Optimizing Communications Requires an Outside-In Look

Learn About Behind-The-Scenes Lessons in Optimizing and Consolidating Communications
How can companies optimize their transactional, regulatory, and marketing communications to reduce costs, streamline processes, and improve the overall customer experience? It starts by taking an outside-in look, according to Lisa Meath from Broadridge Consulting Services.

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Rohit Bhargava, Innovation and Marketing Expert and Bestselling Author, To Headline GS1 Connect 2020

Attendees Will Learn How To Transform Their Business by Creating New Innovation Strategies and Building Trust
Rohit Bhargava, innovation and marketing expert and bestselling author, will be the featured keynote speaker at GS1 Connect 2020, a conference and exhibition hosted by GS1 US, June 15-18 at the Cosmopolitan in Las Vegas, Nevada.

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12 Best Screen Recorders to Use for Collaboration

During my HubSpot on-boarding, marketing new hires had to watch recorded product demonstrations to learn the platform. These videos typically included a screen recording, webcam footage, and narrated audio to go along with it.
Those training videos were recorded using screen recording software, which can be used to record a portion or the entirety of your computer screen.

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A Neural Network in 13 lines of Python (Part 2 – Gradient Descent)

Summary: I learn best with toy code that I can play with. This tutorial teaches gradient descent via a very simple toy example, a short python implementation.
Followup Post: I intend to write a followup post to this one adding popular features leveraged by state-of-the-art approaches (likely Dropout, DropConnect, and Momentum). I’ll tweet it out when it’s complete @iamtrask.

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Why Do We Plot Predictions on the x-axis?

When studying regression models, One of the first diagnostic plots most students learn is to plot residuals versus the model’s predictions (that is, with the predictions on the x-axis). Here’s a basic example.
# build an “ideal” linear process.
set.seed(34524)
N = 100
x1 = runif(N)
x2 = runif(N)
noise = 0.25*rnorm(N)
y = x1 + x2 + noise
df = data.

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Java Autonomous driving – Car detection

Are you Java Developer and eager to learn more about Deep Learning and his applications, but you are not feeling like learning another language at the moment ? Are you facing lack of the support or confusion with Machine Learning and Java?
Well you are not alone , as a Java Developer with more than 10 years of experience and several java certification I understand the obstacles and how you feel.

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Java Image Cat&Dog Recognition with Deep Neural Networks

Are you Java Developer and eager to learn more about Deep Learning and his applications, but you are not feeling like learning another language at the moment ? Are you facing lack of the support or confusion with Machine Learning and Java?
Well you are not alone , as a Java Developer with more than 10 years of experience and several java certification I understand the obstacles and how you feel.

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Java Handwritten Digit Recognition with Convolutional Neural Networks

Are you Java Developer and eager to learn more about Deep Learning and his applications, but you are not feeling like learning another language at the moment ? Are you facing lack of the support or confusion with Machine Learning and Java?
Well you are not alone , as a Java Developer with more than 10 years of experience and several java certification I understand the obstacles and how you feel.

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Java Handwritten Digit Recognition with Neural Networks

Are you Java Developer and eager to learn more about Deep Learning and his applications, but you are not feeling like learning another language at the moment ? Are you facing lack of the support or confusion with Machine Learning and Java?
Well you are not alone , as a Java Developer with more than 10 years of experience and several java certification I understand the obstacles and how you feel.

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How to Code and Understand DeepMind’s Neural Stack Machine

Summary: I learn best with toy code that I can play with. This tutorial teaches DeepMind’s Neural Stack machine via a very simple toy example, a short python implementation. I will also explain my thought process along the way for reading and implementing research papers from scratch, which I hope you will find useful.

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