I will offer deep learning, data science, neural networks , machine learning services

I will offer deep learning, data science, neural networks , machine learning services

Each is essentially a component of the prior term. That is, machine learning is a subfield of artificial intelligence. Deep learning is a subfield of machine learning,

Get I will offer deep learning, data science, neural networks , machine learning services

Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input1. 

For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces1. 

Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost2. It is also the key to voice control in consumer devices like phones and tablets2.

Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms1. 

Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another1. 

Neural networks are used for function approximation, or regression analysis, including time series prediction and modeling2. 

They are also used for classification, including pattern and sequence recognition, novelty detection and sequential decision making2.

Data science is a concept that unifies statistics, data analysis, informatics, and their related methods in order to understand and analyze actual phenomena with data1. 

It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge1. 

A data scientist must know enough about the business to ask pertinent questions and identify business pain points2. 

They must apply statistics and computer science, along with business acumen, to data analysis2. 

They use a wide range of tools and techniques for preparing and extracting data2.

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