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Python Machine Learning Tutorial – Tasks and Applications
Python Machine Learning Tutorial – Tasks of Machine learning
Python Machine Learning Tutorial – Applications of Machine learning
Python Machine Learning Tutorial – Companies
Python Machine Learning Tutorial – Apple
With the rising competition, it is the technology and the end user that benefits. Apple paid $200 to purchase Lattice Data, which can convert unstructured data into a structured form using ML. It also develops in-house machine learning systems.
Python Machine Learning Tutorial – Google
Google offers, to developers, multiple cloud-based services. One of these is the Google Cloud AI machine learning tools. Recently, Google launched an AI chatbot that will answer messages for you. This is like a sophisticated auto-response email.
Python Machine Learning Tutorial – Microsoft
Microsoft purchased LinkedIn a few years ago at $26 billion and has lately been the third-biggest spender on acquisitions. Maluuba, a Canadian tech company that houses a very impressive deep learning research lab for Natural Language Understanding.
Python Machine Learning Tutorial – Twitter
Ever since Facebook changed its algorithm to favor posts from friends and family over news articles from reputed sources, Twitter’s profitability has raised. Here, machine learning makes it possible to find out what people might be interested in and curate content for them.
Python Machine Learning Tutorial – Intel
Intel is the largest chipmaker in the world. In the last few years, it acquired Nervana Systems (manufacturer of chips for data center servers) at a capital of $400 million. Nervana chips can transfer data at around 2.4 terabytes per second at a low latency.
Have a look at the advantages & disadvantages of Machine learning
Python Machine Learning Tutorial – Baidu
Baidu is a Chinese search giant and takes a keen interest in Natural Language Processing. It also aims to develop a functioning voice-activated search facility. Recently, it acquired Kitt.ai, which has a portfolio of chatbots and voice-based applications. Very easily, Baidu is the 10th largest spender on acquisitions.
Python Machine Learning Tutorial – IBM
Back in the 1990s, IBM challenged Garry Kasparov, Russia’s greatest chess player, to a match against Deep Blue, a computer by IBM. Kasparov won the first match and flunked the next few. Later, computer Watson AI beat contestants on the quiz show Jeopardy!. More recently, the machine won the ancient board game ‘Go’ in a recent human-vs-machine contest.
Python Machine Learning Tutorial – Salesforce
Salesforce is the sixth-largest buyer of AI companies over the last five years, CB Insights claims. Recently, it said it had a year of ‘Einstein’ technology- one that analyzes each aspect of a customer’s relationship with a company.
Python Machine Learning Tutorial – Pindrop
Pindrop claims to present a pioneering technology for recognizing fraudulent activity over the phone channel. In what it calls ‘phoneprinting’, for every call, it analyzes 1,300 unique call features and creates an audio fingerprint for each. Such features include noise, location, number history, and call type. It flags suspicious calls and can spot ID spoofing, voice distortion, and social engineering.
Python Machine Learning Tutorial- Qubit
Qubit has an AI-powered personalized shopping app, Aura. This has a database of products in a range of categories like fashion, clothing, and cosmetics. Pending patents suggest an Instagram-like feed of product images.
So, this was all in Python Machine Learning Tutorial. Hope you like our explanation of Machine Learning Python Course.
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