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Activation functions presentation
Activation Functions is an online education platform that aims to provide quality education at scale using a full-stack approach combining content, technology, and services. It targets working professionals looking to upskill and further their careers. The company's vision is to redefine digital learning by making quality education more accessible. Under the leadership of Sumit Rasiwasia and Rajdeep, Activation Functions has assembled a team with experience in education, media, and technology to develop a robust curriculum using different learning approaches.
Activation functions presentation
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- 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 datascience 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
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- 7. Machine Learning Deep Learning AI BIG DATA DataMining Data Science Activation Functions, | 2019
- 8. Activation Functions, |2019 Theory vs Aplication
- 9. Each module incourse 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
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