Gunjan  Khaitan

Gunjan Khaitan

1620868183

AI And Machine Learning Full Course | Artificial Intelligence & Machine Learning Course

This complete Artificial Intelligence and Machine Learning full course video cover all the topics that you need to know to become a master in the field of AI and Machine Learning. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. You will see the top 10 applications of AI in 2021. Then, we will understand Machine Learning and Deep Learning and the different algorithms used to build AI models. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2021.

What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

About Simplilearn Artificial Intelligence Course:
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

Key Features:
✅ 3.5 hours of enriched learning
✅ Lifetime access to self-paced learning
✅ Industry-recognized course completion certificate

Eligibility:
This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.

Pre-requisites:
There are no prerequisites for opting for this Introduction to Artificial Intelligence for beginners. It does not require a programming or IT background, making it ideal for professionals from all walks of corporate life.

#ai #artificial-intelligence #machine-learning #big-data #developer

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AI And Machine Learning Full Course | Artificial Intelligence & Machine Learning Course
Ananya Gupta

Ananya Gupta

1601875752

AI(Artificial Intelligence): The Business Benefits of Machine Learning

Artificial intelligence has been around since a minimum of the 1950s, but it’s only within the past few years that it’s become ubiquitous. Companies we interact with every day— Amazon, Facebook, and Google—have fully embraced AI. It powers product recommendations, maps, and social media feeds.

But it’s not only the tech giants that will employ AI in their products. AI solutions are now accessible to several businesses and individuals. And it’s becoming clear that understanding and employing AI is critical for the companies of tomorrow.

What Is AI?
In the last 20 years, there are major changes in technology—notably the arrival of the mobile. But the innovation that’s on par with inventing electricity is AI.

Machine Learning
Machine learning may be a subset of AI and maybe a set of techniques that give computers the power to find out without being explicitly programmed to try to so. One example is classification, like classifying images: during a very simplistic interpretation, for instance, a computer could automatically classify pictures of apples and oranges to travel in several folders. And with more data over time, the machine will become better future scope and career oppertunity for students who want to make career in Machine Learning.

Deep Learning and Neural Networks
Deep learning may be a further subset of machine learning that permits computers to find out more complex patterns and solve more complex problems. one among the clearest applications of deep learning is in tongue processing, which powers chatbots and voice assistants like Siri. It’s the recent advent of deep learning that has particularly been driving the AI boom.

And all of those are supported neural networks, which is that the concept machines could mimic the human brain, with many layers of artificial neurons. Neural networks are powerful once they are multi-layered, with more neurons and interconnectivity. Neural networks are researched for years, but only recently has the research been pushed to the subsequent level and commercialized.

AI Business Benefits
Now that you simply have a conceptual understanding of AI and its subsets, let’s get to the guts of it: what can AI do for you and your business? We’ll explore highlights within five areas: human resources, accounting, legal, marketing and sales, and customer support.

Human Resources
Artificial intelligence poses a big opportunity in process automation. One example would be recruitment and human resources. As an example, tasks like onboarding and administration of advantages are often automated.If you want to learn deep about AI then join Artificial Intellegence class in Noida and get offer to work on live projects.

Accounting
The dutiful accountant, languishing over the bookkeeping—it’s a classic image. But now many of their services might not be needed. Many traditional bookkeeping tasks are already being performed by AI. Areas like accounts payable and receivable are taking advantage of automated data entry and categorization.

Legal
Some of the foremost fascinating advancements in AI are associated with law and legal technology. Specifically, AI can now read “legal and contractual documents to extract provisions using tongue processing.” Blue J Legal’s website touts the platform’s ability to help with employment law. The Foresight technology “analyzes data drawn from common law cases, using deep learning to get hidden patterns in previous rulings.” briefly, cases can now be analyzed much faster, insights are often drawn from across a good array of legal knowledge, and thus business decisions are often more accurate and assured.

Sales and Marketing Analytics
Analytics can now be done much more rapidly with much larger data sets because of AI. This has profound impacts on all kinds of data analysis, including business and financial decisions.

One of the quickly changing areas is marketing and sales applications. AI makes it easier to predict what a customer is probably going to shop for by learning and understanding their purchasing patterns.

Customer Support
You’ve been there. Waiting forever on a customer support line. Perhaps with a cable company or an enormous bank. Luckily, AI is close to making your life easier, if it hasn’t already.

According to the Harvard Business Review, one of the most benefits of AI is that “intelligent agents offer 24/7 customer service addressing a broad and growing array of issues from password requests to technical support questions—all within the customer’s tongue .” For customer support, a mixture of machine and deep learning can allow queries to be analyzed quicker.

Conclusion
With AI becoming ever more pervasive, having a fundamental understanding of it’s a requirement for continued business success. Whatever role you hold in your business, understanding AI may assist you to solve problems in new and innovative ways, saving time and money. Further, it’s going to assist you to build and style the products and services of the longer term.

#machine learning online training #machine learning online course #machine learning course #machine learning training in noida #artificial intelligence training in noida #artificial intelligence online training

Ananya Gupta

Ananya Gupta

1615455046

Start a Career in Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.

The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.

AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!

The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:

Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.

Subsets of Machine Learning

Neural Networks
Natural Language Processing (NLP)
Deep Learning

How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.

Specific Jobs in AI

  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence (BI) Developer

The Future of AI

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.

If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.

#artificial intelligence online training #artificial intelligence online course #artificial intelligence training in noida #artificial intelligence training in delhi #artificial intelligence training #artificial intelligence course

Unlock Your Career in Artificial Intelligence and Machine Learning

The significance of artificial intelligence and machine learning (AIML) has increased by much in technology in recent years. It has gone to a point where they are helping businesses gain an advantage over their competitors.

With the ever-increasing volumes of data generated each day, it becomes essential to process it in real-time.

This is where AIML comes into the picture as the technology can help process and analyze volumes of data within minutes. The relevance of IoT devices, too, has been on the rise.

More and more people are making use of cloud storage, wearables, sensor-enabled devices, and other IoT devices. AI and ML have thus occupied a large chunk of technological developments in the past few years.

The growth of AI has also prompted premium Edu-Techs like Great Learning to nurture the upcoming talent that meets the demands of the industry.

Through an industry-relevant curriculum, they are creating a talent pool that will be ready to meet the challenges and help the industry grow.

It gives aspiring IT professionals a solid foundation to boost their career prospects by learning AI and ML. Both technologies are bringing about a significant transformation in the digital space through continuous innovation.

As technology continues to grow, it presents the best opportunity for IT professionals to advance their career in AI and ML. In this article, we will take an in-depth look at the different applications of technology, the latest trends, its future, and how you can get started to learn artificial intelligence & machine learning.

#artificial-intelligence #ai #machine-learning-course #online-courses #career #ai-and-ml #machine-learning #good-company

Michael  Hamill

Michael Hamill

1617368520

How are deep learning, artificial intelligence and machine learning related

So you find yourself saying “Well, it’s time we step on to digital transformation for our organization. Let’s look at the technologies we can implement.”

When you complete saying that sentence, the first thing that comes to your mind is Artificial Intelligence(AI) systems. You think of intelligence machines that can execute tasks on their human and make insightful decisions — like Sophie or Watson.

“So artificial intelligence(AI) is what we need.”, you say to yourself

Yes and No. Yes, in the sense that AI machines are useful for digital transformation.

No in the sense that you will integrate Artificial Intelligence with the help of algorithms which build the foundation for these systems. So you are not integrating AI but the algorithms that make AI machines work.

Here’s a simple explanation — The process that you want to improve through digital transformation will be optimized through AI machines.

These machines will be developed using a subset of AI — Machine Learning Algorithms. To go further deep — your organization can also implement Deep Learning — a subset of Machine Learning.

#artificial-intelligence #machine-intelligence #deep-learning #machine-learning #machine-learning-ai

Artificial Intelligence: The Future of Modern Life Or a Cruel Deterrence?

Artificial Intelligence is now one of the most important emerging technologies to attempt to imitate human reasoning in AI networks. The benefits of Artificial Intelligent Software are tremendous and will revolutionize almost any industry. This technology is still in its early stages and there are many pros as well as cons of this technology. Although we cannot foresee the future, Artificial Intelligent software has the potential to significantly impact all industries and even society as a whole.
In the future, we are likely to see a vast improvement in AI technology and we will no longer need humans to operate those systems which make machines. We will also no longer need humans to program them. Nevertheless, the main question that remains is whether or not artificial intelligence is “good enough” and whether or not we are ready for that drastic change in our way of life. To date, we still have a long way to go and researchers are continuously making breakthroughs.

#ai #artificial intelligence #artificial intelligence (ai) #artificial intelligence and machine learning #ai algorithm #ai advantage