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Answered on 04 May Learn Machine Learning

What is the difference between statistics and machine learning?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
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Answered on 04 May Learn Machine Learning

What's the difference between machine learning, AI, and NLP?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Machine learning is a subset of AI that allows a machine to learn from past data without explicitly programming it. NLP is also a subset of AI, but it requires machine learning to be used effectively.
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Answered on 04 May Learn Machine Learning

What is the difference between a data scientist and a machine learning engineer?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

A data scientist, quite simply, will analyze data and glean insights from the data. A machine learning engineer will focus on writing code and deploying machine learning products.
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Answered on 04 May Learn Machine Learning

What is the difference between AI, Machine Learning, NLP, and Deep Learning?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Artificial Intelligence is the concept of creating smart intelligent machines. Machine Learning is a subset of artificial intelligence that helps you build AI-driven applications. Deep Learning is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model.
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Answered on 04 May Learn Machine Learning

How is machine learning used in cyber security?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Machine learning detects threats by constantly monitoring the behavior of the network for anomalies. Machine learning engines process massive amounts of data in near real time to discover critical incidents. These techniques allow for the detection of insider threats, unknown malware, and policy viol... read more

Machine learning detects threats by constantly monitoring the behavior of the network for anomalies. Machine learning engines process massive amounts of data in near real time to discover critical incidents. These techniques allow for the detection of insider threats, unknown malware, and policy violations.

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Answered on 04 May Learn Machine Learning

What is machine learning algorithm?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks—most often to discover new data insights and patterns, or to predict output values from a given set of input variables.
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Answered on 03 Apr Learn Machine Learning

What are the best graduate schools for studying machine learning?

Math Decode Institute

1. Stanford University · 2. University of California - Berkeley · 3. Harvard University ·
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Answered on 03 May Learn Machine Learning

How does machine learning work?

Dheeraj Kushwaha

Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data.
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Answered on 02 Apr Learn Machine Learning

Is Machine Learning just glorified statistics?

Math Decode Institute

ML is not just glorified Statistics. Statistics is a mathematical science which deals with the collection, analysis, interpretation or explanation, and presentation of data.
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Answered on 02 Apr Learn Machine Learning

How much of machine learning is computer science vs. statistics?

Math Decode Institute

100% computer science.
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