ABCs of AI and Deep Learning
The 365 Team
Artificial intelligence is a trending topic that intrigues and perplexes. But what is it, and how does it work? Our comprehensive ABCs of AI and Deep Learning Infographic introduces you to the basics of artificial intelligence through its deep learning foundations.
Arranged alphabetically, this glossary provides an overview of essential terms and phrases that define deep learning and AI concepts. Each letter of the alphabet represents methodologies, such as convolutional neural networks, natural language processing, and Xavier initialization.
Use the ABCs of AI and Deep Learning Infographic to foster your curiosity and navigate the complexities of these transformative technologies.
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Check out our most helpful downloadable resources according to 365 Data Science students and our expert team of instructors.
How to Become a Data Analyst Intern
In the highly competitive data science job market, data analyst internships are a perfect way for you to gain hands-on experience working with data to answer critical business questions, learn important soft skills and expand your networking circle for career growth. The 365 Data Science Data Analyst Intern infographic will show you how to get a data analyst internship by going over the position responsibilities, the required technical skills and educational background for the data analyst position.
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World of Supervised Machine Learning
Тhe introduction of Artificial Intelligence and its subset Machine Learning have introduced a whole new paradigm of possibilities in the realm of data related activities. In this visually beautiful World of Supervised Machine Learning infographic, we are giving essential information on all the different types of supervised machine learning, starting from the least complex - Linear Regression, to the most complex- XGBoost. Some of the things you will learn in this free pdf infographic are the advantages and disadvantages of each type, their algorithm speed, preprocessing, starter datasets and areas of application.
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The 365 Data Science All In One Infographic
Data science is a relatively new field that combines various disciplines like mathematics, statistics, machine learning, data analytics and programming, which is why coming to a universal definition and understanding of this ever growing field is quite the challenge. Despite that, the 365 Data Science Team has united their efforts to create a comprehensive overview of the data science field. This free 365 Data Science pdf infographic covers the types of data, the associated data techniques, the data related professions, places of application and more, giving you a holistic picture of data science.
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How to Become a Business Analyst
The business analyst is one of the most dynamic roles in a company, as they are tasked with the responsibility to bridge the organization’s information technology capabilities with its business goals. Combined with a high-paying salary and room for career growth , the position is a highly desired career by many business professionals. Therefore, we have created this free pdf infographic that is going to cover what does a business analyst do, salary information, business analyst skills requirements and career path to show you what to expect and decide for yourself if this is the right career for you.
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How to Prompt ChatGPT Effectively
ChatGPT is a powerhouse AI algorithm transforming how we lead, work, and brainstorm. By typing our desired output as a prompt into ChatGPT, the generative AI model returns an actionable, informed response that meets your needs. Accelerate your productivity by learning how to interact with this indispensable tool. Our How to Prompt ChatGPT Effectively infographic is a structured resource that guides you in creating effective prompts for ChatGPT. Construct practical prompts that generate insightful responses and inspire creative solutions. To boost your productivity and stay current, you must take advantage of the best tools at your disposal. So, start engaging with ChatGPT like a pro and future-proof your skills.
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How to Become a Research Analyst
The research analyst is an entry-level position that is responsible for helping a company coordinate its research related activities and investigate special requests. They serve as task leads across the departments within a company, coordinating between stakeholders, project teams, master data teams and team leaders. The dynamic and responsible nature of the job gives the necessary experience for individuals to grow into future analytics managers and data scientists. Therefore, in this free pdf infographic on How to Become a Research Analyst, we are going to describe the research analyst profile, job responsibilities, average salary numbers, required skills and more, so you can start on the right foot.
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How to Become a Marketing Analyst
The overall goal of a marketing analyst is to discover and present marketing insights by working with the company’s pool of data to increase marketing and sales performance Therefore, the marketing analyst job is a highly dynamic role that requires a combination of strong communication, analytical and marketing skills. If you want to go into greater detail on what is a marketing analyst, what does a marketing analyst do, what are the required marketing analyst skills and what is the marketing analyst career path then check out the free pdf infographic on How to Become a Marketing Analyst.
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AI Ethics Consideration
As deep learning and artificial intelligence rapidly evolve, it’s essential to consider how their development affects the broader community. In other words, we shouldn’t ignore the ethics of AI and its implications. With this informative AI Ethics Considerations infographic, we look at the ethics in artificial intelligence to answer the question, “Is AI actually ethical?” By examining scenarios like copyrighted materials and biased data through the AI lens, we present potential ethical issues for companies and end users. This resource aims to create a broader conversation about the development of a more responsible and ethical use of AI models. Artificial intelligence will continue to shape our future, and we should harness the transformative power that automatization brings us. We also present a list of potential remedies to facilitate a more considerate approach that caters to the broader human experience and creates more ethical AI models.
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