INVEST IN ARTIFICIAL INTELLIGENCE! 💰
What do you think of AI? 🤔 Share your thoughts in the comments or shoot me a DM and let’s talk about it.
AI is not easy to develop. There needs to be access to huge amounts of data, so as to find patterns. What’s more, AI requires top-notch data scientists. As should be no surprise, this kind of talent is in short supply nowadays.
Because of all this, when it comes to finding artificial intelligence stocks, they are usually larger companies.
These companies however, stand out to me.
Follow us @entrepreneurs_academy and @thefinancebulls for more! 💰
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3 days ago
The process of raising one eyebrow is actually a process of raising both eyebrows but keeping one down. So people who can't "raise their left eyebrow" are actually incapable of keeping their right eyebrow down. ⠀
☺️ Machine Learning India (MLI), under QAIL (@quinkle.ai), is a thriving community of seventy thousand ardent - artificial intelligence enthusiasts across India. We at MLI, believe that India has the potential to position itself among leaders, on the global technology map. The truly transformative nature of AI technology, yet the nascent stage of its adoption worldwide, provides India with an opportunity to define its own brand of AI leadership.
The goal of MLI is to reduce the skill-gap in India, by creating a vibrant AI ecosystem and talent pool; thereby leading our country to have a significant take in the global AI revolution. To pursue the same, we intend to democratize quality technical education and make it available to all.
1. To provide the highest quality technical education possible.
2. To create an AI ecosystem in India.
3. To actively work towards reducing the skill-gap in the country.
4. To develop as an institution of excellence in education and research in consonance with the contemporary and future needs of India.
Our programs focus on providing our audiences - a broad understanding of the techniques used for building intelligent computer systems. The goal is to lay a solid foundation of all the emerging, cutting edge technologies and enable the participants to apply the knowledge to real life problems. 💯
🚨 Our upcoming events:
Pune: Careers in Artificial Intelligence, 24th of August. Register: bit.ly/CareersInAI
Bangalore: Foundations of Machine Learning, 28th of September. Register: bit.ly/mli-foml
Picture credits: @_rishikesh_borse_
📈 Machine Learning is a method of statistical learning where each instance in a dataset is described by a set of features or attributes. In contrast, the term “Deep Learning” is a method of statistical learning that extracts features or attributes from raw data. Deep Learning does this by utilizing neural networks with many hidden layers, big data, and powerful computational resources. The terms seem somewhat interchangeable, however, with Deep Learning methods, the algorithm constructs representations of the data automatically. In contrast, data representations are hard-coded as a set of features in machine learning algorithms, requiring further processes such as feature selection and extraction, (such as PCA).
Both of these terms are in dramatic contrast with another class of classical artificial intelligence algorithms known as Rule-Based Systems where each decision is manually programmed in such a way that it resembles a statistical model. Image source: https://towardsdatascience.com/machine-learning-vs-deep-learning-62137a1c9842
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Un robot – El nuevo integrante de la familia
Se estima que de aquí a 2015 la tasa de penetración de los robots en el ámbito doméstico será del 14%, ayudando a las personas a mejorar su vida.
#robotica #robotic#robotics#ai#ia #inteligenciaartificial
Want to hear insights from the principal researcher in MIT’s Artificial Intelligence & Machine Learning in Supply Chains Initiative? Attend Bristlecone Pulse, where Dr. Sergio Caballero will discuss the strategic and operational impacts of emerging digital technologies, data science methods and automation in supply chains. Register here https://www.bcone.com/pulse2019 #AI#ArtificialIntelligence#SupplyChain#Digital#Technology#Automation#MITSupplyChain