Reinforcement learning is the most trending type of ML as it can solve a wide range of complex decision-making tasks
Nowadays, Deep Reinforcement Learning is one of the hottest topics in the Data Science community. The fast development of RL has resulted in the growing demand for easy-to-understand and convenient-to-use RL tools. In recent years, plenty of RL libraries have been developed. These libraries were designed to have all the necessary tools to both implement and test Reinforcement Learning models. Still, they differ quite a lot. That’s why it is important to pick a library that will be quick, reliable, and relevant for your RL task. The “deep” portion of reinforcement learning refers to multiple (deep) layers of artificial neural networks that replicate the structure of a human brain. This article features the top 10 reinforcement learning in Python courses to take up in 2022.
Advanced AI: Deep Reinforcement Learning in Python- Udemy
This course is all about the application of deep learning and neural networks to reinforcement learning. Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level.
Reinforcement Learning with Python- Great Learning
This free course starts by providing you with an introduction to Reinforcement Learning. You will get a brief understanding of what Reinforcement Learning is and what vital role it plays. You will learn and understand the framework of Reinforcement Learning. You will then learn about the model-free Reinforcement Learning algorithm called Q-learning. You will get in-depth knowledge of how it works and what output must be expected.
Artificial Intelligence: Reinforcement Learning in Python- Udemy
Reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is very different from both supervised and unsupervised learning. It’s led to new and amazing insights both in behavioral psychology and neuroscience. As you’ll learn in this course, there are many analogous processes when it comes to teaching an agent and teaching an animal or even a human. It’s the closest thing we have so far to a true artificial general intelligence.
Cutting-Edge AI: Deep Reinforcement Learning in Python- Udemy
This course is going to show you a few different ways: including the powerful A2C (Advantage Actor-Critic) algorithm, the DDPG (Deep Deterministic Policy Gradient) algorithm, and evolution strategies. Evolution strategies are a new and fresh take on reinforcement learning, that kind of throws away all the old theories in favor of a more “black box” approach, inspired by biological evolution.
Reinforcement Learning Specialization- Coursera
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.
Machine Learning with Python: from Linear Models to Deep Learning- edX
This course provides an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. You will understand the principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning. Also, you will be able to implement and analyze models such as linear models, kernel machines, neural networks, and graphical models.
Deep Learning on Azure with Python: Reinforcement Learning- Future Learn
This machine learning course focuses on reinforcement learning and how it uses artificial intelligence to find the best possible solution to complex problems involving multiple decisions. Discover reinforcement learning in this course covering how to frame reinforcement learning problems, algorithms, and more.
Practical Reinforcement Learning using Python – 8 AI Agents- Udemy
This course guides you through a step-by-step process of building state-of-the-art trading algorithms and ensures that you walk away with the practical skills to build any reinforcement learning algorithm idea you have and implement it efficiently.
Reinforcement Learning beginner to master – AI in Python- Udemy
This is the most complete Reinforcement Learning course on Udemy. In this course, you will learn the basics of Reinforcement Learning, one of the three paradigms of modern artificial intelligence. You will implement from scratch the adaptive algorithms that solve control tasks based on experience. You will also learn to combine these algorithms with Deep Learning techniques and neural networks, giving rise to the branch known as Deep Reinforcement Learning.
Deep Reinforcement Learning: Hands-on AI Tutorial in Python- Udemy
In this course you will learn the concepts and fundamentals of reinforcement learning, its relation to artificial intelligence and machine learning, and how you can formulate a problem in the context of reinforcement learning and the Markov Decision Process. It covers different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. It presents the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.
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Why Hashing Is Critical In Ensuring Sage Encryption In Cyber Security
Hashing is really important for integrated encryption in cyber security
Assuming you work in the innovation or cyber security industry, odds are you’ve known about the term hashing. Hashing is a cryptographic cycle that can be utilized to approve the authenticity and integrity of different sorts of info. It is generally utilized in authentication frameworks to try not to store plaintext passwords in data sets, but at the same time is utilized to approve records, archives, and different sorts of information. Wrong utilization of hashing capabilities can prompt serious information breaks, yet not utilizing hashing to get delicate information, in any case, is much more terrible.
Albeit many individuals might utilize the terms hashing and encryption reciprocally, hashing is constantly utilized for the motivations behind one-way encryption, and hashed values are truly challenging to disentangle. Encryption generally offers an unscrambling key, while hashed data can’t be decoded effectively and is intended to be utilized as a strategy for approving the integrity of an item or piece of information.
As you might have speculated at this point, hashing is essentially utilized for security. A hashed esteem has many purposes, yet it’s principally intended to encode plain text esteem so the encased data can’t be uncovered. Hashing has numerous applications in cyber security. The most well-known ones are message integrity, password validation, record integrity, and, all the more, blockchain technology. Every one of these utilization cases depends on the center capability of hashing: to forestall impedance or altering of data or a document.
Hashing is a one-way cryptographic capability while encryption is intended to work the two different ways. Encryption calculations take input and a mystery key and create an irregular-looking result called a ciphertext. This activity is reversible. Anybody who knows or acquires the mystery key can unscramble the ciphertext and read the first information.
The integrity of an email depends on a one-way hash capability, commonly alluded to as a computerized signature, that is applied by the source. Computerized marks give message integrity through a public/confidential key pair and the utilization of a hashing calculation.
To carefully sign an email, the message is scrambled utilizing a one-way hashing capability and afterward endorsed with the source’s confidential key. Upon receipt, the message is unscrambled utilizing the source’s public key, and the equivalent hashing calculation is applied. The outcome is then contrasted with the underlying hash worth to affirm it matches. A coordinating worth guarantees the message hasn’t been messed with, while a crisscross shows the beneficiary can never again trust the integrity of the message.
In validation frameworks, when clients make another record and information their picked secret word, the application code goes that secret word through a hashing capability and stores the outcome in the data set. At the point when the client needs to confirm later, the interaction is rehashed and the outcome is contrasted with the worth from the information base. On the off chance that it’s a match, the client gave the right secret key.
Hashing works along these lines for record uprightness. Periodically, innovation merchants with freely accessible downloads give what is alluded to as checksums. Checksums approve that a record or program hasn’t been changed during transmission, normally a download from a server to your neighborhood client.
Hashing has been and keeps on being a significant security instrument for making information incoherent to the natural eye, forestalling its capture by noxious people, and giving a method for approving its integrity. Throughout the long term, hashing calculations have become safer and further developed, making it hard for troublemakers to figure out hashed values. In spite of the fact that hashes will continuously be crackable, the complex numerical tasks behind them alongside the utilization of salts and nonces make it less conceivable without huge measures of processing power.
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Top 10 AI Companies That Are Revolutionizing The Education Ecosystem In 2022
These AI companies are transforming the education industry to impart effective knowledge
Machine learning and artificial intelligence are the primary drivers of growth and innovation across all industries, and the education sector is no different. AI-powered solutions that are being integrated into the edtech space are making things quite easy for educators. Virtual learning has been quite effective for modern students. Here, we have enlisted the top AI companies that are revolutionizing the education domain in 2022.
Osmo is known for merging tactile exploration with innovative technology, actively engaging children in the learning process. The main aim is to make children interact with technology without losing the value of hands-on play. Osmo has expanded its family of games to include Numbers, Masterpiece, Coding Awbie, Monster, and Pizza Co., incorporating unique characters, such as Awbie, Mo the Monster, and the Pizza Co. gang.
Carnegie Learning is a comprehensive, dynamic, and progressive learning technology company. Advocating a belief in teaching and determination to help students develop as learners and thinkers, Carnegie Learning is seeking to redefine the role of technology across the K-12 landscape. It delivers research-proven, high-quality core and supplemental solutions in math, world languages, ELA and literacy, computer science, and biotech, as well as best-in-class K-12 professional learning services.
Using learning science, artificial intelligence, and neuroscience, Century Tech creates constantly adapting pathways for students and powerful assessment data for teachers. It helps to boost learning with intelligent personalization to enhance student engagement and deep understanding efficiently and effectively. The actionable data insights tend to support targeted interventions seamlessly with cutting-edge technologies.
Knewton puts achievement within reach for all learners with adaptive technologies and products that deliver personalized and lasting learning experiences. Educators, schools and universities, and education companies around the world use Knewton to power and provide digital courses that dynamically adapt to each student’s unique needs. More than 14 million students around the world have used Knewton-powered courses to date. It designs the best adaptive technology that delivers lasting impact to put achievement within reach for all.
Memrise is an award-winning language learning system with over 50 million users. Specializing in combining cognitive science, powerful tech, and entertaining content, Memrise makes language learning genuinely recreational. It offers 200 language combinations across 24 languages on its website, and, iOS and Android apps. By leveraging lots of brain science and plenty of humor, the team is striving to enrich people’s consciousness and help people achieve confident, real-world language skills in just a few short months.
Novakid is a next-generation early English learning platform that allows kids around the world to learn English through remote practice with native-speaking teachers and engagement with AI-powered games and training apps. These modern technologies can promote English speaking and comprehension based on the use of authentic content in the English language. It uses an immersive approach to language learning making it easier for kids to maintain focus and gain knowledge efficiently and effectively.
Alibaba Cloud develops highly scalable cloud computing and data management services providing large and small businesses, financial institutions, governments, and other organizations with flexible, cost-effective solutions to meet their networking and information needs. A business of Alibaba Group, one of the world’s largest e-commerce companies, Alibaba Cloud operates the network that powers Alibaba Group’s extensive online and mobile commerce ecosystem and sells a comprehensive suite of cloud computing services to support sellers and other third-party entities participating in this ecosystem.
Practically is India’s first experiential learning app designed to make learning immersive for students of classes 6-12. It offers a comprehensive library of more than 3000 world-class 3D videos, and over 1000 AR experiences and simulations. It is the world’s first EdTech company to launch the revolutionary #ScanAnything feature with live classes, dedicated mentor support, study plan, test prep, and coding++ course along with an AI Study Buddy Proton, 24×7 Seek Help feature for doubt resolution.
Mindler is a comprehensive career guidance and mapping platform shaping the career guidance landscape by empowering students, educators, and parents. Using automated career guidance tools and solutions blended with in-depth research it is empowering educators and students to adopt a scientific approach to career decision-making. It is a venture conceptualized and run by alumni of ISB, IIT, IIM, Harvard, and the world’s preeminent psychometricians by leveraging cutting-edge technologies like big data analytics and machine learning.
EMBIBE is the most powerful education platform ever invented, that brings together world-class content, aligned to every prescribed school and test prep curriculum, in every language. It has patented artificial intelligence that forensically tracks and fixes gaps in learning, behavior, and skills ensuring your performance always matches your maximum potential. It helps to experience how concepts come to life with a wide range of exciting content through 3D technology.
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Top Metaverse Trends In 2022 And Beyond
Here are the top Metaverse trends to look out for in 2022.
Metaverse is fame is growing especially with the help of various major businesses, including Facebook. Here are the top trends to look out for in 2022.
Using Coins in the Metaverse
Metaverse coins are one of the most talked-about topics in the Crypto world lately. It is estimated that the interest of large companies in metaverse projects will continue in 2022. It has been announced that nearly 100 coin projects will be realized in 2022, leading the major metaverse coin projects such as AXS, MANA, and SAND.
Beauty Industry will Enter Metaverse
Cosmetics Business, the most followed cosmetics magazine in its field, recently published the beauty trends that will shape the sector in 2022. Many cosmetic brands, especially veteran brands such as Beiersdorf, L’Oreal, Estee Lauder, Louis Vuitton Moet Hennessy, NARS Cosmetics, Jo Malone, Shiseido, Holition, and Dior Beuty, will sell make-up materials for 3D avatars and will develop NFTs on online platforms and games in 2022.
Disney will Move into the Metaverse
Disney, the producer of many successful animated films and the creator of famous cartoon figures such as Mickey Mouse, is preparing to move into the metaverse universe. CEO Bob Chapek recently hinted that they are working on launching the Disney Metaverse. Chapek said it will unlock “limitless potential” for the metaverse to enhance the entertainment experience for both the physical and digital worlds.
Intel will Enter Metaverse
Intel, a technology company based in California’s Silicon Valley, is poised to enter the Metaverse realm. The company, which thinks that the infrastructure is insufficient for now, said that they are working on new software and updates. The company, which thinks that the existing infrastructure is insufficient to implement the Ready Player One concept, announced that it will continue its work in 2022.
H&M Opened a Store in the Metaverse
H&M, an international retail clothing company based in Stockholm and operating in the ready-to-wear industry, will be the first retail clothing store in the metaverse universe. H&M, which opened its first virtual store in the city of “CEEK” created on Metaverse, the virtual universe, provides its customers with the opportunity to shop on Metaverse. Ceek Coins will be used to shop at H&M’s Metaverse Store. In 2022, it is planned to develop the H&M store chain within this universe with projects to be made with famous singers and brands.
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