7 Machine Learning Portfolio Projects to Boost the Resume
KDnuggets
SEPTEMBER 19, 2022
Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
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KDnuggets
SEPTEMBER 19, 2022
Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
KDnuggets
DECEMBER 15, 2022
Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.
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KDnuggets
JANUARY 4, 2022
Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.
How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
KDnuggets
OCTOBER 19, 2022
3 Valuable Skills That Have Doubled My Income as a Data Scientist • The Complete Free PyTorch Course for Deep Learning • 7 Free Platforms for Building a Strong Data Science Portfolio • Mathematics for Machine Learning: The Free eBook • 25 Advanced SQL Interview Questions for Data Scientists.
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“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth. respectively.
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Knowledge Hut
DECEMBER 26, 2023
Get Familiar with Applied Mathematics In machine learning and data science, mathematics isn't about crunching numbers; it's about knowing what's happening, why, and how we may try different variables to get the outcomes we want. If you're more interested in the technical side of statistics, you might not have to learn Math.
Knowledge Hut
FEBRUARY 29, 2024
Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on. It also covers OpenCV and deep learning topics for computer vision projects.
Monte Carlo
OCTOBER 11, 2023
For Google, however, AI has deep roots both in research and its product portfolio. Over the past year, we’ve seen enormous advances in AI, with leaps and bounds being made seemingly overnight.
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While CA (Chartered Accounting) was the go-to choice for commerce students, CFA has arisen to become a choice globally for students because of its comprehensive curriculum and the lucrative job opportunities it opens up in fields like Investment Banking, Portfolio Management, Financial Strategy, and Research Analysis.
Knowledge Hut
MARCH 12, 2024
Skills : The capability of a particular program language, machine learning system, and emergent technology surely raise the market value of machine learning practitioners. Skills like Python programming, TensorFlow, PyTorch, natural language processing (NLP), and deep learning are highly demanded in the industrial field.
Knowledge Hut
DECEMBER 22, 2023
Contribute to open-source AI projects and develop a portfolio showcasing your skills. Skills Development: Master programming languages like Python and Java, and learn essential AI frameworks such as TensorFlow and PyTorch. Focus on acquiring skills in machine learning, deep learning, data science and natural language processing.
Knowledge Hut
MARCH 19, 2024
Build a Portfolio: Feature your machine learning projects , accolades, and certifications on your resume to impress potential employers with your skills and experience. Machine Learning Software Engineer Courses and Certifications To excel as an ML Software Engineer, consider enrolling in the following courses and certifications: 1.
Knowledge Hut
NOVEMBER 18, 2023
In the finance sector, AI-driven decision management systems are used for credit scoring, fraud detection, and investment portfolio optimization. One of the most popular applications of this AI technology is for training deep learning models, which involves computationally intensive tasks.
Knowledge Hut
JUNE 16, 2023
Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. New generative AI algorithms can deliver realistic text, graphics, music and other content.
Knowledge Hut
NOVEMBER 17, 2023
AI encompasses several different subfields, including machine learning, deep learning, computer vision, and more. Machine Learning and Deep Learning: To fully compreheÂnd machine learning and deep learning, it is crucial to grasp the fundamental principles that underlie these technologies.
Knowledge Hut
NOVEMBER 27, 2023
Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Consider including a link to your portfolio or GitHub repository to showcase your work.
ProjectPro
JANUARY 21, 2022
Well-versed with applications of various machine learning and deep learning algorithms. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization What does a Career in Data Science Look like? Next, they must focus on understanding various deep learning algorithms.
Knowledge Hut
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Skills Depth and Breadth of Skills: AI developers with a deep understanding of various AI domains, such as machine learning, deep learning, and natural language processing, often command higher salaries due to their ability to work on diverse projects. Why are AI Developers Paid so Much?
Knowledge Hut
NOVEMBER 19, 2023
How to become: The career path for an AI engineer requires a degree in computer science or a similar field and becoming fluent with AI development tools and languages while creating an AI project portfolio. Continuous Learning: There are constant changes in the AI field.
RandomTrees
JANUARY 5, 2024
The computing power required for deep learning or computer vision models is high for training data sets but can get reduced to 1/nth in production. Tips to overcome the AI challenges Ensure that the vendor has the relevant portfolio and expertise in AI. KNN models, on the other hand, require high processing power in production.
Edureka
MAY 6, 2024
Credit Scoring : Neural networks, with deep learning methods, examine complicated connections among various factors to make credit scores more precise. ChatGPT: In finance, ChatGPT is used in several ways, such as in customer service, personal finance, market analysis, risk management, portfolio management, and financial education.
Data Engineering Podcast
MAY 25, 2020
In this online, project-based course every student is paired with a Machine Learning expert who provides unlimited 1:1 mentorship support throughout the program via video conferences. Springboard offers a job guarantee, meaning that you don’t have to pay for the program until you get a job in the space.
ProjectPro
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Access Job Recommendation System Project with Source Code Table of Contents How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias Step-2: Diversify your skills and keep them up to date Step-3: Build an attractive Project Portfolio Step-4: Start Small! Step-7: Keep Learning!
Knowledge Hut
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Artificial intelligence, Deep learning, and Machine learning are the current buzzwords in the industry. Deep learning is a branch of this impeccable machine learning and artificial intelligence. The above image represents the difference between Artificial intelligence, Machine Learning, and Deep Learning.
Knowledge Hut
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Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. The best way to become a certified data engineer is through experiential learning, the practice of learning by doing.
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In this online, project-based course every student is paired with a Machine Learning expert who provides unlimited 1:1 mentorship support throughout the program via video conferences. Springboard offers a job guarantee, meaning that you don’t have to pay for the program until you get a job in the space.
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The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. It is continually achieving better model portfolios as a result.
Knowledge Hut
JUNE 26, 2023
If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.
Knowledge Hut
JUNE 20, 2023
A good understanding of image processing algorithms and techniques Experience in deep learning frameworks such as TensorFlow and PyTorch Good communication skills and teamwork skills The average salary for an Image Processing Engineer is around $90,000 in 2023. Programming languages such as Python and C are a must.
ProjectPro
JULY 21, 2021
Good knowledge of commonly used machine learning and deep learning algorithms. 15 NLP Projects Ideas to Practice Apart from the skills mentioned above, recruiters often ask applicants to showcase their Project portfolios. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.
ProjectPro
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Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers. For machine learning, an introductory text by Gareth M.
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Aptitude for learning new big data techniques and technologies. Strong knowledge of machine learning/deep learning algorithms and related concepts. LinkedIn: Creating your portfolio of real world Azure data engineer project end to end is another option in addition to using LinkedIn for networking.
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Your task would be to use the dataset and run deep learning algorithms over to label it with either of the six following categories: buildings/forest/glacier/mountain/sea/street. Keras was designed to help data scientists effortlessly implement deep learning algorithms. GitHub has integrated itself with Google Colab.
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They Help in Building a Portfolio and Showcasing their Talent to Future Employers Software development projects can be an excellent way for students to build portfolios and showcase their skills to future employers. These skills are highly valued and are expected by all software companies. Have a look.
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.” Again, it will take at least a few years to be considered for this machine learning position, but this level of advancement in your career is less about the “time served” and a lot more about what you’ve accomplished. Get just-in-time learning and start building a diverse machine-learning portfolio now !
Knowledge Hut
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By the time the course ends, you will have a vast project portfolio that can help you find excellent job roles at companies dedicated to improving business through cloud technology. Their top coding bootcamps program helps students build a well-rounded portfolio and gain expertise in various software technologies.
Knowledge Hut
OCTOBER 27, 2023
Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Recently, various state of the art deep learning methods is also being developed for recommendation systems.
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Knowledge of machine learning algorithms and deep learning algorithms. Recommended Reading: 50 ML Projects To Strengthen Your Portfolio and Get You Hired FAQs on Learning Data Science Is data science a hard job? No, if one has learned the right set of skills, data science will not be a hard job for them.
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Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Apply machine learning and deep learning algorithms over the dataset to make the system learn the facial features of all the employees.
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JULY 19, 2021
Computer Vision Engineer Interview Questions on Deep Learning: Convolutional Neural Network 1) Explain with an example why the inputs in computer vision problems can get huge. Practicing practical machine learning and computer vision projects is the only way to ensure that you don't fall behind the ML industry.
Knowledge Hut
DECEMBER 26, 2023
Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)
Knowledge Hut
DECEMBER 27, 2023
In Healthcare Doctors can use Deep Learning Algorithms to detect and identify medical concerns by feeding them medical images like MRI, X-ray, and CT scans. This is accomplished by reviewing the customer's purchases, online pursuits, product preferences, and other website behavior.
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