🔥Career Webinar: How Fintech Companies Make Credit Decisions | Machine Learning | Simplilearn

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This video on Machine Learning Techniques By simplilearn is hosted in collaboration with real-time industry expert Mr. Shubham Pandey. He will teach the learners about the critical fundamentals of machine learning and also help them understand the criticalities observed and techniques implemented by Top Fintech Companies like Zest while taking Credit Decisions.

About the Webinar:

1. Get a live lesson on a key ML classification technique.
2. Why machine learning systems need to be able to classify objects
3. Learn the classification technique of logistic regression
4. See how logistic regression powers key decisions in fintech apps

About the Speaker:

1. Gold-standard Instructor with Simplilearn
2. 11 years of experience in data science
3. Facilitated workshops on tools and techniques for F500 corporates, universities, and training institutes
4. Strategy consultant using statistical modeling, machine learning, and data analysis

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⏩ Check out the Machine Learning tutorial videos: https://www.youtube.com/watch?v=ukzFI9rgwfU&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

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What is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves.

What is Supervised Learning?
In supervised learning, we use known or labeled data for training. Since the data is known, the learning is supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.

What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without the aspect of known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates from.

What is Reinforcement Learning?
The algorithm discovers data through a process of trial and error and then decides what action results in higher rewards. Three major components make up reinforcement learning: the agent, the environment, and the actions. The agent is the learner or decision-maker, the environment includes everything that the agent interacts with, and the actions are what the agent does.

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About Post Graduate Program in AI and Machine Learning:
Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and ML covers statistics, Python, machine learning, deep learning, NLP, and reinforcement learning.

Key Features:
✅ Purdue Alumni Association Membership
✅ Industry-recognized IBM certificates for IBM courses
✅ Enrollment in Simplilearn’s JobAssist
✅ 25+ hands-on Projects on GPU-enabled Labs
✅ 450+ hours of Applied Learning
✅ Capstone Project in 3 Domains
✅ Purdue Post Graduate Program Certification
✅Get noticed by the top hiring companies

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