MS Build 2017

Data Skeptic · Intermediate ·📰 AI News & Updates ·9y ago

Key Takeaways

Microsoft Build Conference 2017 recap, covering cloud, databases, cognitive services, and artificial intelligence, with interviews from Rohan Kumar and David Carmona

Original Description

This episode recaps the Microsoft Build Conference.  Kyle recently attended and shares some thoughts on cloud, databases, cognitive services, and artificial intelligence.  The episode includes interviews with Rohan Kumar and David Carmona.  
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Playlist

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1 Data Skeptic book giveaway contest winner selection
Data Skeptic book giveaway contest winner selection
Data Skeptic
2 OpenHouse - Front end and API overview
OpenHouse - Front end and API overview
Data Skeptic
3 OpenHouse Crawling with AWS Lambda
OpenHouse Crawling with AWS Lambda
Data Skeptic
4 [MINI] Logistic Regression on Audio Data
[MINI] Logistic Regression on Audio Data
Data Skeptic
5 Data Provenance and Reproducibility with Pachyderm
Data Provenance and Reproducibility with Pachyderm
Data Skeptic
6 [MINI] Primer on Deep Learning
[MINI] Primer on Deep Learning
Data Skeptic
7 Big Data Tools and Trends
Big Data Tools and Trends
Data Skeptic
8 [MINI] Automated Feature Engineering
[MINI] Automated Feature Engineering
Data Skeptic
9 The Data Refuge Project
The Data Refuge Project
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10 [MINI] The Perceptron
[MINI] The Perceptron
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11 [MINI] Feed Forward Neural Networks
[MINI] Feed Forward Neural Networks
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12 Data Science at Patreon
Data Science at Patreon
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13 [MINI] Backpropagation
[MINI] Backpropagation
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14 [MINI] GPU CPU
[MINI] GPU CPU
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15 OpenHouse
OpenHouse
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16 [MINI] Generative Adversarial Networks
[MINI] Generative Adversarial Networks
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17 [MINI] AdaBoost
[MINI] AdaBoost
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18 [MINI] The Bootstrap
[MINI] The Bootstrap
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19 [MINI] Dropout
[MINI] Dropout
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20 [MINI] Gini Coefficients
[MINI] Gini Coefficients
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21 [MINI] Random Forest
[MINI] Random Forest
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22 [MINI] Heteroskedasticity
[MINI] Heteroskedasticity
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23 [MINI] ANOVA
[MINI] ANOVA
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24 Urban Congestion
Urban Congestion
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25 [MINI] The CAP Theorem
[MINI] The CAP Theorem
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26 Unstructured Data for Finance
Unstructured Data for Finance
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27 Detecting Terrorists with Facial Recognition?
Detecting Terrorists with Facial Recognition?
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28 Predictive Models on Random Data
Predictive Models on Random Data
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29 [MINI] Entropy
[MINI] Entropy
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30 [MINI] F1 Score
[MINI] F1 Score
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31 Causal Impact
Causal Impact
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32 Machine Learning on Images with Noisy Human-centric Labels
Machine Learning on Images with Noisy Human-centric Labels
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33 The Library Problem
The Library Problem
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34 Stealing Models from the Cloud
Stealing Models from the Cloud
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35 Data Science at eHarmony
Data Science at eHarmony
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36 Multiple Comparisons and Conversion Optimization
Multiple Comparisons and Conversion Optimization
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37 Election Predictions
Election Predictions
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38 [MINI] Calculating Feature Importance
[MINI] Calculating Feature Importance
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39 MS Connect Conference
MS Connect Conference
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40 Music21
Music21
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41 The Police Data and the Data Driven Justice Initiatives
The Police Data and the Data Driven Justice Initiatives
Data Skeptic
42 Studying Competition and Gender Through Chess
Studying Competition and Gender Through Chess
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43 [MINI] Goodhart's Law
[MINI] Goodhart's Law
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44 Trusting Machine Learning Models with LIME
Trusting Machine Learning Models with LIME
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45 [MINI] Leakage
[MINI] Leakage
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46 Predictive Policing
Predictive Policing
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47 Mutli-Agent Diverse Generative Adversarial Networks
Mutli-Agent Diverse Generative Adversarial Networks
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48 [MINI] Convolutional Neural Networks
[MINI] Convolutional Neural Networks
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49 Unsupervised Depth Perception
Unsupervised Depth Perception
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50 [MINI] Max-pooling
[MINI] Max-pooling
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MS Build 2017
MS Build 2017
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52 Activation Functions
Activation Functions
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53 Doctor AI
Doctor AI
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54 [MINI] The Vanishing Gradient
[MINI] The Vanishing Gradient
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55 CosmosDB
CosmosDB
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56 Estimating Sheep Pain with Facial Recognition
Estimating Sheep Pain with Facial Recognition
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57 [MINI] Conditional Independence
[MINI] Conditional Independence
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58 MINI: Bayesian Belief Networks
MINI: Bayesian Belief Networks
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59 Project Common Voice
Project Common Voice
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60 [MINI] Recurrent Neural Networks
[MINI] Recurrent Neural Networks
Data Skeptic

This episode recaps the Microsoft Build Conference 2017, covering key topics such as cloud, databases, cognitive services, and artificial intelligence, with insights from industry experts Rohan Kumar and David Carmona. The episode provides an overview of the latest developments in AI and related technologies. By listening to this episode, you can stay updated on the latest AI news and trends.

Key Takeaways
  1. Attend the Microsoft Build Conference
  2. Research cloud computing and databases
  3. Explore cognitive services and artificial intelligence
  4. Listen to interviews with industry experts
💡 The Microsoft Build Conference 2017 highlighted the importance of cloud computing, databases, cognitive services, and artificial intelligence in the tech industry.

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