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ACTIVATION
FUNCTIONS
Learn Data science by doing
What is Activation
Functions ?
Actication Functions is an online education platform to help
individuals develop their professional potential in the most engaging
learning environment. We are taking a full-stack approach of
leveraging content, technology and services to o ffer quality education
at scale.
Activation Functions, | 2019
ACTICVATION FUNCTIONS-
OVERVIEW
Activation Functions, Inc. | 2019
VISION
Redefine the digital
learning experience to
provide access to quality
education at scale
TARGET
SEGMENT
Working professionals
looking to up-skill to
further progress in their
careers.
Students .
APPROACH
To develop a robust
curriculum, content &
pedagogy
TEAM
Under the leadership of
Sumit Rasiwasia &
Rajdeep, Activation
Functions has assembled
a team with extensive
experience in education,
media and technology
products.
What is Data
Science ?
At one level, data science is a body of knowledge,
Data science collects the best ways to store, retrieve,
and manage data.
At another level, data science is a way of doing science.
Data scientists use data, models, and visualizations to
make scientific discoveries, just as other scientists use
experiments.
You can apply the scientific method to both data and
experiments, and each will yield objective, empirically
valid answers.
Activation Functions, | 2019
The 5 questions
data science
answers
Is this A or B or C? (classification)
 
Is this weird? (anomaly detection). 
How much/how many? (regression). 
How is it organized? (clustering). 
What should I do next? (reinforcement learning) Activation Functions, | 2019
Artificial
Inteligence
Machine
Learning
Deep Learing
Activation Functions, | 2019
Machine
Learning
Deep Learning
AI
BIG DATA
Data Mining
Data Science
Activation Functions, | 2019
Activation Functions, | 2019
Theory vs Aplication
Each module in course follows the "intuition -> quantitative approach
-> code-> verify" methodology
Intuition - why is it important and how it works
Quantitative Approach - The Math and science behind the algorithms
Code - student writes code exercises
Verify - our verification process verify the code.This instant feedback
helps student to learn fast
Balancing Math ,Code and Application
Activation Functions, | 2019
Demo
Activation Functions, | 2019

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Activation functions presentation

  • 2. What is Activation Functions ? Actication Functions is an online education platform to help individuals develop their professional potential in the most engaging learning environment. We are taking a full-stack approach of leveraging content, technology and services to o ffer quality education at scale. Activation Functions, | 2019
  • 3. ACTICVATION FUNCTIONS- OVERVIEW Activation Functions, Inc. | 2019 VISION Redefine the digital learning experience to provide access to quality education at scale TARGET SEGMENT Working professionals looking to up-skill to further progress in their careers. Students . APPROACH To develop a robust curriculum, content & pedagogy TEAM Under the leadership of Sumit Rasiwasia & Rajdeep, Activation Functions has assembled a team with extensive experience in education, media and technology products.
  • 4. What is Data Science ? At one level, data science is a body of knowledge, Data science collects the best ways to store, retrieve, and manage data. At another level, data science is a way of doing science. Data scientists use data, models, and visualizations to make scientific discoveries, just as other scientists use experiments. You can apply the scientific method to both data and experiments, and each will yield objective, empirically valid answers. Activation Functions, | 2019
  • 5. The 5 questions data science answers Is this A or B or C? (classification)   Is this weird? (anomaly detection).  How much/how many? (regression).  How is it organized? (clustering).  What should I do next? (reinforcement learning) Activation Functions, | 2019
  • 7. Machine Learning Deep Learning AI BIG DATA Data Mining Data Science Activation Functions, | 2019
  • 8. Activation Functions, | 2019 Theory vs Aplication
  • 9. Each module in course follows the "intuition -> quantitative approach -> code-> verify" methodology Intuition - why is it important and how it works Quantitative Approach - The Math and science behind the algorithms Code - student writes code exercises Verify - our verification process verify the code.This instant feedback helps student to learn fast Balancing Math ,Code and Application Activation Functions, | 2019