9 Best Programming Languages for AI [2021 Project Guide]
Springboard Blog » Machine Learning
by Lizzie Parmenter
2y ago
Artificial intelligence adoption has exploded over the past 18 months, and a wealth of organizations across industries have reported plans to expand their AI strategies this year. AI has the capacity not only to optimize operational processes, but to create innovative business models, products, and services—which is why a majority of business leaders feel positive about the future impacts of AI.  This digital transformation has sparked a growing demand for AI practitioners. In fact, AI-related hiring increased by 165% between July 2020 and August 2021. To land a job in the field, you’ll n ..read more
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12 AI Certificates Programs To Boost Your Career in 2022
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
Over the last few years, AI has become the pillar of every technology and business industry, resulting in a massive demand for AI professionals worldwide. If you’re looking for a way to join the movement and be a part of the AI success and development, then an AI certificate is for you.  There’s no shortage of online and in-person certificate courses to certify your skills in AI, but they’re not all created equal. Some are vague in their approach, while others are highly specific. To help guide you on your journey, we’ve compiled 13 AI certificate programs to help you advance your career ..read more
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How to Become a Freelance Artificial Intelligence Engineer
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
Artificial intelligence aims at imparting human cognitive abilities to machines and business processes. Just imagine how smart machines would get with artificial intelligence giving them the skills of reasoning and human-like thoughts. Artificial intelligence has always looked at building systems with human intelligence for better task execution and efficiency. Over the last few years, there has been significant progress in the fields of machine learning and deep learning, which has led to an enhanced ecosystem for AI applications in business processes. Artificial Intelligence today is finding ..read more
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What is Logistic Regression? A Guide to the Formula & Equation
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
As an aspiring data analyst/data scientist, you would have heard of algorithms that help classify, predict & cluster information. Linear regression is one of the most common machine learning algorithms that is used in solving data problems, followed by the infamous logistic regression. Why infamous? Because it disguises as a regression algorithm, just like linear regression. But don’t get confused, logistic regression is, in fact, a classification algorithm. It is used to estimate discrete values (binary values like 0/1, yes/no, true/false) based on a given set of independent variable(s ..read more
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AI in Finance & Banking: 11 Ways It’s Changing the Industry
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
In 1950, when Alan Turing questioned whether machines could think, no one knew how much capability artificial intelligence would have more than 70 years later. This question alone gave rise to complex concepts like machine learning (ML), robotics, deep learning, expert systems, neural networks, and all of what we now know as artificial intelligence (AI).  ‌Over the years, AI has found its way into every single industry, disrupting the norm and status quo. The banking and finance industry hasn’t been left out and below are some of the ways AI in finance is redesigning the industry. ‌H ..read more
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Future Scope of Machine Learning: What’s to Come for Work & Business
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
By equipping machines with the ability to ‘learn’ to mimic human behaviour, machine learning is automating menial and repetitive tasks, delivering better insights from data, and even making cars drive themselves. If the present state of ML is exciting as it is, the future of machine learning opens up significantly more and highly complex opportunities for technologists. Let’s look at them one by one. The Future Scope of Machine Learning: Top Use Cases “Machine learning is the process of automatically getting insights from data that can drive business value”, says Lavanya Tekumalla, founder of ..read more
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How Will Artificial Intelligence Affect Our Lives in the Future?
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
As a curious tech enthusiast, a few days back, I was reading about the buzzwords of this century, Artificial Intelligence and Machine Learning, it was completely fascinating how these technologies are changing and are likely to change the coming future of human life on earth. That is the reason, I have decided to dedicate this article on Artificial Intelligence Future so together we can explore the possibilities of a new era with machine learning and artificial intelligence.  Artificial Intelligence Future – Less Artificial, More Intelligent “[AI] is going to change the world more than an ..read more
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How Can You Get an Artificial Intelligence Internship?
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
Isn’t it mind-blowing that what was once thought of as impossible is now a reality? The credit goes to Alan M. Turing, the man behind the concept of Artificial Intelligence (AI). We all know that AI or the incredible feat of creating machines that can perform intelligent tasks has already made its way into various fields. Whether it’s in healthcare systems, cybersecurity, video games, smart assistants or automotive systems, the application of AI has created new possibilities and hopes for the days to come. Now, while you have a basic understanding of AI and its applications, it is also importa ..read more
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Tensorflow 1.0 vs Tensorflow 2.0: What’s the Difference?
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
TensorFlow 1.0 vs TensorFlow 2.0 has been the point of focus for data learning enthusiasts across the world ever since Google released TensorFlow 2.0. Google Brain launched TensorFlow 1.0 in 2017, whereas the updated version i.e TensorFlow 2.0’s release date was September 30, 2019. TensorFlow quickly became the most popular open-source ML library. And now with the release of TensorFlow 2.0, even beginners can execute deep learning tasks.   Here are some TensorFlow facts:  TensorFlow is transforming all genres of industries including pharma, healthcare, banking, or agriculture ..read more
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RNN vs CNN: Which Neural Network is Right for Your Project?
Springboard Blog » Machine Learning
by Sakshi Gupta
2y ago
When it comes to choosing between RNN vs CNN, the right neural network will depend on the type of data you have and the outputs that you require. While RNNs (recurrent neural networks) are majorly used for text classification, CNNs (convolutional neural networks) help in image identification and classification. There are a lot of differences between the two, but that does not mean they are mutually exclusive. It’s also possible for you to use both RNNs and CNNs together in order to leverage their benefits. In this article, we’ll discuss what is the difference between RNN and CNN, and when ..read more
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