Deep Learning with Python “Data Science Training in Pune”

 Deep learning is also known as deep structured learning. It is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts. Data Science Training in Pune is providing advanced training in Data Science.

Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains, which make them incompatible with neuroscience evidence.

The term Deep Learning was introduced to the machine learning community by Rina Dechter in 1986. Deep learning is closely related to a class of theories of brain development. Deep Learning or Machine learning we can do by any one of the programming languages Like by Python, by R Programming Language or by Spark and Scala. People can create Deep Learning algorithms by using python.

Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow.

Python Training in Pune:

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.

In Python Institutes in Pune, Lot of modules are there in the market like Core Python, Python Scripting, Python with Data Science, Python in Data Visualization, Python in Machine learning, Python in Deep Learning. Python is the future of the IT Industry. In Python, Technogeeks offers every module of Python like Core python.

Some topics of Core Python which Technogeeks is going to cover are:

• Core Objects and Built-in Functions
• Conditional Statements and Loops
• UDF Functions and Object Functions
• Debugging, Framework & Regular expression
• Exceptional Handing and Object-Oriented
• Python Built-in Library
• File Handling with Python
• Database interaction with Python
• Package Installation, Windows spreadsheet
• Parsing and webpage scrapping

Data Science with Python:

Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, structured or unstructured, similar to data mining.

Data Science Technogeeks offers Machine Learning, Deep Learning, NLP (Natural language processing), Data visualization these concepts Technogeeks providing by Python, R programming language and by Spark & Scala also.

For learning data science any one programming language is required. Python is one of the vast programming languages to learn data science because there is a lot of libraries or you can say bundle of libraries in python. Technogeeks offers Python Training in Pune with 2 Real-time projects and POCs in that Data Science Course total course which Technogeeks offers is provided by Data Scientists only.

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Will Artificial Intelligence Take Care of Us or Destroy Us?

From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.

Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.

Today, the most popular A.I. techniques are machine learning and its younger cousin, deep learning. Unlike computer programs that rigidly follow rules written by humans, both machine learning and deep learning algorithms can look at a dataset, learn from it, and make new predictions. Deep learning in particular can make impressive predictions by discovering data patterns that people might miss.

People say these machines will be benevolent. They will be perfect. They will truly be these beautiful, benevolent, creatures. I don't think that is accurate and I don't think that they are going to be terminating, baby-eating machines either. These machines are going to reflect our species and our evolutionary process. Everything we are will end up in these artificially intelligent machines no matter what we do.

It's such a complex and such new technology in a lot of ways. I think we are afraid of ourselves. That is what it is. We are afraid of ourselves and our own unconscious minds. When we are building something that reflects us, it's the one thing we're all afraid to face. We're afraid to face ourselves. Building machines that mirror our consciousness is a very frightening proposition because we have seen how evil people can be.

What we are really talking about here is an artificially intelligent machine that is going to be able to surpass our intelligence level. At a certain point, you can call it a singularity. There will be a certain point where these machines have super-human intelligence. The best-case scenario is that they will be caretakers and they will be our teachers. They will teach us to be a better species. That is what I am hoping for as a techno-optimist.

If you are interested in learning Artificial Intelligence and want to make a career in this field then I would recommend you to enrol in Technogeeks AI program by working IT professionals.

How Does AI Learn Things?

Unlike humans, AI has computational power that allows it to process copious amounts of data. As AI’s tasks continue to become more advanced, there’s also an increase in computational power necessary-which can become expensive. In order to avoid this need, AI was made to be a specific purpose learner. If AI gains the ability to relate data that is similar, it should be able to more efficiently process the data and understand it with a lower amount of power.

AI makes you look better in selfies, prevents blindness, and can even turn water into tastier beer. Tech giants and governments say we’re living in a golden age of AI. Roll out the self-driving cars!

AI is already used in multiple disciplines and industries. These devices are capable of reading, writing, speaking, seeing, and understanding. They are able to recognize emotions, play games, and even debate. Due to these capabilities, AI is often leveraged as a virtual assistant that can help plan meetings; as a tool to simplify the job hunting and hiring processes; and much more.

However, in order for this technology to be able to advance, it needs to be able to learn.

AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.

ANNs can be trained to recognise patterns in information - including speech, text data, or visual images - and are the basis for a large number of the developments in AI over recent years.

Conventional AI uses input to 'teach' an algorithm about a particular subject by feeding it massive amounts of information.  

Practical applications include Google's language translation services, Facebook's facial recognition software and Snapchat's image altering live filters.

The process of inputting this data can be extremely time consuming and is limited to one type of knowledge.

A new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, which allows them to learn from each other.

This approach is designed to speed up the process of learning, as well as refining the output created by AI systems.

If you want to learn artificial intelligence then you can enrol for one of the best resources i.e. Artificial Intelligence Course Technogeeks. This training is led by trainers who are AI experts. Besides, at the end of the training, they also awarded me an AI course completion certificate.

Learn Differences Between Data Science and Machine Learning

Study machine learning concepts and methods, test your skills and reveal insights from your cloud data using Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

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