U-Next

NOVEMBER 10, 2022

AI research has many practical applications, including medical diagnosis, speech recognition, and translation between languages. . AI systems can be trained to learn from experience, which means they can improve their performance based on what they’ve previously seen or done. product comparison). . historical data). .

Machine Learning 52

Machine Learning Management Medical Insurance 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

Data Science 52

Data Science Medical Datasets Machine Learning 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. ML algorithms forecast over 50 percent of air conditioning failures a month before they actually happen.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

DECEMBER 9, 2021

The challenging aspect of this problem is the fact that the model is expected to learn from the small set of labelled data and utilize that knowledge to classify the unlabelled data as well as generalize on the unseen data. A mix of both supervised and unsupervised algorithms is nothing but GANs essentially.

Project 52

Project Medical Datasets Deep Learning 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

FEBRUARY 1, 2022

Predictive Modeling — Explain the machine learning model you trained, how did you finalized your machine learning algorithm, and talk about the evaluation techniques you performed on your accuracy score. Data Visualization — Communicate the findings through visualization and what feedback you received.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

MARCH 17, 2014

“It would be the imaging data that a health care provider generates with multiple MRIs and other medical imaging techniques. To add on to this, organizations are realizing that distinct properties of deep learning and machine learning are well-suited to address their requirements in novel ways through big data analytics.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

FEBRUARY 19, 2021

Therefore, it is necessary to detect them early on or use algorithms resistant to outliers. The equation for polynomial regression would obviously be a multinomial one: y = a + bX + cX 2 + dX 3 …… Before we go any further, let me introduce a concept called loss function, used to assess the usefulness of our regression algorithm.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40