: The posterior model
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11 R Tutorial: An Introduction to plotly
R Tutorial: An Introduction to plotly
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12 R Tutorial: Plotting a single variable
R Tutorial: Plotting a single variable
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13 R Tutorial: Bivariate graphics
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14 Python Tutorial: Customer Segmentation in Python
Python Tutorial: Customer Segmentation in Python
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15 Python Tutorial: Time cohorts
Python Tutorial: Time cohorts
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16 Python Tutorial: Calculate cohort metrics
Python Tutorial: Calculate cohort metrics
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17 Python Tutorial: Cohort analysis visualization
Python Tutorial: Cohort analysis visualization
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18 R Tutorial: Building Dashboards with flexdashboard
R Tutorial: Building Dashboards with flexdashboard
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19 R Tutorial: Anatomy of a flexdashboard
R Tutorial: Anatomy of a flexdashboard
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20 R Tutorial: Layout basics
R Tutorial: Layout basics
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21 R Tutorial: Advanced layouts
R Tutorial: Advanced layouts
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22 Python Tutorial: Time Series Analysis in Python
Python Tutorial: Time Series Analysis in Python
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23 Python Tutorial: Correlation of Two Time Series
Python Tutorial: Correlation of Two Time Series
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24 Python Tutorial: Simple Linear Regressions
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25 Python Tutorial: Autocorrelation
Python Tutorial: Autocorrelation
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26 R Tutorial: The gapminder dataset
R Tutorial: The gapminder dataset
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27 R Tutorial: The filter verb
R Tutorial: The filter verb
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28 R Tutorial: The arrange verb
R Tutorial: The arrange verb
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29 R Tutorial: The mutate verb
R Tutorial: The mutate verb
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30 R Tutorial: What is cluster analysis?
R Tutorial: What is cluster analysis?
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31 R Tutorial: Distance between two observations
R Tutorial: Distance between two observations
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32 R Tutorial: The importance of scale
R Tutorial: The importance of scale
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33 R Tutorial: Measuring distance for categorical data
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34 Python Tutorial: Plotting multiple graphs
Python Tutorial: Plotting multiple graphs
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35 Python Tutorial: Customizing axes
Python Tutorial: Customizing axes
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36 Python Tutorial: Legends, annotations, & styles
Python Tutorial: Legends, annotations, & styles
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37 Python Tutorial: Introduction to iterators
Python Tutorial: Introduction to iterators
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38 Python Tutorial: Playing with iterators
Python Tutorial: Playing with iterators
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39 Python Tutorial: Using iterators to load large files into memory
Python Tutorial: Using iterators to load large files into memory
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40 SQL Tutorial: Introduction to Relational Databases in SQL
SQL Tutorial: Introduction to Relational Databases in SQL
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41 SQL Tutorial: Tables: At the core of every database
SQL Tutorial: Tables: At the core of every database
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42 SQL Tutorial: Update your database as the structure changes
SQL Tutorial: Update your database as the structure changes
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43 Python Tutorial: Classification-Tree Learning
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44 Python Tutorial: Decision-Tree for Classification
Python Tutorial: Decision-Tree for Classification
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45 Python Tutorial: Decision-Tree for Regression
Python Tutorial: Decision-Tree for Regression
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46 Python Tutorial: Census Subject Tables
Python Tutorial: Census Subject Tables
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47 Python Tutorial: Census Geography
Python Tutorial: Census Geography
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48 Python Tutorial: Using the Census API
Python Tutorial: Using the Census API
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49 R Tutorial: A/B Testing in R
R Tutorial: A/B Testing in R
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50 R Tutorial: Baseline Conversion Rates
R Tutorial: Baseline Conversion Rates
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51 R Tutorial: Designing an Experiment - Power Analysis
R Tutorial: Designing an Experiment - Power Analysis
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52 R Tutorial: Introduction to qualitative data
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53 R Tutorial: Understanding your qualitative variables
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54 R Tutorial: Making Better Plots
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55 SQL Tutorial: OLTP and OLAP
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56 SQL Tutorial: Storing data
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57 SQL Tutorial: Database design
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58 Python Tutorial: Introduction to spaCy
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59 Python Tutorial: Statistical Models
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60 Python Tutorial: Rule-based Matching
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